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Host: dx66025.eu-west-1.snowflakecomputing.com
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Database: CUSTOMER_SHARES
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Database Management System: Snowflake
Timezone
Data is displayed in the user’s local timezone.
Refresh rate
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V2 EU: Twice a day by 12:00 AM and 12:00 PM UTC
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V2 US: Twice a day by 07:00 AM and 07:00 PM UTC
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V1: Daily by 9:00 CET
Data generated up to 3 hours before this timestamp may be excluded.
Data retention
Phrase Data displays data relevant to the customer’s usage of TMS from the date the customer first subscribed to the present date. Phrase reserves the right to change the period for which the data is displayed, upon notice to customer.
In line with our internal data storage policy, any customer-input text (e.g. project names, file names, domains) from permanently deleted content does not appear in Phrase Data. Permanently deleted content is anonymized and replaced with “Deleted” after 14 days. All numerical values, dates, timestamps, boolean data types from permanently deleted content remain available and table connections are maintained. This ensures that historical KPIs, trends, and forecasting aggregations remain consistent over time.
These fields are available in all Phrase Data tables:
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is_historicalidentifies whether the main entity represented by the table was permanently removed from the Phrase Platform. -
is_anonymizedtracks whether customer-input text tied to the main entity represented by the table was permanently deleted and replaced with Deleted.
View ANALYSIS_COMPARE_JOB_PART_V2 provides data from compare analyses run on job parts. Analysis results are split into standard Phrase match categories:
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Comparison 100, 95, 85, 75, 50, 0
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Repetitions
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Total
For each match category, we provide counts of
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Characters · Characters with spaces
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Pages (norm pages)
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Segments
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Words
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Percentages
Data for Pre- and Post- analysis are stored in a separate view ANALYSIS_JOB_PART_V2.
For each job part, data for all analyses are stored. If an analysis is recalculated, only the last version is kept. To include data for regular project only, it is necessary to join the table with table PROJECT_V2 and filter the data by PROJECT_CLASS_TYPE and select only the value Standard.
|
Column Name |
Column Type |
Column Description |
|---|---|---|
|
ORGANIZATION_ID |
NUMBER |
Organization ID |
|
COMPARE_ANALYSIS_JOB_PART_ID |
NUMBER |
Compare analysis job part ID |
|
ANALYSIS_ID |
NUMBER |
Analysis ID |
|
DATE_CREATED |
TIMESTAMP_LTZ |
Date when analysis was created |
|
ANALYSIS_NAME |
TEXT |
Name of analysis |
|
ANALYSIS_TYPE |
TEXT |
Type of analysis |
|
PROJECT_ID |
NUMBER |
Project ID |
|
JOB_ID |
NUMBER |
Job ID |
|
JOB_PART_ID |
NUMBER |
Job part ID |
|
WORKFLOW_STEP_ID |
NUMBER |
Workflow step ID |
|
WORKFLOW_STEP_NAME |
TEXT |
Workflow step name |
|
NET_RATE_SCHEME_ID |
NUMBER |
Net rate scheme ID |
|
NET_RATE_SCHEME_NAME |
TEXT |
Net rate scheme name |
|
CREATED_BY__USER_ID |
NUMBER |
User ID of the creator of the analysis |
|
CREATED_BY_USERNAME |
TEXT |
Username of the creator of the analysis |
|
CREATED_BY_NAME |
TEXT |
Name of the creator of the analysis |
|
NAMING_PATTERN |
TEXT |
Naming pattern used when creating the analysis |
|
DATA_TEXT_COMPARISON_MATCH0_CHARACTERS |
NUMBER |
Comparison 0 matched characters |
|
DATA_TEXT_COMPARISON_MATCH0_CHARACTERS_WITH_SPACES |
NUMBER |
Comparison 0 matched characters with spaces |
|
DATA_TEXT_COMPARISON_MATCH0_PAGES |
NUMBER |
Comparison 0 matched pages |
|
DATA_TEXT_COMPARISON_MATCH0_PERCENT |
NUMBER |
Comparison 0 matched percentage |
|
DATA_TEXT_COMPARISON_MATCH0_SEGMENTS |
NUMBER |
Comparison 0 matched segments |
|
DATA_TEXT_COMPARISON_MATCH0_WORDS |
NUMBER |
Comparison 0 matched words |
|
DATA_TEXT_COMPARISON_MATCH50_CHARACTERS |
NUMBER |
Comparison 50 matched characters |
|
DATA_TEXT_COMPARISON_MATCH50_CHARACTERS_WITH_SPACES |
NUMBER |
Comparison 50 matched characters with spaces |
|
DATA_TEXT_COMPARISON_MATCH50_PAGES |
NUMBER |
Comparison 50 matched pages |
|
DATA_TEXT_COMPARISON_MATCH50_PERCENT |
NUMBER |
Comparison 50 matched percentage |
|
DATA_TEXT_COMPARISON_MATCH50_SEGMENTS |
NUMBER |
Comparison 50 matched segments |
|
DATA_TEXT_COMPARISON_MATCH50_WORDS |
NUMBER |
Comparison 50 matched words |
|
DATA_TEXT_COMPARISON_MATCH75_CHARACTERS |
NUMBER |
Comparison 75 matched characters |
|
DATA_TEXT_COMPARISON_MATCH75_CHARACTERS_WITH_SPACES |
NUMBER |
Comparison 75 matched characters with spaces |
|
DATA_TEXT_COMPARISON_MATCH75_PAGES |
NUMBER |
Comparison 75 matched pages |
|
DATA_TEXT_COMPARISON_MATCH75_PERCENT |
NUMBER |
Comparison 75 matched percentage |
|
DATA_TEXT_COMPARISON_MATCH75_SEGMENTS |
NUMBER |
Comparison 75 matched segments |
|
DATA_TEXT_COMPARISON_MATCH75_WORDS |
NUMBER |
Comparison 75 matched words |
|
DATA_TEXT_COMPARISON_MATCH85_CHARACTERS |
NUMBER |
Comparison 85 matched characters |
|
DATA_TEXT_COMPARISON_MATCH85_CHARACTERS_WITH_SPACES |
NUMBER |
Comparison 85 matched characters with spaces |
|
DATA_TEXT_COMPARISON_MATCH85_PAGES |
NUMBER |
Comparison 85 matched pages |
|
DATA_TEXT_COMPARISON_MATCH85_PERCENT |
NUMBER |
Comparison 85 matched percentage |
|
DATA_TEXT_COMPARISON_MATCH85_SEGMENTS |
NUMBER |
Comparison 85 matched segments |
|
DATA_TEXT_COMPARISON_MATCH85_WORDS |
NUMBER |
Comparison 85 matched words |
|
DATA_TEXT_COMPARISON_MATCH95_CHARACTERS |
NUMBER |
Comparison 95 matched characters |
|
DATA_TEXT_COMPARISON_MATCH95_CHARACTERS_WITH_SPACES |
NUMBER |
Comparison 95 matched characters with spaces |
|
DATA_TEXT_COMPARISON_MATCH95_PAGES |
NUMBER |
Comparison 95 matched pages |
|
DATA_TEXT_COMPARISON_MATCH95_PERCENT |
NUMBER |
Comparison 95 matched percentage |
|
DATA_TEXT_COMPARISON_MATCH95_SEGMENTS |
NUMBER |
Comparison 95 matched segments |
|
DATA_TEXT_COMPARISON_MATCH95_WORDS |
NUMBER |
Comparison 95 matched words |
|
DATA_TEXT_COMPARISON_MATCH100_CHARACTERS |
NUMBER |
Comparison 100 matched characters |
|
DATA_TEXT_COMPARISON_MATCH100_CHARACTERS_WITH_SPACES |
NUMBER |
Comparison 100 matched characters with spaces |
|
DATA_TEXT_COMPARISON_MATCH100_PAGES |
NUMBER |
Comparison 100 matched pages |
|
DATA_TEXT_COMPARISON_MATCH100_PERCENT |
NUMBER |
Comparison 100 matched percentage |
|
DATA_TEXT_COMPARISON_MATCH100_SEGMENTS |
NUMBER |
Comparison 100 matched segments |
|
DATA_TEXT_COMPARISON_MATCH100_WORDS |
NUMBER |
Comparison 100 matched words |
|
DATA_REPETITIONS_CHARACTERS |
NUMBER |
Repetitions characters |
|
DATA_REPETITIONS_CHARACTERS_WITH_SPACES |
NUMBER |
Repetitions characters with spacess |
|
DATA_REPETITIONS_PAGES |
NUMBER |
Repetitions pages |
|
DATA_REPETITIONS_PERCENT |
NUMBER |
Repetitions percentage |
|
DATA_REPETITIONS_SEGMENTS |
NUMBER |
Repetitions segments |
|
DATA_REPETITIONS_WORDS |
NUMBER |
Repetitions words |
|
DATA_TOTAL_CHARACTERS |
NUMBER |
Total characters |
|
DATA_TOTAL_CHARACTERS_WITH_SPACES |
NUMBER |
Total characters with spacess |
|
DATA_TOTAL_PAGES |
NUMBER |
Total pages |
|
DATA_TOTAL_PERCENT |
NUMBER |
Total percentage |
|
DATA_TOTAL_SEGMENTS |
NUMBER |
Total segments |
|
DATA_TOTAL_WORDS |
NUMBER |
Total words |
|
IS_DELETED |
BOOLEAN |
True/false deleted |
|
INCLUDES_NON_TRANSLATABLES |
BOOLEAN |
Include non-translatables (true/false) |
|
EXCLUDES_NUMBERS |
BOOLEAN |
Exclude numbers (true/false) |
|
INCLUDES_MACHINE_TRANSLATION_MATCHES |
BOOLEAN |
Include machine translation matches (true/false) |
|
EXCLUDES_CONFIRMED_SEGMENTS |
BOOLEAN |
Exclude confirmed segments (true/false) |
|
ALLOWS_AUTOMATIC_POST_ANALYSIS |
BOOLEAN |
Automatically generate post-editing analysis before the source update (true/false) |
|
INCLUDES_TRANSLATION_MEMORY |
BOOLEAN |
Include translation memory matches (true/false) |
|
USES_NON_TRANSLATABLE_POST_EDITING |
BOOLEAN |
Analyze NT post-editing (true/false) |
|
USES_CONFIRMED_SEGMENTS_ONLY |
BOOLEAN |
Set to true when update source is triggered and post-analysis is being created (true/false) |
|
EXCLUDES_LOCKED |
BOOLEAN |
Exclude locked segments (true/false) |
|
USES_TRANSLATION_MEMORY_POST_EDITING |
BOOLEAN |
Analyze TM post-editing (true/false) |
|
IS_ANALYZED_BY_PROVIDER |
BOOLEAN |
Analyze by provider (true/false) |
|
USES_COUNT_UNITS_SOURCE |
BOOLEAN |
Count units of the source (true) or target (false) (true/false) |
|
INCLUDES_INTERNAL_FUZZIES |
BOOLEAN |
Include internal fuzzies (true/false) |
|
IS_ANALYZED_BY_LANGUAGE |
BOOLEAN |
Analyze by language (true/false) |
|
USES_MACHINE_TRANSLATE_POST_EDITING |
BOOLEAN |
Analyze MT post-editing (true/false) |
|
Column Name |
Column Type |
Column Description |
|---|---|---|
|
ORGANIZATION_ID |
NUMBER |
Organization ID |
|
ANALYSIS_JOB_PART_ID |
NUMBER |
Analysis job part ID |
|
ANALYSIS_ID |
NUMBER |
Analysis ID |
|
DATE_CREATED |
TIMESTAMP_LTZ |
Date when analysis was created |
|
DATE_LAST_UPDATED |
TIMESTAMP_LTZ |
Date when analysis was last updated |
|
ANALYSIS_NAME |
TEXT |
Name of analysis |
|
ANALYSIS_TYPE |
TEXT |
Type of analysis |
|
PROJECT_ID |
NUMBER |
Project ID |
|
JOB_ID |
NUMBER |
Job ID |
|
JOB_PART_ID |
NUMBER |
Job part ID |
|
WORKFLOW_STEP_ID |
NUMBER |
Workflow step ID |
|
WORKFLOW_STEP_NAME |
TEXT |
Workflow step name |
|
MACHINE_TRANSLATE_SETTING_ID |
NUMBER |
Machine translate setting ID |
|
NET_RATE_SCHEME_ID |
NUMBER |
Net rate scheme ID |
|
NET_RATE_SCHEME_NAME |
TEXT |
Net rate scheme name |
|
CREATED_BY__USER_ID |
NUMBER |
User ID of the creator of the analysis |
|
CREATED_BY_USERNAME |
TEXT |
Username of the creator of the analysis |
|
CREATED_BY_NAME |
TEXT |
Name of the creator of the analysis |
|
NAMING_PATTERN |
TEXT |
Naming pattern used when creating the analysis |
|
DATA_MT_MATCH0_CHARACTERS |
NUMBER |
MT0 matched characters |
|
DATA_MT_MATCH0_CHARACTERS_WITH_SPACES |
NUMBER |
MT0 matched characters with spaces |
|
DATA_MT_MATCH0_PAGES |
NUMBER |
MT0 matched pages |
|
DATA_MT_MATCH0_PERCENT |
NUMBER |
MT0 matched percentage |
|
DATA_MT_MATCH0_SEGMENTS |
NUMBER |
MT0 matched segments |
|
DATA_MT_MATCH0_WORDS |
NUMBER |
MT0 matched words |
|
DATA_MT_MATCH0_EDITING_TIME_MS |
NUMBER |
MT0 editing time |
|
DATA_MT_MATCH50_CHARACTERS |
NUMBER |
MT50 matched characters |
|
DATA_MT_MATCH50_CHARACTERS_WITH_SPACES |
NUMBER |
MT50 matched characters with spaces |
|
DATA_MT_MATCH50_PAGES |
NUMBER |
MT50 matched pages |
|
DATA_MT_MATCH50_PERCENT |
NUMBER |
MT50 matched percentage |
|
DATA_MT_MATCH50_SEGMENTS |
NUMBER |
MT50 matched segments |
|
DATA_MT_MATCH50_WORDS |
NUMBER |
MT50 matched words |
|
DATA_MT_MATCH50_EDITING_TIME_MS |
NUMBER |
MT50 editing time |
|
DATA_MT_MATCH75_CHARACTERS |
NUMBER |
MT75 matched characters |
|
DATA_MT_MATCH75_CHARACTERS_WITH_SPACES |
NUMBER |
MT75 matched characters with spaces |
|
DATA_MT_MATCH75_PAGES |
NUMBER |
MT75 matched pages |
|
DATA_MT_MATCH75_PERCENT |
NUMBER |
MT75 matched percentage |
|
DATA_MT_MATCH75_SEGMENTS |
NUMBER |
MT75 matched segments |
|
DATA_MT_MATCH75_WORDS |
NUMBER |
MT75 matched words |
|
DATA_MT_MATCH75_EDITING_TIME_MS |
NUMBER |
MT75 editing time |
|
DATA_MT_MATCH85_CHARACTERS |
NUMBER |
MT85 matched characters |
|
DATA_MT_MATCH85_CHARACTERS_WITH_SPACES |
NUMBER |
MT85 matched characters with spaces |
|
DATA_MT_MATCH85_PAGES |
NUMBER |
MT85 matched pages |
|
DATA_MT_MATCH85_PERCENT |
NUMBER |
MT85 matched percentage |
|
DATA_MT_MATCH85_SEGMENTS |
NUMBER |
MT85 matched segments |
|
DATA_MT_MATCH85_WORDS |
NUMBER |
MT85 matched words |
|
DATA_MT_MATCH85_EDITING_TIME_MS |
NUMBER |
MT85 editing time |
|
DATA_MT_MATCH95_CHARACTERS |
NUMBER |
MT95 matched characters |
|
DATA_MT_MATCH95_CHARACTERS_WITH_SPACES |
NUMBER |
MT95 matched characters with spaces |
|
DATA_MT_MATCH95_PAGES |
NUMBER |
MT95 matched pages |
|
DATA_MT_MATCH95_PERCENT |
NUMBER |
MT95 matched percentage |
|
DATA_MT_MATCH95_SEGMENTS |
NUMBER |
MT95 matched segments |
|
DATA_MT_MATCH95_WORDS |
NUMBER |
MT95 matched words |
|
DATA_MT_MATCH95_EDITING_TIME_MS |
NUMBER |
MT95 editing time |
|
DATA_MT_MATCH100_CHARACTERS |
NUMBER |
MT100 matched characters |
|
DATA_MT_MATCH100_CHARACTERS_WITH_SPACES |
NUMBER |
MT100 matched characters with spaces |
|
DATA_MT_MATCH100_PAGES |
NUMBER |
MT100 matched pages |
|
DATA_MT_MATCH100_PERCENT |
NUMBER |
MT100 matched percentage |
|
DATA_MT_MATCH100_SEGMENTS |
NUMBER |
MT100 matched segments |
|
DATA_MT_MATCH100_WORDS |
NUMBER |
MT100 matched words |
|
DATA_MT_MATCH100_EDITING_TIME_MS |
NUMBER |
MT100 editing time |
|
DATA_MT_MATCH101_CHARACTERS |
NUMBER |
MT101 matched characters |
|
DATA_MT_MATCH101_CHARACTERS_WITH_SPACES |
NUMBER |
MT101 matched characters with spaces |
|
DATA_MT_MATCH101_PAGES |
NUMBER |
MT101 matched pages |
|
DATA_MT_MATCH101_PERCENT |
NUMBER |
MT101 matched percentage |
|
DATA_MT_MATCH101_SEGMENTS |
NUMBER |
MT101 matched segments |
|
DATA_MT_MATCH101_WORDS |
NUMBER |
MT101 matched words |
|
DATA_MT_MATCH101_EDITING_TIME_MS |
NUMBER |
MT101 editing time |
|
DATA_TM_MATCH0_CHARACTERS |
NUMBER |
TM0 matched characters |
|
DATA_TM_MATCH0_CHARACTERS_WITH_SPACES |
NUMBER |
TM0 matched characters with spaces |
|
DATA_TM_MATCH0_PAGES |
NUMBER |
TM0 matched pages |
|
DATA_TM_MATCH0_PERCENT |
NUMBER |
TM0 matched percentage |
|
DATA_TM_MATCH0_SEGMENTS |
NUMBER |
TM0 matched segments |
|
DATA_TM_MATCH0_WORDS |
NUMBER |
TM0 matched words |
|
DATA_TM_MATCH0_EDITING_TIME_MS |
NUMBER |
TM0 editing time |
|
DATA_TM_MATCH50_CHARACTERS |
NUMBER |
TM50 matched characters |
|
DATA_TM_MATCH50_CHARACTERS_WITH_SPACES |
NUMBER |
TM50 matched characters with spaces |
|
DATA_TM_MATCH50_PAGES |
NUMBER |
TM50 matched pages |
|
DATA_TM_MATCH50_PERCENT |
NUMBER |
TM50 matched percentage |
|
DATA_TM_MATCH50_SEGMENTS |
NUMBER |
TM50 matched segments |
|
DATA_TM_MATCH50_WORDS |
NUMBER |
TM50 matched words |
|
DATA_TM_MATCH50_EDITING_TIME_MS |
NUMBER |
TM50 editing time |
|
DATA_TM_MATCH75_CHARACTERS |
NUMBER |
TM75 matched characters |
|
DATA_TM_MATCH75_CHARACTERS_WITH_SPACES |
NUMBER |
TM75 matched characters with spaces |
|
DATA_TM_MATCH75_PAGES |
NUMBER |
TM75 matched pages |
|
DATA_TM_MATCH75_PERCENT |
NUMBER |
TM75 matched percentage |
|
DATA_TM_MATCH75_SEGMENTS |
NUMBER |
TM75 matched segments |
|
DATA_TM_MATCH75_WORDS |
NUMBER |
TM75 matched words |
|
DATA_TM_MATCH75_EDITING_TIME_MS |
NUMBER |
TM75 editing time |
|
DATA_TM_MATCH85_CHARACTERS |
NUMBER |
TM85 matched characters |
|
DATA_TM_MATCH85_CHARACTERS_WITH_SPACES |
NUMBER |
TM85 matched characters with spaces |
|
DATA_TM_MATCH85_PAGES |
NUMBER |
TM85 matched pages |
|
DATA_TM_MATCH85_PERCENT |
NUMBER |
TM85 matched percentage |
|
DATA_TM_MATCH85_SEGMENTS |
NUMBER |
TM85 matched segments |
|
DATA_TM_MATCH85_WORDS |
NUMBER |
TM85 matched words |
|
DATA_TM_MATCH85_EDITING_TIME_MS |
NUMBER |
TM85 editing time |
|
DATA_TM_MATCH95_CHARACTERS |
NUMBER |
TM95 matched characters |
|
DATA_TM_MATCH95_CHARACTERS_WITH_SPACES |
NUMBER |
TM95 matched characters with spaces |
|
DATA_TM_MATCH95_PAGES |
NUMBER |
TM95 matched pages |
|
DATA_TM_MATCH95_PERCENT |
NUMBER |
TM95 matched percentage |
|
DATA_TM_MATCH95_SEGMENTS |
NUMBER |
TM95 matched segments |
|
DATA_TM_MATCH95_WORDS |
NUMBER |
TM95 matched words |
|
DATA_TM_MATCH95_EDITING_TIME_MS |
NUMBER |
TM95 editing time |
|
DATA_TM_MATCH100_CHARACTERS |
NUMBER |
TM100 matched characters |
|
DATA_TM_MATCH100_CHARACTERS_WITH_SPACES |
NUMBER |
TM100 matched characters with spaces |
|
DATA_TM_MATCH100_PAGES |
NUMBER |
TM100 matched pages |
|
DATA_TM_MATCH100_PERCENT |
NUMBER |
TM100 matched percentage |
|
DATA_TM_MATCH100_SEGMENTS |
NUMBER |
TM100 matched segments |
|
DATA_TM_MATCH100_WORDS |
NUMBER |
TM100 matched words |
|
DATA_TM_MATCH100_EDITING_TIME_MS |
NUMBER |
TM100 editing time |
|
DATA_TM_MATCH101_CHARACTERS |
NUMBER |
TM101 matched characters |
|
DATA_TM_MATCH101_CHARACTERS_WITH_SPACES |
NUMBER |
TM101 matched characters with spaces |
|
DATA_TM_MATCH101_PAGES |
NUMBER |
TM101 matched pages |
|
DATA_TM_MATCH101_PERCENT |
NUMBER |
TM101 matched percentage |
|
DATA_TM_MATCH101_SEGMENTS |
NUMBER |
TM101 matched segments |
|
DATA_TM_MATCH101_WORDS |
NUMBER |
TM101 matched words |
|
DATA_TM_MATCH101_EDITING_TIME_MS |
NUMBER |
TM101 editing time |
|
DATA_NT_MATCH0_CHARACTERS |
NUMBER |
NT0 matched characters |
|
DATA_NT_MATCH0_CHARACTERS_WITH_SPACES |
NUMBER |
NT0 matched characters with spaces |
|
DATA_NT_MATCH0_PAGES |
NUMBER |
NT0 matched pages |
|
DATA_NT_MATCH0_PERCENT |
NUMBER |
NT0 matched percentage |
|
DATA_NT_MATCH0_SEGMENTS |
NUMBER |
NT0 matched segments |
|
DATA_NT_MATCH0_WORDS |
NUMBER |
NT0 matched words |
|
DATA_NT_MATCH0_EDITING_TIME_MS |
NUMBER |
NT0 editing time |
|
DATA_NT_MATCH50_CHARACTERS |
NUMBER |
NT50 matched characters |
|
DATA_NT_MATCH50_CHARACTERS_WITH_SPACES |
NUMBER |
NT50 matched characters with spaces |
|
DATA_NT_MATCH50_PAGES |
NUMBER |
NT50 matched pages |
|
DATA_NT_MATCH50_PERCENT |
NUMBER |
NT50 matched percentage |
|
DATA_NT_MATCH50_SEGMENTS |
NUMBER |
NT50 matched segments |
|
DATA_NT_MATCH50_WORDS |
NUMBER |
NT50 matched words |
|
DATA_NT_MATCH50_EDITING_TIME_MS |
NUMBER |
NT50 editing time |
|
DATA_NT_MATCH75_CHARACTERS |
NUMBER |
NT75 matched characters |
|
DATA_NT_MATCH75_CHARACTERS_WITH_SPACES |
NUMBER |
NT75 matched characters with spaces |
|
DATA_NT_MATCH75_PAGES |
NUMBER |
NT75 matched pages |
|
DATA_NT_MATCH75_PERCENT |
NUMBER |
NT75 matched percentage |
|
DATA_NT_MATCH75_SEGMENTS |
NUMBER |
NT75 matched segments |
|
DATA_NT_MATCH75_WORDS |
NUMBER |
NT75 matched words |
|
DATA_NT_MATCH75_EDITING_TIME_MS |
NUMBER |
NT75 editing time |
|
DATA_NT_MATCH85_CHARACTERS |
NUMBER |
NT85 matched characters |
|
DATA_NT_MATCH85_CHARACTERS_WITH_SPACES |
NUMBER |
NT85 matched characters with spaces |
|
DATA_NT_MATCH85_PAGES |
NUMBER |
NT85 matched pages |
|
DATA_NT_MATCH85_PERCENT |
NUMBER |
NT85 matched percentage |
|
DATA_NT_MATCH85_SEGMENTS |
NUMBER |
NT85 matched segments |
|
DATA_NT_MATCH85_WORDS |
NUMBER |
NT85 matched words |
|
DATA_NT_MATCH85_EDITING_TIME_MS |
NUMBER |
NT85 editing time |
|
DATA_NT_MATCH95_CHARACTERS |
NUMBER |
NT95 matched characters |
|
DATA_NT_MATCH95_CHARACTERS_WITH_SPACES |
NUMBER |
NT95 matched characters with spaces |
|
DATA_NT_MATCH95_PAGES |
NUMBER |
NT95 matched pages |
|
DATA_NT_MATCH95_PERCENT |
NUMBER |
NT95 matched percentage |
|
DATA_NT_MATCH95_SEGMENTS |
NUMBER |
NT95 matched segments |
|
DATA_NT_MATCH95_WORDS |
NUMBER |
NT95 matched words |
|
DATA_NT_MATCH95_EDITING_TIME_MS |
NUMBER |
NT95 editing time |
|
DATA_NT_MATCH100_CHARACTERS |
NUMBER |
NT100 matched characters |
|
DATA_NT_MATCH100_CHARACTERS_WITH_SPACES |
NUMBER |
NT100 matched characters with spaces |
|
DATA_NT_MATCH100_PAGES |
NUMBER |
NT100 matched pages |
|
DATA_NT_MATCH100_PERCENT |
NUMBER |
NT100 matched percentage |
|
DATA_NT_MATCH100_SEGMENTS |
NUMBER |
NT100 matched segments |
|
DATA_NT_MATCH100_WORDS |
NUMBER |
NT100 matched words |
|
DATA_NT_MATCH100_EDITING_TIME_MS |
NUMBER |
NT100 editing time |
|
DATA_REPETITIONS_CHARACTERS |
NUMBER |
Repetitions matched characters |
|
DATA_REPETITIONS_CHARACTERS_WITH_SPACES |
NUMBER |
Repetitions matched characters with spaces |
|
DATA_REPETITIONS_PAGES |
NUMBER |
Repetitions matched pages |
|
DATA_REPETITIONS_PERCENT |
NUMBER |
Repetitions matched percentage |
|
DATA_REPETITIONS_SEGMENTS |
NUMBER |
Repetitions matched segments |
|
DATA_REPETITIONS_WORDS |
NUMBER |
Repetitions matched words |
|
DATA_REPETITIONS_EDITING_TIME_MS |
NUMBER |
Repetitions editing time |
|
DATA_TOTAL_CHARACTERS |
NUMBER |
Total characters |
|
DATA_TOTAL_CHARACTERS_WITH_SPACES |
NUMBER |
Total characters with spaces |
|
DATA_TOTAL_PAGES |
NUMBER |
Total pages |
|
DATA_TOTAL_PERCENT |
NUMBER |
Total percentage |
|
DATA_TOTAL_SEGMENTS |
NUMBER |
Total segments |
|
DATA_TOTAL_WORDS |
NUMBER |
Total words |
|
DATA_TOTAL_EDITING_TIME_MS |
NUMBER |
Total editing time |
|
NET_DATA_MT_MATCH0_CHARACTERS |
NUMBER |
Net MT0 matched characters |
|
NET_DATA_MT_MATCH0_CHARACTERS_WITH_SPACES |
NUMBER |
Net MT0 matched characters with spaces |
|
NET_DATA_MT_MATCH0_PAGES |
NUMBER |
Net MT0 matched pages |
|
NET_DATA_MT_MATCH0_SEGMENTS |
NUMBER |
Net MT0 matched segments |
|
NET_DATA_MT_MATCH0_WORDS |
NUMBER |
Net MT0 matched words |
|
NET_DATA_MT_MATCH50_CHARACTERS |
NUMBER |
Net MT50 matched characters |
|
NET_DATA_MT_MATCH50_CHARACTERS_WITH_SPACES |
NUMBER |
Net MT50 matched characters with spaces |
|
NET_DATA_MT_MATCH50_PAGES |
NUMBER |
Net MT50 matched pages |
|
NET_DATA_MT_MATCH50_SEGMENTS |
NUMBER |
Net MT50 matched segments |
|
NET_DATA_MT_MATCH50_WORDS |
NUMBER |
Net MT50 matched words |
|
NET_DATA_MT_MATCH75_CHARACTERS |
NUMBER |
Net MT75 matched characters |
|
NET_DATA_MT_MATCH75_CHARACTERS_WITH_SPACES |
NUMBER |
Net MT75 matched characters with spaces |
|
NET_DATA_MT_MATCH75_PAGES |
NUMBER |
Net MT75 matched pages |
|
NET_DATA_MT_MATCH75_SEGMENTS |
NUMBER |
Net MT75 matched segments |
|
NET_DATA_MT_MATCH75_WORDS |
NUMBER |
Net MT75 matched words |
|
NET_DATA_MT_MATCH85_CHARACTERS |
NUMBER |
Net MT85 matched characters |
|
NET_DATA_MT_MATCH85_CHARACTERS_WITH_SPACES |
NUMBER |
Net MT85 matched characters with spaces |
|
NET_DATA_MT_MATCH85_PAGES |
NUMBER |
Net MT85 matched pages |
|
NET_DATA_MT_MATCH85_SEGMENTS |
NUMBER |
Net MT85 matched segments |
|
NET_DATA_MT_MATCH85_WORDS |
NUMBER |
Net MT85 matched words |
|
NET_DATA_MT_MATCH95_CHARACTERS |
NUMBER |
Net MT95 matched characters |
|
NET_DATA_MT_MATCH95_CHARACTERS_WITH_SPACES |
NUMBER |
Net MT95 matched characters with spaces |
|
NET_DATA_MT_MATCH95_PAGES |
NUMBER |
Net MT95 matched pages |
|
NET_DATA_MT_MATCH95_SEGMENTS |
NUMBER |
Net MT95 matched segments |
|
NET_DATA_MT_MATCH95_WORDS |
NUMBER |
Net MT95 matched words |
|
NET_DATA_MT_MATCH100_CHARACTERS |
NUMBER |
Net MT100 matched characters |
|
NET_DATA_MT_MATCH100_CHARACTERS_WITH_SPACES |
NUMBER |
Net MT100 matched characters with spaces |
|
NET_DATA_MT_MATCH100_PAGES |
NUMBER |
Net MT100 matched pages |
|
NET_DATA_MT_MATCH100_SEGMENTS |
NUMBER |
Net MT100 matched segments |
|
NET_DATA_MT_MATCH100_WORDS |
NUMBER |
Net MT100 matched words |
|
NET_DATA_MT_MATCH101_CHARACTERS |
NUMBER |
Net MT101 matched characters |
|
NET_DATA_MT_MATCH101_CHARACTERS_WITH_SPACES |
NUMBER |
Net MT101 matched characters with spaces |
|
NET_DATA_MT_MATCH101_PAGES |
NUMBER |
Net MT101 matched pages |
|
NET_DATA_MT_MATCH101_SEGMENTS |
NUMBER |
Net MT101 matched segments |
|
NET_DATA_MT_MATCH101_WORDS |
NUMBER |
Net MT101 matched words |
|
NET_DATA_TM_MATCH0_CHARACTERS |
NUMBER |
Net TM0 matched characters |
|
NET_DATA_TM_MATCH0_CHARACTERS_WITH_SPACES |
NUMBER |
Net TM0 matched characters with spaces |
|
NET_DATA_TM_MATCH0_PAGES |
NUMBER |
Net TM0 matched pages |
|
NET_DATA_TM_MATCH0_SEGMENTS |
NUMBER |
Net TM0 matched segments |
|
NET_DATA_TM_MATCH0_WORDS |
NUMBER |
Net TM0 matched words |
|
NET_DATA_TM_MATCH50_CHARACTERS |
NUMBER |
Net TM50 matched characters |
|
NET_DATA_TM_MATCH50_CHARACTERS_WITH_SPACES |
NUMBER |
Net TM50 matched characters with spaces |
|
NET_DATA_TM_MATCH50_PAGES |
NUMBER |
Net TM50 matched pages |
|
NET_DATA_TM_MATCH50_SEGMENTS |
NUMBER |
Net TM50 matched segments |
|
NET_DATA_TM_MATCH50_WORDS |
NUMBER |
Net TM50 matched words |
|
NET_DATA_TM_MATCH75_CHARACTERS |
NUMBER |
Net TM75 matched characters |
|
NET_DATA_TM_MATCH75_CHARACTERS_WITH_SPACES |
NUMBER |
Net TM75 matched characters with spaces |
|
NET_DATA_TM_MATCH75_PAGES |
NUMBER |
Net TM75 matched pages |
|
NET_DATA_TM_MATCH75_SEGMENTS |
NUMBER |
Net TM75 matched segments |
|
NET_DATA_TM_MATCH75_WORDS |
NUMBER |
Net TM75 matched words |
|
NET_DATA_TM_MATCH85_CHARACTERS |
NUMBER |
Net TM85 matched characters |
|
NET_DATA_TM_MATCH85_CHARACTERS_WITH_SPACES |
NUMBER |
Net TM85 matched characters with spaces |
|
NET_DATA_TM_MATCH85_PAGES |
NUMBER |
Net TM85 matched pages |
|
NET_DATA_TM_MATCH85_SEGMENTS |
NUMBER |
Net TM85 matched segments |
|
NET_DATA_TM_MATCH85_WORDS |
NUMBER |
Net TM85 matched words |
|
NET_DATA_TM_MATCH95_CHARACTERS |
NUMBER |
Net TM95 matched characters |
|
NET_DATA_TM_MATCH95_CHARACTERS_WITH_SPACES |
NUMBER |
Net TM95 matched characters with spaces |
|
NET_DATA_TM_MATCH95_PAGES |
NUMBER |
Net TM95 matched pages |
|
NET_DATA_TM_MATCH95_SEGMENTS |
NUMBER |
Net TM95 matched segments |
|
NET_DATA_TM_MATCH95_WORDS |
NUMBER |
Net TM95 matched words |
|
NET_DATA_TM_MATCH100_CHARACTERS |
NUMBER |
Net TM100 matched characters |
|
NET_DATA_TM_MATCH100_CHARACTERS_WITH_SPACES |
NUMBER |
Net TM100 matched characters with spaces |
|
NET_DATA_TM_MATCH100_PAGES |
NUMBER |
Net TM100 matched pages |
|
NET_DATA_TM_MATCH100_SEGMENTS |
NUMBER |
Net TM100 matched segments |
|
NET_DATA_TM_MATCH100_WORDS |
NUMBER |
Net TM100 matched words |
|
NET_DATA_TM_MATCH101_CHARACTERS |
NUMBER |
Net TM101 matched characters |
|
NET_DATA_TM_MATCH101_CHARACTERS_WITH_SPACES |
NUMBER |
Net TM101 matched characters with spaces |
|
NET_DATA_TM_MATCH101_PAGES |
NUMBER |
Net TM101 matched pages |
|
NET_DATA_TM_MATCH101_SEGMENTS |
NUMBER |
Net TM101 matched segments |
|
NET_DATA_TM_MATCH101_WORDS |
NUMBER |
Net TM101 matched words |
|
NET_DATA_NT_MATCH0_CHARACTERS |
NUMBER |
Net NT0 matched characters |
|
NET_DATA_NT_MATCH0_CHARACTERS_WITH_SPACES |
NUMBER |
Net NT0 matched characters with spaces |
|
NET_DATA_NT_MATCH0_PAGES |
NUMBER |
Net NT0 matched pages |
|
NET_DATA_NT_MATCH0_SEGMENTS |
NUMBER |
Net NT0 matched segments |
|
NET_DATA_NT_MATCH0_WORDS |
NUMBER |
Net NT0 matched words |
|
NET_DATA_NT_MATCH50_CHARACTERS |
NUMBER |
Net NT50 matched characters |
|
NET_DATA_NT_MATCH50_CHARACTERS_WITH_SPACES |
NUMBER |
Net NT50 matched characters with spaces |
|
NET_DATA_NT_MATCH50_PAGES |
NUMBER |
Net NT50 matched pages |
|
NET_DATA_NT_MATCH50_SEGMENTS |
NUMBER |
Net NT50 matched segments |
|
NET_DATA_NT_MATCH50_WORDS |
NUMBER |
Net NT50 matched words |
|
NET_DATA_NT_MATCH75_CHARACTERS |
NUMBER |
Net NT75 matched characters |
|
NET_DATA_NT_MATCH75_CHARACTERS_WITH_SPACES |
NUMBER |
Net NT75 matched characters with spaces |
|
NET_DATA_NT_MATCH75_PAGES |
NUMBER |
Net NT75 matched pages |
|
NET_DATA_NT_MATCH75_SEGMENTS |
NUMBER |
Net NT75 matched segments |
|
NET_DATA_NT_MATCH75_WORDS |
NUMBER |
Net NT75 matched words |
|
NET_DATA_NT_MATCH85_CHARACTERS |
NUMBER |
Net NT85 matched characters |
|
NET_DATA_NT_MATCH85_CHARACTERS_WITH_SPACES |
NUMBER |
Net NT85 matched characters with spaces |
|
NET_DATA_NT_MATCH85_PAGES |
NUMBER |
Net NT85 matched pages |
|
NET_DATA_NT_MATCH85_SEGMENTS |
NUMBER |
Net NT85 matched segments |
|
NET_DATA_NT_MATCH85_WORDS |
NUMBER |
Net NT85 matched words |
|
NET_DATA_NT_MATCH95_CHARACTERS |
NUMBER |
Net NT95 matched characters |
|
NET_DATA_NT_MATCH95_CHARACTERS_WITH_SPACES |
NUMBER |
Net NT95 matched characters with spaces |
|
NET_DATA_NT_MATCH95_PAGES |
NUMBER |
Net NT95 matched pages |
|
NET_DATA_NT_MATCH95_SEGMENTS |
NUMBER |
Net NT95 matched segments |
|
NET_DATA_NT_MATCH95_WORDS |
NUMBER |
Net NT95 matched words |
|
NET_DATA_NT_MATCH100_CHARACTERS |
NUMBER |
Net NT100 matched characters |
|
NET_DATA_NT_MATCH100_CHARACTERS_WITH_SPACES |
NUMBER |
Net NT100 matched characters with spaces |
|
NET_DATA_NT_MATCH100_PAGES |
NUMBER |
Net NT100 matched pages |
|
NET_DATA_NT_MATCH100_SEGMENTS |
NUMBER |
Net NT100 matched segments |
|
NET_DATA_NT_MATCH100_WORDS |
NUMBER |
Net NT100 matched words |
|
NET_DATA_REPETITIONS_CHARACTERS |
NUMBER |
Net Repetitions matched characters |
|
NET_DATA_REPETITIONS_CHARACTERS_WITH_SPACES |
NUMBER |
Net Repetitions matched characters with spaces |
|
NET_DATA_REPETITIONS_PAGES |
NUMBER |
Net Repetitions matched pages |
|
NET_DATA_REPETITIONS_SEGMENTS |
NUMBER |
Net Repetitions matched segments |
|
NET_DATA_REPETITIONS_WORDS |
NUMBER |
Net Repetitions matched words |
|
NET_DATA_TOTAL_CHARACTERS |
NUMBER |
Total characters (net value) |
|
NET_DATA_TOTAL_CHARACTERS_WITH_SPACES |
NUMBER |
Total characters with spaces (net value) |
|
NET_DATA_TOTAL_PAGES |
NUMBER |
Total pages (net value) |
|
NET_DATA_TOTAL_SEGMENTS |
NUMBER |
Total segments (net value) |
|
NET_DATA_TOTAL_WORDS |
NUMBER |
Total words (net value) |
|
IS_DELETED |
BOOLEAN |
True/false deleted |
|
INCLUDES_NON_TRANSLATABLES |
BOOLEAN |
Include non-translatables (true/false) |
|
EXCLUDES_NUMBERS |
BOOLEAN |
Exclude numbers (true/false) |
|
INCLUDES_MACHINE_TRANSLATION_MATCHES |
BOOLEAN |
Refers to the analysis option called and returns true/false |
|
EXCLUDES_CONFIRMED_SEGMENTS |
BOOLEAN |
Exclude confirmed segments (true/false) |
|
ALLOWS_AUTOMATIC_POST_ANALYSIS |
BOOLEAN |
Automatically generate post-editing analysis before the source update (true/false) |
|
INCLUDES_TRANSLATION_MEMORY |
BOOLEAN |
Include translation memory matches (true/false) |
|
USES_NON_TRANSLATABLE_POST_EDITING |
BOOLEAN |
Analyze NT post-editing (true/false) |
|
USES_CONFIRMED_SEGMENTS_ONLY |
BOOLEAN |
Set to true when update source is triggered and post-analysis is being created (true/false) |
|
EXCLUDES_LOCKED |
BOOLEAN |
Exclude locked segments (true/false) |
|
USES_TRANSLATION_MEMORY_POST_EDITING |
BOOLEAN |
Analyze TM post-editing (true/false) |
|
IS_ANALYZED_BY_PROVIDER |
BOOLEAN |
Analyze by provider (true/false) |
|
USES_COUNT_UNITS_SOURCE |
BOOLEAN |
Count units of the source (true) or target (false) (true/false) |
|
INCLUDES_INTERNAL_FUZZIES |
BOOLEAN |
Include internal fuzzies (true/false) |
|
IS_ANALYZED_BY_LANGUAGE |
BOOLEAN |
Analyze by language (true/false) |
|
USES_MACHINE_TRANSLATE_POST_EDITING |
BOOLEAN |
Analyze MT post-editing (true/false) |
This table is only available to the Phrase Data EU instance.
The JOB_MT_METRICS_V1 contains MT metrics for each relevant job. There are multiple conditions that a job must meet in order to be included here, and for the feedback score to be non-zero:
-
The document translation must be finished (all segments have been confirmed, level > 0).
-
At least 10 seconds must be spent in the document on post-editing.
-
Segments are only included if their editing time exceeds 250 ms.
-
If Phrase Translate is not used in the project, your default MT profile must have at least one engine enabled.
|
Column Name |
Column Type |
Column Description |
|---|---|---|
|
BLEU |
FLOAT |
BLEU MT metric |
|
CHRF3 |
FLOAT |
chrf3 MT metric |
|
DOMAIN_LABEL |
TEXT |
Name of the domain our automated system gave to the job by analyzing its content. |
|
JOB_ID |
NUMBER |
The ID of the job, you can join this to the id column in the job_v1 table. |
|
MACHINE_TRANSLATE_SETTINGS_ID |
NUMBER |
The ID of the MT setting, identifying the MT engine that contributed the most to the scores (usually there should be only one). You can join to the ID column in the machine_translate_setting_v2 table to get more info about the MT engine. |
|
MT_SEGMENT_COUNT |
NUMBER |
The number of segments which were taken into account when calculating the 3 metrics. If this is zero, it means the MT metrics for this job are irrelevant/do not apply. |
|
ORGANIZATION_ID |
NUMBER |
Organization ID |
|
TER |
FLOAT |
TER MT metric capped to 1 |
|
WORKFLOW_STEP_ID |
NUMBER |
The ID of the workflow step the metrics were calculated on/for |
|
DOCUMENT_STATUS |
TEXT |
Status of the document and can contain one of the following values:
|
|
Column Name |
Column Type |
Column Description |
|---|---|---|
|
ORGANIZATION_ID |
NUMBER |
Organization ID |
|
ASSIGNMENT_ID |
NUMBER |
Job part Assignment ID |
|
JOB_PART_ID |
NUMBER |
Job part ID |
|
LINGUIST__USER_ID |
NUMBER |
Linguist User ID |
|
ASSIGNED_TURN_OF_SERVICE_INDEX |
NUMBER |
Order of the assignment in case of multiple assignments to a single job part |
|
VENDOR_ID |
NUMBER |
Vendor ID |
|
JOB_PART_STATUS_ORDER |
NUMBER |
It indicates the status of the job part in a numerical form (values from 1 to 8) |
|
IS_HISTORICAL |
BOOLEAN |
It indicates whether the record refers to an assignment which does not exist anymore in TMS |
The table displays the history of due date changes for each individual job part, indicating when the changes were made and who made them.
|
Column Name |
Column Type |
Column Description |
|---|---|---|
|
ORGANIZATION_ID |
NUMBER |
Organization ID |
|
JOB_PART_ID |
NUMBER |
Job part ID |
|
JOB_PART_DATE_DUE_CHANGE_ID |
NUMBER |
ID of the job part due date change |
|
DATE_CREATED |
TIMESTAMP_LTZ |
The date/time of when the job part due date is changed |
|
CREATED_BY__USER_ID |
NUMBER |
ID of the user who changed the due date |
|
DATE_DUE_JOB_PART_NEW |
TIMESTAMP_LTZ |
The new due date/time set for the job part |
|
DATE_DUE_JOB_PART_OLD |
TIMESTAMP_LTZ |
The old due date/time previously set for the job part |
|
Column Name |
Column Type |
Column Description |
|---|---|---|
|
ORGANIZATION_ID |
NUMBER |
Organization ID |
|
JOB_PART_ID |
NUMBER |
Job part ID |
|
JOB_PART_UID |
TEXT |
Job part UID |
|
JOB_ID |
NUMBER |
Job ID |
|
JOB_UID |
TEXT |
Job UID |
|
PROJECT_ID |
NUMBER |
Project ID |
|
PROJECT_NAME |
TEXT |
Project name |
|
PROJECT_OWNER__USER_ID |
NUMBER |
User ID of the project owner |
|
WORKFLOW_STEP_ID |
NUMBER |
Workflow step ID |
|
WORKFLOW_STEP_NAME |
TEXT |
Workflow step name |
|
DATE_CREATED |
TIMESTAMP_LTZ |
Date/time when job part was created |
|
IS_DELETED |
BOOLEAN |
True/false deleted |
|
CHARS_COMPLETED |
NUMBER |
Source characters of completed (confirmed OR locked) segments |
|
CHARS_COMPLETED_NON_ZERO_EDIT |
NUMBER |
Source characters of completed (confirmed OR locked) segments with non-zero editing time |
|
CHARS_CONFIRMED |
NUMBER |
Source characters of confirmed segments |
|
CHARS_CONFIRMED_NON_ZERO_EDIT |
NUMBER |
Source characters of confirmed segments with non-zero editing time |
|
CHARS_CONFIRMED_AND_LOCKED |
NUMBER |
Source characters of confirmed AND locked segments |
|
CHARS_CONFIRMED_AND_LOCKED_NON_ZERO_EDIT |
NUMBER |
Source characters of confirmed AND locked segments with non-zero editing time |
|
CHARS_LOCKED |
NUMBER |
Source characters of locked segments |
|
CHARS_LOCKED_NON_ZERO_EDIT |
NUMBER |
Source characters of locked segments with non-zero editing time |
|
CHARS_PROCESSED |
NUMBER |
Total source characters |
|
CHARS_PROCESSED_NON_ZERO_EDIT |
NUMBER |
Total source characters with non-zero editing time |
|
QA_WARNINGS |
NUMBER |
Count of unresolved QA warnings |
|
QA_IGNORED_WARNINGS |
NUMBER |
Count of ignored QA warnings |
|
SEGMENTS_COMPLETED |
NUMBER |
Count of completed (confirmed OR locked) segments |
|
SEGMENTS_COMPLETED_NON_ZERO_EDIT |
NUMBER |
Count of completed (confirmed OR locked) segments with non-zero editing time |
|
SEGMENTS_CONFIRMED |
NUMBER |
Count of confirmed segments |
|
SEGMENTS_CONFIRMED_NON_ZERO_EDIT |
NUMBER |
Count of confirmed segments with non-zero editing time |
|
SEGMENTS_CONFIRMED_AND_LOCKED |
NUMBER |
Count of confirmed AND locked segments |
|
SEGMENTS_CONFIRMED_AND_LOCKED_NON_ZERO_EDIT |
NUMBER |
Count of confirmed AND locked segments with non-zero editing time |
|
SEGMENTS_LOCKED |
NUMBER |
Count of locked segments |
|
SEGMENTS_LOCKED_NON_ZERO_EDIT |
NUMBER |
Count of locked segments with non-zero editing time |
|
SEGMENTS_PROCESSED |
NUMBER |
Total source segments |
|
SEGMENTS_PROCESSED_NON_ZERO_EDIT |
NUMBER |
Total source segments with non-zero editing time |
|
SEGMENTS_MT_POST_EDITED |
NUMBER |
Count of segments where the target differes from the available MT |
|
SEGMENTS_MT_POST_EDITED_NON_ZERO_EDIT |
NUMBER |
Count of segments with non-zero editing time where the target differes from the available MT |
|
SEGMENTS_MT_RELEVANT |
NUMBER |
Count of segments where MT was available to the linguist |
|
SEGMENTS_MT_RELEVANT_NON_ZERO_EDIT |
NUMBER |
Count of segments with non-zero editing time where MT was available to the linguist |
|
SEGMENTS_QA_CHECKED |
NUMBER |
Count of segments for which QA was run |
|
SEGMENTS_QA_CHECKED_NON_ZERO_EDIT |
NUMBER |
Count of segments with non-zero editing time for which QA was run |
|
WORDS_COMPLETED |
NUMBER |
Source words of completed (confirmed OR locked) segments |
|
WORDS_COMPLETED_NON_ZERO_EDIT |
NUMBER |
Source words of completed (confirmed OR locked) segments with non-zero editing time |
|
WORDS_CONFIRMED |
NUMBER |
Source words of confirmed segments |
|
WORDS_CONFIRMED_NON_ZERO_EDIT |
NUMBER |
Source words of confirmed segments with non-zero editing time |
|
WORDS_CONFIRMED_AND_LOCKED |
NUMBER |
Source words of confirmed AND locked segments |
|
WORDS_CONFIRMED_AND_LOCKED_NON_ZERO_EDIT |
NUMBER |
Source words of confirmed AND locked segments with non-zero editing time |
|
WORDS_LOCKED |
NUMBER |
Source words of locked segments |
|
WORDS_LOCKED_NON_ZERO_EDIT |
NUMBER |
Source words of locked segments with non-zero editing time |
|
WORDS_PROCESSED |
NUMBER |
Total source wordcount |
|
WORDS_PROCESSED_NON_ZERO_EDIT |
NUMBER |
Total source wordcount with non-zero editing time |
|
TOTAL_THINKING_TIME_MS |
NUMBER |
Total thinking time in milliseconds |
|
TOTAL_EDITING_TIME_MS |
NUMBER |
Total editing time in milliseconds |
|
WORDS_PER_HOUR_AVG |
NUMBER |
Source words per hour [AVG] |
View JOB_PART_STATUS_CHANGE_V2 provides the whole history of job part status changes for each individual job part.
|
Column Name |
Column Type |
Column Description |
|---|---|---|
|
ORGANIZATION_ID |
NUMBER |
Organization ID |
|
JOB_PART_STATUS_CHANGE_ID |
NUMBER |
Job part status change ID |
|
CREATED_BY__USER_ID |
NUMBER |
ID of the user who the changed the status |
|
DATE_CREATED |
TIMESTAMP_LTZ |
Date/time of job part status change |
|
JOB_PART_ID |
NUMBER |
Job part ID |
|
JOB_PART_STATUS |
TEXT |
Job part status |
|
Column Name |
Column Type |
Column Description |
|---|---|---|
|
ORGANIZATION_ID |
NUMBER |
Organization ID |
|
JOB_PART_ID |
NUMBER |
Job part ID |
|
JOB_PART_UID |
TEXT |
Job part unique ID |
|
INNER_ID |
TEXT |
ID of the job part in project UI |
|
BEGIN_INDEX |
NUMBER |
Index of the first 'tgroup' in an mxliff of the portion of the document this job part represents |
|
CREATED_BY__USER_ID |
NUMBER |
ID of the user who created the job part |
|
DATE_CREATED |
TIMESTAMP_LTZ |
Date/time when job part was created |
|
DATE_DUE |
TIMESTAMP_LTZ |
Job part due date/time |
|
IS_DELETED |
BOOLEAN |
True/false deleted |
|
END_INDEX |
NUMBER |
Index of the last 'tgroup' in an mxliff of the portion of the document this job part represents |
|
JOB_ID |
NUMBER |
Job ID |
|
DATE_LAST_MODIFIED |
TIMESTAMP_LTZ |
Date/time when job part was last modified |
|
LAST_MODIFIED_BY__USER_ID |
NUMBER |
ID of the user who last modified the job part |
|
JOB_PART_LEVEL |
NUMBER |
Job part level |
|
PROJECT_ID |
NUMBER |
Project ID |
|
JOB_PART_STATUS |
TEXT |
Job part status |
|
WORKFLOW_STEP_ID |
NUMBER |
Workflow step ID |
|
Column Name |
Column Type |
Column Description |
|---|---|---|
|
ORGANIZATION_ID |
NUMBER |
Organization ID |
|
JOB_ID |
NUMBER |
Job ID |
|
JOB_UID |
TEXT |
Job unique ID |
|
CREATED_BY__USER_ID |
NUMBER |
ID of the user who created the job |
|
DATE_CREATED |
TIMESTAMP_LTZ |
Date/time when job was created |
|
DATE_DELETED |
TIMESTAMP_LTZ |
Date/time when job was deleted |
|
IS_DELETED |
BOOLEAN |
True/false deleted |
|
DELETED_BY__USER_ID |
NUMBER |
ID of the user who deleted the job |
|
END_INDEX |
NUMBER |
Index of the last 'tgroup' in an mxliff of this job |
|
EXTENSION |
TEXT |
Job extension |
|
ORIGINAL_FILE_DIRECTORY |
TEXT |
The folder path location of the file that is chosen to create a job |
|
FILE_NAME |
TEXT |
File name |
|
LANGUAGE_PAIR |
TEXT |
Language pair |
|
DATE_LAST_MODIFIED |
TIMESTAMP_LTZ |
Date/time when job was modified |
|
LAST_MODIFIED_BY__USER_ID |
NUMBER |
ID of the user who modified the job |
|
LOCALE_PAIR |
TEXT |
Locale pair |
|
PROJECT_ID |
NUMBER |
Project ID |
|
SOURCE_LANGUAGE |
TEXT |
Source language |
|
SOURCE_LOCALE |
TEXT |
Source locale |
|
TARGET_LANGUAGE |
TEXT |
Target language |
|
TARGET_LOCALE |
TEXT |
Target locale |
|
Column Name |
Column Type |
Column Description |
|---|---|---|
|
ORGANIZATION_ID |
NUMBER |
Organization ID |
|
ASSESSMENT_ID |
NUMBER |
Assessment ID |
|
PROFILE_ID |
NUMBER |
Profile ID |
|
PROFILE_NAME |
TEXT |
Profile name |
|
IS_ACCURACY_ENABLED |
BOOLEAN |
Is accuracy selected |
|
ACCURACY_WEIGHT |
NUMBER |
Weight of accuracy |
|
IS_ADDITION_ENABLED |
BOOLEAN |
Is addition selected |
|
ADDITION_WEIGHT |
NUMBER |
Weight of addition |
|
IS_IMPROPER_TM_MATCH_ENABLED |
BOOLEAN |
Is improper translation memory match selected |
|
IMPROPER_TM_MATCH_WEIGHT |
NUMBER |
Weight of improper translation memory match |
|
IS_MISTRANSLATION_ENABLED |
BOOLEAN |
Is mistranslation selected |
|
MISTRANSLATION_WEIGHT |
NUMBER |
Weight of mistranslation |
|
IS_OMISSION_ENABLED |
BOOLEAN |
Is omission selected |
|
OMISSION_WEIGHT |
NUMBER |
Weight of omission |
|
IS_UNDER_TRANSLATION_ENABLED |
BOOLEAN |
Is under translation selected |
|
UNDER_TRANSLATION_WEIGHT |
NUMBER |
Weight of under translation |
|
IS_UNTRANSLATED_ENABLED |
BOOLEAN |
Is untranslated selected |
|
UNTRANSLATED_WEIGHT |
NUMBER |
Weight of untranslated |
|
IS_OVER_TRANSLATION_ENABLED |
BOOLEAN |
Is over translation selected |
|
OVER_TRANSLATION_WEIGHT |
NUMBER |
Weight of over translation |
|
IS_DESIGN_ENABLED |
BOOLEAN |
Is design selected |
|
DESIGN_WEIGHT |
NUMBER |
Weight of design |
|
IS_LENGTH_ENABLED |
BOOLEAN |
Is length selected |
|
LENGTH_WEIGHT |
NUMBER |
Weight of length |
|
IS_LOCAL_FORMATTING_ENABLED |
BOOLEAN |
Is local formatting selected |
|
LOCAL_FORMATTING_WEIGHT |
NUMBER |
Weight of local formatting |
|
IS_MARKUP_ENABLED |
BOOLEAN |
Is markup selected |
|
MARKUP_WEIGHT |
NUMBER |
Weight of markup |
|
IS_MISSING_TEXT_ENABLED |
BOOLEAN |
Is missing text selected |
|
MISSING_TEXT_WEIGHT |
NUMBER |
Weight of missing text |
|
IS_TRUNCATION_ENABLED |
BOOLEAN |
Is truncation selected |
|
TRUNCATION_WEIGHT |
NUMBER |
Weight of truncation |
|
IS_CHARACTER_ENCODING_ENABLED |
BOOLEAN |
Is character encoding selected |
|
CHARACTER_ENCODING_WEIGHT |
NUMBER |
Weight of character encoding |
|
IS_CROSS_REFERENCE_ENABLED |
BOOLEAN |
Is cross reference selected |
|
CROSS_REFERENCE_WEIGHT |
NUMBER |
Weight of cross reference |
|
IS_FLUENCY_ENABLED |
BOOLEAN |
Is fluency selected |
|
FLUENCY_WEIGHT |
NUMBER |
Weight of fluency |
|
IS_GRAMMAR_ENABLED |
BOOLEAN |
Is grammar selected |
|
GRAMMAR_WEIGHT |
NUMBER |
Weight of grammar |
|
IS_GRAMMATICAL_REGISTER_ENABLED |
BOOLEAN |
Is grammatical register selected |
|
GRAMMATICAL_REGISTER_WEIGHT |
NUMBER |
Weight of grammatical register |
|
IS_INCONSISTENCY_ENABLED |
BOOLEAN |
Is inconsistency selected |
|
INCONSISTENCY_WEIGHT |
NUMBER |
Weight of inconsistency |
|
IS_PUNCTUATION_ENABLED |
BOOLEAN |
Is punctuation selected |
|
PUNCTUATION_WEIGHT |
NUMBER |
Weight of punctuation |
|
IS_SPELLING_ENABLED |
BOOLEAN |
Is spelling selected |
|
SPELLING_WEIGHT |
NUMBER |
Weight of spelling |
|
IS_LOCALE_CONVENTION_ENABLED |
BOOLEAN |
Is locale convention selected |
|
LOCALE_CONVENTION_WEIGHT |
NUMBER |
Weight of locale convention |
|
IS_ADDRESS_FORMAT_ENABLED |
BOOLEAN |
Is address format selected |
|
ADDRESS_FORMAT_WEIGHT |
NUMBER |
Weight of address format |
|
IS_CURRENCY_FORMAT_ENABLED |
BOOLEAN |
Is currency format selected |
|
CURRENCY_FORMAT_WEIGHT |
NUMBER |
Weight of currency format |
|
IS_DATE_FORMAT_ENABLED |
BOOLEAN |
Is date format selected |
|
DATE_FORMAT_WEIGHT |
NUMBER |
Weight of date format |
|
IS_MEASUREMENT_FORMAT_ENABLED |
BOOLEAN |
Is measurement format selected |
|
MEASUREMENT_FORMAT_WEIGHT |
NUMBER |
Weight of measurement format |
|
IS_SHORTCUT_KEY_ENABLED |
BOOLEAN |
Is shortcut key selected |
|
SHORTCUT_KEY_WEIGHT |
NUMBER |
Weight of shortcut key |
|
IS_TELEPHONE_FORMAT_ENABLED |
BOOLEAN |
Is telephone format selected |
|
TELEPHONE_FORMAT_WEIGHT |
NUMBER |
Weight of telephone format |
|
IS_OTHER_ENABLED |
BOOLEAN |
Is other selected |
|
OTHER_WEIGHT |
NUMBER |
Weight of other |
|
IS_AWKWARD_ENABLED |
BOOLEAN |
Is awkward selected |
|
AWKWARD_WEIGHT |
NUMBER |
Weight of awkward |
|
IS_COMPANY_STYLE_ENABLED |
BOOLEAN |
Is company style selected |
|
COMPANY_STYLE_WEIGHT |
NUMBER |
Weight of company style |
|
IS_INCONSISTENT_STYLE_ENABLED |
BOOLEAN |
Is inconsistent style selected |
|
INCONSISTENT_STYLE_WEIGHT |
NUMBER |
Weight of inconsistent style |
|
IS_STYLE_ENABLED |
BOOLEAN |
Is style selected |
|
STYLE_WEIGHT |
NUMBER |
Weight of style |
|
IS_THIRD_PARTY_STYLE_ENABLED |
BOOLEAN |
Is third party style selected |
|
THIRD_PARTY_STYLE_WEIGHT |
NUMBER |
Weight of third party style |
|
IS_UNIDIOMATIC_ENABLED |
BOOLEAN |
Is unidiomatic selected |
|
UNIDIOMATIC_WEIGHT |
NUMBER |
Weight of unidiomatic |
|
IS_INCONSISTENT_USE_OF_TERMINOLOGY_ENABLED |
BOOLEAN |
Is inconsistent use of terminology selected |
|
INCONSISTENT_USE_OF_TERMINOLOGY_WEIGHT |
NUMBER |
Weight of inconsistent use of terminology |
|
IS_INCONSISTENT_WITH_TB_ENABLED |
BOOLEAN |
Is inconsistent with term base selected |
|
INCONSISTENT_WITH_TB_WEIGHT |
NUMBER |
Weight of inconsistent with term base |
|
IS_TERMINOLOGY_ENABLED |
BOOLEAN |
Is terminology selected |
|
TERMINOLOGY_WEIGHT |
NUMBER |
Weight of terminology |
|
IS_CULTURE_SPECIFIC_REFERENCE_ENABLED |
BOOLEAN |
Is culture specific reference selected |
|
CULTURE_SPECIFIC_REFERENCE_WEIGHT |
NUMBER |
Weight of culture specific reference |
|
IS_VERITY_ENABLED |
BOOLEAN |
Is verity selected |
|
VERITY_WEIGHT |
NUMBER |
Weight of verity |
|
PASS_FAIL_THRESHOLD |
NUMBER |
Pass fail threshold |
|
NEUTRAL_VALUE |
NUMBER |
Neutral value |
|
MINOR_VALUE |
NUMBER |
Minor value |
|
MAJOR_VALUE |
NUMBER |
Major value |
|
CRITICAL_VALUE |
NUMBER |
Critical value |
job_id, job_uid, workflow_step_level, and job_part_inner_id fields enable reliable joins between LQA data and job-related tables.
-
Project buyer/project vendor
They have access to all workflow steps, so
job_part_v2contains one record per workflow step. To avoid duplicated assessment results, joins must includeworkflow_step_level. -
Job provider
They typically see a single record in
job_part_v2. Do not useworkflow_step_levelwhen joining assessments, as the LQA may have been created on a different workflow step and the join would fail.Exceptions
-
If acting as a provider on multiple workflow steps (e.g. translation and review), multiple records may exist. In this case, select the correct job part or use
workflow_step_levelif the applicable one is known. -
If a job is split unevenly across workflow steps, the
job_part_inner_idmay differ between steps, and joins may not work. Handling this depends on the specific setup.
-
|
Column Name |
Column Type |
Column Description |
|---|---|---|
|
ORGANIZATION_ID |
NUMBER |
Organization ID |
|
ASSESSMENT_ID |
NUMBER |
Assessment ID |
|
JOB_PART_ID |
NUMBER |
Job part ID |
|
JOB_PART_UID |
VARCHAR |
Unique alphanumeric that identifies the workflow step |
|
SCORE |
NUMBER |
LQA Score |
|
CATEGORY |
TEXT |
Category of the issue |
|
CATEGORY_COUNT |
NUMBER |
Number of issues for the category |
|
SUBCATEGORY |
TEXT |
Subcategory of the issue |
|
SUBCATEGORY_COUNT |
NUMBER |
Number of issues for the subcategory |
|
SEVERITY |
TEXT |
Severity of the issue |
|
SEVERITY_COUNT |
NUMBER |
Number of issues for the severity |
|
TRANSLATION_PROVIDER_TYPE |
TEXT |
Defines the type of the provider - user or vendor organization |
|
TRANSLATION_PROVIDER_ID |
NUMBER |
ID of the translation provider |
|
TRANSLATION_PROVIDER |
TEXT |
Translation provider |
|
REVIEW_PROVIDER_TYPE |
TEXT |
Defines the type of the provider - user or vendor organization |
|
REVIEW_PROVIDER_ID |
NUMBER |
ID of the review provider |
|
REVIEW_PROVIDER |
TEXT |
Review provider |
|
DATE_ASSESSMENT_STARTED |
TIMESTAMP_LTZ |
Assessment start date |
|
DATE_ASSESSMENT_FINISHED |
TIMESTAMP_LTZ |
Assessment finish date |
|
PASS_FAIL_THRESHOLD |
NUMBER |
Threshold value |
|
ORIGIN |
VARCHAR |
|
|
MODE |
VARCHAR |
|
|
OVERALL_FEEDBACK |
VARCHAR |
Shows comments added by linguists who review the LQA assessment |
|
IS_REPEATED |
BOOLEAN |
Shows true if the issue is marked as a repeated issue, otherwise it returns false |
|
PROJECT_OWNER_ID |
NUMBER |
ID of the user who owns the project |
|
PROJECT_OWNER_USERNAME |
VARCHAR |
Username of the user who owns the project |
|
JOB_ID |
NUMBER |
A unique number that identifies the job |
|
JOB_UID |
VARCHAR |
A unique alphanumeric that identifies the job |
|
WORKFLOW_STEP_LEVEL |
NUMBER |
A numerical value indicating the order sequence of the workflow step of the job |
|
JOB_PART_INNER_ID |
NUMBER |
The ID number that is displayed in the TMS UI next to the job row items for each workflow step |
|
Column Name |
Column Type |
Column Description |
|---|---|---|
|
ORGANIZATION_ID |
NUMBER |
Organization ID |
|
MACHINE_TRANSLATE_SETTING_ID |
NUMBER |
Machine translation setting ID |
|
DATE_DELETED |
TIMESTAMP_LTZ |
Date/time when MT setting was created |
|
IS_DEFAULT |
BOOLEAN |
True/false if the MT engine is the default one |
|
IS_DELETED |
BOOLEAN |
True/false deleted |
|
DELETED_BY__USER_ID |
NUMBER |
ID of the user who deleted the setting |
|
MACHINE_TRANSLATE_SETTING_NAME |
TEXT |
Name provided by the user |
|
MACHINE_TRANSLATE_SETTING_TYPE |
TEXT |
Type of the MT engine |
|
MT_PROFILE_MACHINE_TRANSLATE_SETTING_ID |
Machine translation setting ID of the MT profile |
|
Column Name |
Column Type |
Column Description |
|---|---|---|
|
ORGANIZATION_ID |
NUMBER |
Organization ID |
|
PROJECT_ID |
NUMBER |
Project ID |
|
CUSTOM_FIELD_NAME |
TEXT |
The name of the custom field |
|
CUSTOM_FIELD_TYPE |
TEXT |
The format of the custom field, which can be text, number, date, single-select, multiple-select or URL |
|
CUSTOM_FIELD_DESCRIPTION |
TEXT |
A contextual description of the custom field |
|
IS_CUSTOM_FIELD_REQUIRED |
BOOLEAN |
A toggle indicating whether the custom field is required to be filled in or not |
|
CUSTOM_FIELD_VALUES |
VARIANT |
The list of values that are added for the single-select or multiple-select custom field type |
|
DATE_CREATED |
TIMESTAMP_LTZ |
Date/time when the custom field was created |
|
DATE_UPDATED |
TIMESTAMP_LTZ |
Date/time when the custom field was updated |
|
Column Name |
Column Type |
Column Description |
|---|---|---|
|
ORGANIZATION_ID |
NUMBER |
Organization ID |
|
PROJECT_STATUS_CHANGE_ID |
NUMBER |
Project status change ID |
|
CREATED_BY__USER_ID |
NUMBER |
ID of the user who changed the status |
|
DATE_CREATED |
TIMESTAMP_LTZ |
Date/time when status change was created |
|
PROJECT_ID |
NUMBER |
Project ID |
|
PROJECT_STATUS |
TEXT |
Project status |
|
Column Name |
Column Type |
Column Description |
|---|---|---|
|
ORGANIZATION_ID |
NUMBER |
Organization ID |
|
PROJECT_ID |
NUMBER |
Project ID |
|
PROJECT_UID |
TEXT |
Project unique ID |
|
PROJECT_INNER_ID |
NUMBER |
ID of the project in the UI |
|
IS_ARCHIVED |
BOOLEAN |
True/false archived |
|
ARCHIVED_BY__USER_ID |
NUMBER |
ID of the user who archived the project |
|
BUSINESS_UNIT_NAME |
TEXT |
Business unit |
|
BUYER_ID |
NUMBER |
Buyer ID |
|
TEMPLATE_ID |
NUMBER |
Template ID |
|
TEMPLATE_NAME |
TEXT |
The name of the template used for the project |
|
CLIENT_NAME |
TEXT |
Client |
|
COST_CENTER_NAME |
TEXT |
Cost center |
|
CREATED_BY__USER_ID |
NUMBER |
ID of the user who created the project |
|
DATE_ARCHIVED |
TIMESTAMP_LTZ |
Date/time when project was archived |
|
DATE_CREATED |
TIMESTAMP_LTZ |
Date/time when project was created |
|
DATE_DELETED |
TIMESTAMP_LTZ |
Date/time when project was deleted |
|
DATE_DUE |
TIMESTAMP_LTZ |
Project due date |
|
IS_DELETED |
BOOLEAN |
True/false deleted |
|
DELETED_BY__USER_ID |
NUMBER |
ID of the user who deleted project |
|
DOMAIN_NAME |
TEXT |
Domain |
|
PROJECT_NAME |
TEXT |
Project name |
|
NOTE |
TEXT |
Note |
|
OWNER__USER_ID |
NUMBER |
ID of the user who owns the project |
|
PURCHASE_ORDER |
TEXT |
Purchase order code |
|
SHARING_TYPE |
TEXT |
Sharing type (job or project) |
|
SOURCE_LOCALE |
TEXT |
Source language/locale |
|
SUB_DOMAIN_NAME |
TEXT |
Subdomain |
|
PROJECT_STATUS |
TEXT |
Project status |
|
VENDOR_ID |
NUMBER |
ID of the vendor |
|
PROJECT_CLASS_TYPE |
TEXT |
Type of the project |
|
CUSTOM_METADATA |
ARRAY |
An array with the details of all the custom metadata fields, added to the project |
|
Column Name |
Column Type |
Column Description |
|---|---|---|
|
ORGANIZATION_ID |
NUMBER |
Organization ID |
|
QUOTE_ADDITIONAL_JOB_ID |
TEXT |
Quote additional job ID |
|
QUOTE_ADDITIONAL_JOB_UID |
TEXT |
Quote additional job UID |
|
ADDITIONAL_WORKFLOW_STEP_NAME |
TEXT |
Workflow step name |
|
QUOTE_ID |
NUMBER |
Quote ID |
|
QUOTE_UID |
TEXT |
Quote UID |
|
QUOTE_NAME |
TEXT |
Quote name |
|
QUOTE_TYPE |
TEXT |
Quote type |
|
QUOTE_STATUS |
TEXT |
Quote status |
|
ANALYSIS_ID |
NUMBER |
Analysis ID |
|
PROJECT_ID |
NUMBER |
Project ID |
|
DATE_OUTDATED |
TIMESTAMP_LTZ |
Date when the quote became outdated |
|
DATE_CREATED |
TIMESTAMP_LTZ |
Date when quote was created |
|
CREATED_BY__USER_ID |
NUMBER |
User ID of the creator of the quote |
|
CREATED_BY_USERNAME |
TEXT |
Username of the creator of the quote |
|
CREATED_BY_NAME |
TEXT |
Name of the creator of the quote |
|
SOURCE_LOCALE |
TEXT |
Source locale |
|
TARGET_LOCALE |
TEXT |
Target locale |
|
BILLING_UNIT |
TEXT |
Billing unit |
|
CURRENCY |
TEXT |
Currency code |
|
PRICE_LIST_UID |
TEXT |
Price list UID |
|
PRICE_LIST_NAME |
TEXT |
Price list name |
|
NET_RATE_SCHEME_ID |
NUMBER |
Net rate scheme ID |
|
NET_RATE_SCHEME_NAME |
TEXT |
Net rate scheme name |
|
MINIMUM_PRICE |
NUMBER |
Minimum price |
|
HOURS |
NUMBER |
Number of hours quoted |
|
PRICE |
NUMBER |
Price |
|
TOTAL |
NUMBER |
Total price |
|
IS_DELETED |
BOOLEAN |
True/false deleted |
|
DATE_DELETED |
TIMESTAMP_LTZ |
Date when the quote was deleted |
|
DELETED_BY__USER_ID |
NUMBER |
User ID of the user who deleted the quote |
|
DELETED_BY_USERNAME |
TEXT |
Username of the user who deleted the quote |
|
DELETED_BY_NAME |
TEXT |
Name of the user who deleted the quote |
|
Column Name |
Column Type |
Column Description |
|---|---|---|
|
ORGANIZATION_ID |
NUMBER |
Organization ID |
|
QUOTE_HOURLY_ID |
NUMBER |
Hourly quote ID |
|
QUOTE_HOURLY_UID |
TEXT |
Hourly quote UID |
|
QUOTE_ID |
NUMBER |
Quote ID |
|
ANALYSIS_ID |
NUMBER |
Analysis ID |
|
PROJECT_ID |
NUMBER |
Project ID |
|
DATE_CREATED |
TIMESTAMP_LTZ |
Date when quote was created |
|
CREATED_BY__USER_ID |
NUMBER |
User ID of the creator of the quote |
|
CREATED_BY_USERNAME |
TEXT |
Username of the creator of the quote |
|
CREATED_BY_NAME |
TEXT |
Name of the creator of the quote |
|
QUOTE_UID |
TEXT |
Quote UID |
|
QUOTE_NAME |
TEXT |
Quote name |
|
QUOTE_TYPE |
TEXT |
Quote type |
|
QUOTE_STATUS |
TEXT |
Quote status |
|
WORKFLOW_STEP_ID |
NUMBER |
Workflow step ID |
|
WORKFLOW_STEP_NAME |
TEXT |
Workflow step name |
|
SOURCE_LOCALE |
TEXT |
Source locale |
|
TARGET_LOCALE |
TEXT |
Target locale |
|
BILLING_UNIT |
TEXT |
Billing unit |
|
CURRENCY |
TEXT |
Currency code |
|
PRICE_LIST_UID |
TEXT |
Price list UID |
|
PRICE_LIST_NAME |
TEXT |
Price list name |
|
MINIMUM_PRICE |
NUMBER |
Minimum price |
|
HOURS |
NUMBER |
Number of hours quoted |
|
PRICE |
NUMBER |
Price |
|
TOTAL |
NUMBER |
Total price |
|
IS_DELETED |
BOOLEAN |
True/false deleted |
|
DATE_DELETED |
TIMESTAMP_LTZ |
Date when the quote was deleted |
|
DELETED_BY__USER_ID |
NUMBER |
User ID of the user who deleted the quote |
|
DELETED_BY_USERNAME |
TEXT |
Username of the user who deleted the quote |
|
DELETED_BY_NAME |
TEXT |
Name of the user who deleted the quote |
|
Column Name |
Column Type |
Column Description |
|---|---|---|
|
ORGANIZATION_ID |
NUMBER |
Organization ID |
|
QUOTE_JOB_PART_ID |
NUMBER |
Quote job part ID |
|
QUOTE_JOB_PART_UID |
TEXT |
Quote job part UID |
|
QUOTE_ID |
NUMBER |
Quote ID |
|
QUOTE_UID |
TEXT |
Quote UID |
|
QUOTE_NAME |
TEXT |
Quote name |
|
QUOTE_TYPE |
TEXT |
Quote type |
|
QUOTE_STATUS |
TEXT |
Quote status |
|
DATE_CREATED |
TIMESTAMP_LTZ |
Date when quote was created |
|
CREATED_BY__USER_ID |
NUMBER |
User ID of the creator of the quote |
|
CREATED_BY_USERNAME |
TEXT |
Username of the creator of the quote |
|
CREATED_BY_NAME |
TEXT |
Name of the creator of the quote |
|
ANALYSIS_ID |
NUMBER |
Analysis ID |
|
PROJECT_ID |
NUMBER |
Project ID |
|
JOB_ID |
NUMBER |
Job ID |
|
JOB_PART_ID |
NUMBER |
Job part ID |
|
WORKFLOW_STEP_ID |
NUMBER |
Workflow step ID |
|
WORKFLOW_STEP_NAME |
TEXT |
Workflow step name |
|
SOURCE_LOCALE |
TEXT |
Source locale |
|
TARGET_LOCALE |
TEXT |
Target locale |
|
BILLING_UNIT |
TEXT |
Billing unit |
|
CURRENCY |
TEXT |
Currency code |
|
NET_RATE_SCHEME_ID |
NUMBER |
Net rate scheme ID |
|
NET_RATE_SCHEME_NAME |
TEXT |
Net rate scheme name |
|
PRICE_LIST_UID |
TEXT |
Price list UID |
|
PRICE_LIST_NAME |
TEXT |
Price list name |
|
MINIMUM_PRICE |
NUMBER |
Minimum price |
|
NET_PRICE |
NUMBER |
Net price |
|
NET_PRICE_DETAIL_MT_MATCH0_PRICE |
NUMBER |
Net price for MT0 matches |
|
NET_PRICE_DETAIL_MT_MATCH0_UNIT_PRICE |
NUMBER |
Net unit price for MT0 matches |
|
NET_PRICE_DETAIL_MT_MATCH50_PRICE |
NUMBER |
Net price for MT50 matches |
|
NET_PRICE_DETAIL_MT_MATCH50_UNIT_PRICE |
NUMBER |
Net unit price for MT50 matches |
|
NET_PRICE_DETAIL_MT_MATCH75_PRICE |
NUMBER |
Net price for MT75 matches |
|
NET_PRICE_DETAIL_MT_MATCH75_UNIT_PRICE |
NUMBER |
Net unit price for MT75 matches |
|
NET_PRICE_DETAIL_MT_MATCH85_PRICE |
NUMBER |
Net price for MT85 matches |
|
NET_PRICE_DETAIL_MT_MATCH85_UNIT_PRICE |
NUMBER |
Net unit price for MT85 matches |
|
NET_PRICE_DETAIL_MT_MATCH95_PRICE |
NUMBER |
Net price for MT95 matches |
|
NET_PRICE_DETAIL_MT_MATCH95_UNIT_PRICE |
NUMBER |
Net unit price for MT95 matches |
|
NET_PRICE_DETAIL_MT_MATCH100_PRICE |
NUMBER |
Net price for MT100 matches |
|
NET_PRICE_DETAIL_MT_MATCH100_UNIT_PRICE |
NUMBER |
Net unit price for MT100 matches |
|
NET_PRICE_DETAIL_MT_MATCH101_PRICE |
NUMBER |
Net price for MT101 matches |
|
NET_PRICE_DETAIL_MT_MATCH101_UNIT_PRICE |
NUMBER |
Net unit price for MT101 matches |
|
NET_PRICE_DETAIL_NT_MATCH0_PRICE |
NUMBER |
Net price for NT0 matches |
|
NET_PRICE_DETAIL_NT_MATCH0_UNIT_PRICE |
NUMBER |
Net unit price for NT0 matches |
|
NET_PRICE_DETAIL_NT_MATCH50_PRICE |
NUMBER |
Net price for NT50 matches |
|
NET_PRICE_DETAIL_NT_MATCH50_UNIT_PRICE |
NUMBER |
Net unit price for NT50 matches |
|
NET_PRICE_DETAIL_NT_MATCH75_PRICE |
NUMBER |
Net price for NT75 matches |
|
NET_PRICE_DETAIL_NT_MATCH75_UNIT_PRICE |
NUMBER |
Net unit price for NT75 matches |
|
NET_PRICE_DETAIL_NT_MATCH85_PRICE |
NUMBER |
Net price for NT85 matches |
|
NET_PRICE_DETAIL_NT_MATCH85_UNIT_PRICE |
NUMBER |
Net unit price for NT85 matches |
|
NET_PRICE_DETAIL_NT_MATCH95_PRICE |
NUMBER |
Net price for NT95 matches |
|
NET_PRICE_DETAIL_NT_MATCH95_UNIT_PRICE |
NUMBER |
Net unit price for NT95 matches |
|
NET_PRICE_DETAIL_NT_MATCH100_PRICE |
NUMBER |
Net price for NT100 matches |
|
NET_PRICE_DETAIL_NT_MATCH100_UNIT_PRICE |
NUMBER |
Net unit price for NT100 matches |
|
NET_PRICE_DETAIL_TM_MATCH0_PRICE |
NUMBER |
Net price for TM0 matches |
|
NET_PRICE_DETAIL_TM_MATCH0_UNIT_PRICE |
NUMBER |
Net unit price for TM0 matches |
|
NET_PRICE_DETAIL_TM_MATCH50_PRICE |
NUMBER |
Net price for TM50 matches |
|
NET_PRICE_DETAIL_TM_MATCH50_UNIT_PRICE |
NUMBER |
Net unit price for TM50 matches |
|
NET_PRICE_DETAIL_TM_MATCH75_PRICE |
NUMBER |
Net price for TM75 matches |
|
NET_PRICE_DETAIL_TM_MATCH75_UNIT_PRICE |
NUMBER |
Net unit price for TM75 matches |
|
NET_PRICE_DETAIL_TM_MATCH85_PRICE |
NUMBER |
Net price for TM85 matches |
|
NET_PRICE_DETAIL_TM_MATCH85_UNIT_PRICE |
NUMBER |
Net unit price for TM85 matches |
|
NET_PRICE_DETAIL_TM_MATCH95_PRICE |
NUMBER |
Net price for TM95 matches |
|
NET_PRICE_DETAIL_TM_MATCH95_UNIT_PRICE |
NUMBER |
Net unit price for TM95 matches |
|
NET_PRICE_DETAIL_TM_MATCH100_PRICE |
NUMBER |
Net price for TM100 matches |
|
NET_PRICE_DETAIL_TM_MATCH100_UNIT_PRICE |
NUMBER |
Net unit price for TM100 matches |
|
NET_PRICE_DETAIL_TM_MATCH101_PRICE |
NUMBER |
Net price for TM101 matches |
|
NET_PRICE_DETAIL_TM_MATCH101_UNIT_PRICE |
NUMBER |
Net unit price for TM101 matches |
|
NET_PRICE_DETAIL_REPETITIONS_PRICE |
NUMBER |
Net price for repetitions |
|
NET_PRICE_DETAIL_REPETITIONS_UNIT_PRICE |
NUMBER |
Net unit price for repetitions |
|
NET_PRICE_DETAIL_TOTAL_PRICE |
NUMBER |
Net total price |
|
NET_PRICE_DETAIL_TOTAL_UNIT_PRICE |
NUMBER |
Net total unit price |
|
PRICE |
NUMBER |
Price |
|
PRICE_DETAIL_MT_MATCH0_PRICE |
NUMBER |
Price for MT0 matches |
|
PRICE_DETAIL_MT_MATCH0_UNIT_PRICE |
NUMBER |
Unit price for MT0 matches |
|
PRICE_DETAIL_MT_MATCH50_PRICE |
NUMBER |
Price for MT50 matches |
|
PRICE_DETAIL_MT_MATCH50_UNIT_PRICE |
NUMBER |
Unit price for MT50 matches |
|
PRICE_DETAIL_MT_MATCH75_PRICE |
NUMBER |
Price for MT75 matches |
|
PRICE_DETAIL_MT_MATCH75_UNIT_PRICE |
NUMBER |
Unit price for MT75 matches |
|
PRICE_DETAIL_MT_MATCH85_PRICE |
NUMBER |
Price for MT85 matches |
|
PRICE_DETAIL_MT_MATCH85_UNIT_PRICE |
NUMBER |
Unit price for MT85 matches |
|
PRICE_DETAIL_MT_MATCH95_PRICE |
NUMBER |
Price for MT95 matches |
|
PRICE_DETAIL_MT_MATCH95_UNIT_PRICE |
NUMBER |
Unit price for MT95 matches |
|
PRICE_DETAIL_MT_MATCH100_PRICE |
NUMBER |
Price for MT100 matches |
|
PRICE_DETAIL_MT_MATCH100_UNIT_PRICE |
NUMBER |
Unit price for MT100 matches |
|
PRICE_DETAIL_MT_MATCH101_PRICE |
NUMBER |
Price for MT101 matches |
|
PRICE_DETAIL_MT_MATCH101_UNIT_PRICE |
NUMBER |
Unit price for MT101 matches |
|
PRICE_DETAIL_NT_MATCH0_PRICE |
NUMBER |
Price for NT0 matches |
|
PRICE_DETAIL_NT_MATCH0_UNIT_PRICE |
NUMBER |
Unit price for NT0 matches |
|
PRICE_DETAIL_NT_MATCH50_PRICE |
NUMBER |
Price for NT50 matches |
|
PRICE_DETAIL_NT_MATCH50_UNIT_PRICE |
NUMBER |
Unit price for NT50 matches |
|
PRICE_DETAIL_NT_MATCH75_PRICE |
NUMBER |
Price for NT75 matches |
|
PRICE_DETAIL_NT_MATCH75_UNIT_PRICE |
NUMBER |
Unit price for NT75 matches |
|
PRICE_DETAIL_NT_MATCH85_PRICE |
NUMBER |
Price for NT85 matches |
|
PRICE_DETAIL_NT_MATCH85_UNIT_PRICE |
NUMBER |
Unit price for NT85 matches |
|
PRICE_DETAIL_NT_MATCH95_PRICE |
NUMBER |
Price for NT95 matches |
|
PRICE_DETAIL_NT_MATCH95_UNIT_PRICE |
NUMBER |
Unit price for NT95 matches |
|
PRICE_DETAIL_NT_MATCH100_PRICE |
NUMBER |
Price for NT100 matches |
|
PRICE_DETAIL_NT_MATCH100_UNIT_PRICE |
NUMBER |
Unit price for NT100 matches |
|
PRICE_DETAIL_TM_MATCH0_PRICE |
NUMBER |
Price for TM0 matches |
|
PRICE_DETAIL_TM_MATCH0_UNIT_PRICE |
NUMBER |
Unit price for TM0 matches |
|
PRICE_DETAIL_TM_MATCH50_PRICE |
NUMBER |
Price for TM50 matches |
|
PRICE_DETAIL_TM_MATCH50_UNIT_PRICE |
NUMBER |
Unit price for TM50 matches |
|
PRICE_DETAIL_TM_MATCH75_PRICE |
NUMBER |
Price for TM75 matches |
|
PRICE_DETAIL_TM_MATCH75_UNIT_PRICE |
NUMBER |
Unit price for TM75 matches |
|
PRICE_DETAIL_TM_MATCH85_PRICE |
NUMBER |
Price for TM85 matches |
|
PRICE_DETAIL_TM_MATCH85_UNIT_PRICE |
NUMBER |
Unit price for TM85 matches |
|
PRICE_DETAIL_TM_MATCH95_PRICE |
NUMBER |
Price for TM95 matches |
|
PRICE_DETAIL_TM_MATCH95_UNIT_PRICE |
NUMBER |
Unit price for TM95 matches |
|
PRICE_DETAIL_TM_MATCH100_PRICE |
NUMBER |
Price for TM100 matches |
|
PRICE_DETAIL_TM_MATCH100_UNIT_PRICE |
NUMBER |
Unit price for TM100 matches |
|
PRICE_DETAIL_TM_MATCH101_PRICE |
NUMBER |
Price for TM101 matches |
|
PRICE_DETAIL_TM_MATCH101_UNIT_PRICE |
NUMBER |
Unit price for TM101 matches |
|
PRICE_DETAIL_REPETITIONS_PRICE |
NUMBER |
Price for repetitions |
|
PRICE_DETAIL_REPETITIONS_UNIT_PRICE |
NUMBER |
Unit price for repetitions |
|
PRICE_DETAIL_TOTAL_PRICE |
NUMBER |
Total price |
|
PRICE_DETAIL_TOTAL_UNIT_PRICE |
NUMBER |
Total unit price |
|
IS_DELETED |
BOOLEAN |
True/false deleted |
|
DATE_DELETED |
TIMESTAMP_LTZ |
Date when the quote was deleted |
|
DELETED_BY__USER_ID |
NUMBER |
User ID of the user who deleted the quote |
|
DELETED_BY_USERNAME |
TEXT |
Username of the user who deleted the quote |
|
DELETED_BY_NAME |
TEXT |
Name of the user who deleted the quote |
Available with Phrase Data Premium
The segment_statistic_v2 table provides information where the translation is coming from, and its quality score generated at segment-level. It also indicates locked and confirmed segments along with their word/character count and editing time, if any. The insights from this table help to drive and increase automation in your translation processes.
For more detailed context, the table can be linked;
-
to the
machine_translate_setting_v2table, with themachine_translate_setting_idto include data on the MT engine -
to the
job_part_v2table, with thejob_part_idto include data such as workflow step status and workflow step level. -
to the
job_v2table, with thejob_idto include data such as file names and languages. -
and further to the
project_v2table to include data such domain, subdomain, business unit and other metadata. -
And other tables such as
job_part_statistic_v2andvendor_v2tables.
All this data leads users to take the data-backed actions, such as to;
-
Optimize their workflows, weighing the value of each workflow step in terms of improved quality vs cost
-
Utilize the MT engines that return higher scores, whilst balancing the ratio of quality vs MTU cost.
-
Validate the most effective translation memories.
-
Maximize no-touch segments for auto-confirmation and minimize linguistic effort by identifying the optimal QPS and TM threshold respectively.
Data is available for the past 12 full months including current month, allowing users to have a full year at any point in time.
|
Column Name |
Column Type |
Column Description |
|---|---|---|
|
SEGMENT_ID |
TEXT |
A unique number that identifies the segment. |
|
JOB_ID |
NUMBER |
A unique number that identifies the job. |
|
JOB_PART_ID |
NUMBER |
A unique number that identifies the workflow step. |
|
JOB_PART_UID |
TEXT |
A unique alphanumeric that identifies the workflow step. |
|
DATE_CREATED |
TIMESTAMP_LTZ |
The date the segment is created. This value is read from MXLIFF. |
|
DATE_MODIFIED |
TIMESTAMP_LTZ |
The date when any field is updated for the segment. This value is read from MXLIFF. |
|
TRANSLATION_ORIGIN |
TEXT |
Indicates whether the translation is coming from TM, MT, or NT. |
|
TRANSLATION_MEMORY_ID |
TEXT |
The ID of the translation memory if the translation is coming from TM. Data available from 20th August 2024 onwards. |
|
MACHINE_TRANSLATE_SETTING_ID |
TEXT |
A unique number that identifies the machine translation engine if the translation is coming from MT, and is provided for confirmed segments only. |
|
QPS |
FLOAT |
The Quality Performance Score (QPS) for machine translations via Phrase Language AI. The QPS of a current version of source:target remains the same if the source and target are unchanged. If a segment is edited, the field is set to null. If pre-translation runs multiple times on the same workflow step, QPS is updated to reflect the most recent result. |
|
SCORE |
FLOAT |
The score of a segment for which the target is chosen from the suggested translation coming from TM/MT/NT. |
|
HIGHEST_CONFIRMED_WORKFLOW_STEP_LEVEL |
NUMBER |
The highest workflow step level where the segment is confirmed. |
|
IS_CONFIRMED |
BOOLEAN |
Indicates if the segment is confirmed or not. |
|
IS_LOCKED |
BOOLEAN |
Indicates if the segment is locked or not. |
|
CONFIRMATION_SOURCE |
TEXT |
Indicates how the segment is confirmed, whether it is from pre-translation rules (TM, MT, NT), (IR) import rules, (UT) update target, or (EX) external, which refers to manual. If NULL, then the segment is not confirmed. |
|
WORKFLOW_STEP_LEVEL |
NUMBER |
A numerical value indicating the order sequence of the workflow step of the job. |
|
CHARS_PROCESSED |
NUMBER |
The number of source characters in a segment. |
|
WORDS_PROCESSED |
NUMBER |
The number of source words in a segment. |
|
EDITING_TIME_MS |
NUMBER |
The time taken to edit a segment, which also includes the thinking time. |
|
THINKING_TIME_MS |
NUMBER |
The time spent thinking about the translation for a segment. |
|
ORGANIZATION_ID |
NUMBER |
|
|
LATEST_EDITING_SOURCE |
VARCHAR |
Identifies which segments were processed by Phrase post-editing AI features or a partner integration service. |
|
LOCKING_SOURCE |
VARCHAR |
Identifies who/what has locked the segment. Possible values:
|
|
LOCKING_SOURCE_DETAIL |
VARCHAR |
Identifies the service for cases when the locked by value is |
|
QUALITY_ESTIMATION_SCORE |
FLOAT |
This is tied to Whenever |
View TMS_CURATED_ANALYSIS_DETAIL_V2 includes data from both default and post-editing analyses, covering raw and net values. It displays information on segments, words, percentages, and editing time. It also indicates whether the analysis was created by your organization or by another organization—for example, in the case of a shared job or project. Additionally, it tracks whether the analysis is the latest one generated by your organization. Includes data for up to 12 calendar months.
|
Column Name |
Column Type |
Column Description |
|---|---|---|
|
ORGANIZATION_ID |
NUMBER |
Organization ID |
|
LANGUAGE_PAIR |
TEXT |
A concatenation of the source and target languages |
|
LOCALE_PAIR |
TEXT |
A concatenation of the source and target locales |
|
WORKFLOW_STEP_LEVEL |
NUMBER |
A numerical value indicating the order sequence of the workflow step of the job |
|
PROJECT_ID |
NUMBER |
A unique number that identifies the project |
|
PROJECT_NAME |
TEXT |
The name of the project |
|
PROJECT_OWNER_ID |
NUMBER |
A unique number that identifies the project owner |
|
CLIENT_NAME |
TEXT |
The client name |
|
DOMAIN_NAME |
TEXT |
The domain name |
|
JOB_STATE |
TEXT |
Indicates if the job is available, deleted, archived, or in the recycle bin |
|
JOB_PROVIDER |
TEXT |
Linguist or vendor assigned to the workflow step |
|
JOB_PROVIDER_FULL_NAME |
TEXT |
The name and surname of the provider |
|
JOB_PROVIDER_UNIQUE_ID |
TEXT |
Unique identifier of a provider which allows to distinguish between providers with the same name |
|
PROJECT_OWNER_USERNAME |
TEXT |
The username of the project owner |
|
WORKFLOW_STEP_NAME |
TEXT |
The workflow step name of the job |
|
BUSINESS_UNIT_NAME |
TEXT |
The business unit name |
|
COST_CENTER_NAME |
TEXT |
The cost center name |
|
SUBDOMAIN_NAME |
TEXT |
The subdomain name |
|
SOURCE_LANGUAGE |
TEXT |
The source language |
|
TARGET_LANGUAGE |
TEXT |
The target language |
|
SOURCE_LOCALE |
TEXT |
The source language locale |
|
TARGET_LOCALE |
TEXT |
The target language locale |
|
PROJECT_OWNER_FULL_NAME |
TEXT |
The name and surname of the project owner |
|
PROJECT_STATUS |
TEXT |
The status of the project |
|
JOB_CREATOR_FULL_NAME |
TEXT |
The name and surname of the job creator |
|
WORKFLOW_STEP_STATUS |
TEXT |
The status of the workflow step |
|
DATE_DUE_PROJECT |
TIMESTAMP_LTZ |
The due date of the project |
|
JOB_CREATOR_USERNAME |
TEXT |
The username of the job creator |
|
JOB_CREATOR_ID |
NUMBER |
A unique number that identifies the job creator |
|
FILE_NAME |
TEXT |
The name of the uploaded file for which a job is created. This field is empty for hourly quotes. |
|
DATE_COMPLETED_WORKFLOW_STEP |
TIMESTAMP_LTZ |
The date the workflow step is marked as completed |
|
DATE_DELIVERED_WORKFLOW_STEP |
TIMESTAMP_LTZ |
The date the workflow step is marked as delivered |
|
DATE_DUE_WORKFLOW_STEP |
TIMESTAMP_LTZ |
The due date set for the workflow step |
|
ANALYSIS_ID |
NUMBER |
A unique number that identifies the analysis |
|
LINGUIST_UNIQUE_ID |
TEXT |
This is a unique number identifying the linguist |
|
VENDOR |
TEXT |
Shows the organization name |
|
VENDOR_UNIQUE_ID |
TEXT |
This is a unique number identifying the vendor |
|
PROJECT_UID |
TEXT |
A unique alphanumeric that identifies the project which is also referenced as part of the URL |
|
JOB_UID |
TEXT |
A unique alphanumeric that identifies the job |
|
SUBMITTER_PORTAL_NAME |
TEXT |
The name of the submitter portal |
|
NET_RATE_SCHEME_NAME |
TEXT |
The name of the net rate scheme used |
|
DATE_CREATED_ANALYSIS |
TIMESTAMP_LTZ |
The date the analysis is created |
|
MACHINE_TRANSLATION_ENGINE |
TEXT |
The name of the machine translation engine |
|
LINGUIST_USERNAME |
TEXT |
The username of the linguist, or "Assigned by (organization name)" if the project is shared |
|
LINGUIST_FULL_NAME |
TEXT |
The name and surname of the linguist |
|
ANALYSIS_INTERNAL_ID |
NUMBER |
The ID number that is displayed in the TMS UI next to the row items for analysis |
|
ANALYSIS_NAME |
TEXT |
The name of the analysis |
|
ANALYSIS_TYPE |
TEXT |
Indicates the type of the analysis - Default or Post-editing. |
|
ANALYSIS_CREATOR_ID |
NUMBER |
A unique number that identifies the analysis creator |
|
ANALYSIS_CREATOR_USERNAME |
TEXT |
The username of the analysis creator |
|
ANALYSIS_CREATOR_FULL_NAME |
TEXT |
The name and surname of the analysis creator |
|
MT_WORDS |
NUMBER |
The total words that have machine translation matches |
|
MT_MATCH_100_WORDS |
NUMBER |
The total words which have 100% machine translation matches |
|
MT_MATCH_95_99_WORDS |
NUMBER |
The total words which have 95-99% machine translation matches |
|
MT_MATCH_85_94_WORDS |
NUMBER |
The total words which have 85-94% machine translation matches |
|
MT_MATCH_75_84_WORDS |
NUMBER |
The total words which have 75-84% machine translation matches |
|
MT_MATCH_50_74_WORDS |
NUMBER |
The total words which have 50-74% machine translation matches |
|
MT_MATCH_0_49_WORDS |
NUMBER |
The total words which have 0-49% machine translation matches |
|
NT_WORDS |
NUMBER |
The total words that have non-translatable matches |
|
NT_MATCH_100_WORDS |
NUMBER |
The total words which have 100% non-translatable matches |
|
NT_MATCH_95_99_WORDS |
NUMBER |
The total words which have 95-99% non-translatable matches |
|
NT_MATCH_85_94_WORDS |
NUMBER |
The total words which have 85-94% non-translatable matches |
|
NT_MATCH_75_84_WORDS |
NUMBER |
The total words which have 75-84% non-translatable matches |
|
NT_MATCH_50_74_WORDS |
NUMBER |
The total words which have 50-74% non-translatable matches |
|
NT_MATCH_0_49_WORDS |
NUMBER |
The total words which have 0-49% non-translatable matches |
|
TM_WORDS |
NUMBER |
The total words that have translation memory matches |
|
TM_MATCH_101_WORDS |
NUMBER |
The total words which have 101% translation memory matches |
|
TM_MATCH_100_WORDS |
NUMBER |
The total words which have 100% translation memory matches |
|
TM_MATCH_95_99_WORDS |
NUMBER |
The total words which have 95-99% translation memory matches |
|
TM_MATCH_85_94_WORDS |
NUMBER |
The total words which have 85-94% translation memory matches |
|
TM_MATCH_75_84_WORDS |
NUMBER |
The total words which have 75-84% translation memory matches |
|
TM_MATCH_50_74_WORDS |
NUMBER |
The total words which have 50-74% translation memory matches |
|
TM_MATCH_0_49_WORDS |
NUMBER |
The total words which have 0-49% translation memory matches |
|
REPETITIONS_WORDS |
NUMBER |
The total words that are repetitions |
|
TOTAL_WORDS |
NUMBER |
The total raw words of the workflow step which is the sum of all the categories (MT, TM, NT, Repetitions) |
|
NET_MT_WORDS |
NUMBER |
The total net words that have machine translation matches, with a net rate scheme applied |
|
NET_MT_MATCH_100_WORDS |
NUMBER |
The total net words which have 100% machine translation matches, with a net rate scheme applied |
|
NET_MT_MATCH_95_99_WORDS |
NUMBER |
The total net words which have 95-99% machine translation matches, with a net rate scheme applied |
|
NET_MT_MATCH_85_94_WORDS |
NUMBER |
The total net words which have 85-94% machine translation matches, with a net rate scheme applied |
|
NET_MT_MATCH_75_84_WORDS |
NUMBER |
The total net words which have 75-84% machine translation matches, with a net rate scheme applied |
|
NET_MT_MATCH_50_74_WORDS |
NUMBER |
The total net words which have 50-74% machine translation matches, with a net rate scheme applied |
|
NET_MT_MATCH_0_49_WORDS |
NUMBER |
The total net words which have 0-49% machine translation matches, with a net rate scheme applied |
|
NET_NT_WORDS |
NUMBER |
The total net words that have non-translatable matches, with a net rate scheme applied |
|
NET_NT_MATCH_100_WORDS |
NUMBER |
The total net words which have 100% non-translatable matches, with a net rate scheme applied |
|
NET_NT_MATCH_95_99_WORDS |
NUMBER |
The total net words which have 95-99% non-translatable matches, with a net rate scheme applied |
|
NET_NT_MATCH_85_94_WORDS |
NUMBER |
The total net words which have 85-94% non-translatable matches, with a net rate scheme applied |
|
NET_NT_MATCH_75_84_WORDS |
NUMBER |
The total net words which have 75-84% non-translatable matches, with a net rate scheme applied |
|
NET_NT_MATCH_50_74_WORDS |
NUMBER |
The total net words which have 50-74% non-translatable matches, with a net rate scheme applied |
|
NET_NT_MATCH_0_49_WORDS |
NUMBER |
The total net words which have 0-49% non-translatable matches, with a net rate scheme applied |
|
NET_TM_WORDS |
NUMBER |
The total net words that have translation memory matches, with a net rate scheme applied |
|
NET_TM_MATCH_101_WORDS |
NUMBER |
The total net words which have 101% translation memory matches, with a net rate scheme applied |
|
NET_TM_MATCH_100_WORDS |
NUMBER |
The total net words which have 100% translation memory matches, with a net rate scheme applied |
|
NET_TM_MATCH_95_99_WORDS |
NUMBER |
The total net words which have 95-99% translation memory matches, with a net rate scheme applied |
|
NET_TM_MATCH_85_94_WORDS |
NUMBER |
The total net words which have 85-94% translation memory matches, with a net rate scheme applied |
|
NET_TM_MATCH_75_84_WORDS |
NUMBER |
The total net words which have 75-84% translation memory matches, with a net rate scheme applied |
|
NET_TM_MATCH_50_74_WORDS |
NUMBER |
The total net words which have 50-74% translation memory matches, with a net rate scheme applied |
|
NET_TM_MATCH_0_49_WORDS |
NUMBER |
The total net words which have 0-49% translation memory matches, with a net rate scheme applied |
|
NET_REPETITIONS_WORDS |
NUMBER |
The total net words that are repetitions, with a net rate scheme applied |
|
NET_TOTAL_WORDS |
NUMBER |
The total net words of the workflow step which is the sum of all the categories (MT, TM, NT, Repetitions), with a net rate scheme applied |
|
MT_SEGMENTS |
NUMBER |
The total segments that have machine translation matches |
|
MT_MATCH_100_SEGMENTS |
NUMBER |
The total segments which have 100% machine translation matches |
|
MT_MATCH_95_99_SEGMENTS |
NUMBER |
The total segments which have 95-99% machine translation matches |
|
MT_MATCH_85_94_SEGMENTS |
NUMBER |
The total segments which have 85-94% machine translation matches |
|
MT_MATCH_75_84_SEGMENTS |
NUMBER |
The total segments which have 75-84% machine translation matches |
|
MT_MATCH_50_74_SEGMENTS |
NUMBER |
The total segments which have 50-74% machine translation matches |
|
MT_MATCH_0_49_SEGMENTS |
NUMBER |
The total segments which have 0-49% machine translation matches |
|
NT_SEGMENTS |
NUMBER |
The total segments that have non-translatable matches |
|
NT_MATCH_100_SEGMENTS |
NUMBER |
The total segments which have 100% non-translatable matches |
|
NT_MATCH_95_99_SEGMENTS |
NUMBER |
The total segments which have 95-99% non-translatable matches |
|
NT_MATCH_85_94_SEGMENTS |
NUMBER |
The total segments which have 85-94% non-translatable matches |
|
NT_MATCH_75_84_SEGMENTS |
NUMBER |
The total segments which have 75-84% non-translatable matches |
|
NT_MATCH_50_74_SEGMENTS |
NUMBER |
The total segments which have 50-74% non-translatable matches |
|
NT_MATCH_0_49_SEGMENTS |
NUMBER |
The total segments which have 0-49% non-translatable matches |
|
TM_SEGMENTS |
NUMBER |
The total segments that have translation memory matches |
|
TM_MATCH_101_SEGMENTS |
NUMBER |
The total segments which have 101% translation memory matches |
|
TM_MATCH_100_SEGMENTS |
NUMBER |
The total segments which have 100% translation memory matches |
|
TM_MATCH_95_99_SEGMENTS |
NUMBER |
The total segments which have 95-99% translation memory matches |
|
TM_MATCH_85_94_SEGMENTS |
NUMBER |
The total segments which have 85-94% translation memory matches |
|
TM_MATCH_75_84_SEGMENTS |
NUMBER |
The total segments which have 75-84% translation memory matches |
|
TM_MATCH_50_74_SEGMENTS |
NUMBER |
The total segments which have 50-74% translation memory matches |
|
TM_MATCH_0_49_SEGMENTS |
NUMBER |
The total segments which have 0-49% translation memory matches |
|
REPETITIONS_SEGMENTS |
NUMBER |
The total segments that are repetitions |
|
TOTAL_SEGMENTS |
NUMBER |
The total raw segments of the workflow step which is the sum of all the categories (MT, TM, NT, Repetitions) |
|
NET_MT_SEGMENTS |
NUMBER |
The total net segments that have machine translation matches, with the net rate scheme applied |
|
NET_MT_MATCH_100_SEGMENTS |
NUMBER |
The total net segments which have 100% machine translation matches, with the net rate scheme applied |
|
NET_MT_MATCH_95_99_SEGMENTS |
NUMBER |
The total net segments which have 95-99% machine translation matches, with the net rate scheme applied |
|
NET_MT_MATCH_85_94_SEGMENTS |
NUMBER |
The total net segments which have 85-94% machine translation matches, with the net rate scheme applied |
|
NET_MT_MATCH_75_84_SEGMENTS |
NUMBER |
The total net segments which have 75-84% machine translation matches, with the net rate scheme applied |
|
NET_MT_MATCH_50_74_SEGMENTS |
NUMBER |
The total net segments which have 50-74% machine translation matches, with the net rate scheme applied |
|
NET_MT_MATCH_0_49_SEGMENTS |
NUMBER |
The total net segments which have 0-49% machine translation matches, with the net rate scheme applied |
|
NET_NT_SEGMENTS |
NUMBER |
The total net segments that have non-translatable matches, with the net rate scheme applied |
|
NET_NT_MATCH_100_SEGMENTS |
NUMBER |
The total net segments which have 100% non-translatable matches, with the net rate scheme applied |
|
NET_NT_MATCH_95_99_SEGMENTS |
NUMBER |
The total net segments which have 95-99% non-translatable matches, with the net rate scheme applied |
|
NET_NT_MATCH_85_94_SEGMENTS |
NUMBER |
The total net segments which have 85-94% non-translatable matches, with the net rate scheme applied |
|
NET_NT_MATCH_75_84_SEGMENTS |
NUMBER |
The total net segments which have 75-84% non-translatable matches, with the net rate scheme applied |
|
NET_NT_MATCH_50_74_SEGMENTS |
NUMBER |
The total net segments which have 50-74% non-translatable matches, with the net rate scheme applied |
|
NET_NT_MATCH_0_49_SEGMENTS |
NUMBER |
The total net segments which have 0-49% non-translatable matches, with the net rate scheme applied |
|
NET_TM_SEGMENTS |
NUMBER |
The total net segments that have translation memory matches, with the net rate scheme applied |
|
NET_TM_MATCH_101_SEGMENTS |
NUMBER |
The total net segments which have 101% translation memory matches, with the net rate scheme applied |
|
NET_TM_MATCH_100_SEGMENTS |
NUMBER |
The total net segments which have 100% translation memory matches, with the net rate scheme applied |
|
NET_TM_MATCH_95_99_SEGMENTS |
NUMBER |
The total net segments which have 95-99% translation memory matches, with the net rate scheme applied |
|
NET_TM_MATCH_85_94_SEGMENTS |
NUMBER |
The total net segments which have 85-94% translation memory matches, with the net rate scheme applied |
|
NET_TM_MATCH_75_84_SEGMENTS |
NUMBER |
The total net segments which have 75-84% translation memory matches, with the net rate scheme applied |
|
NET_TM_MATCH_50_74_SEGMENTS |
NUMBER |
The total net segments which have 50-74% translation memory matches, with the net rate scheme applied |
|
NET_TM_MATCH_0_49_SEGMENTS |
NUMBER |
The total net segments which have 0-49% translation memory matches, with the net rate scheme applied |
|
NET_REPETITIONS_SEGMENTS |
NUMBER |
The total net segments that have repetitions, with the net rate scheme applied |
|
NET_TOTAL_SEGMENTS |
NUMBER |
The total net segments of the workflow step which is the sum of all the categories (MT, TM, NT, Repetitions), with a net rate scheme applied |
|
MT_PERCENTAGE |
NUMBER |
The total % that have machine translation matches |
|
MT_MATCH_100_PERCENTAGE |
NUMBER |
The total % which have 100% machine translation matches |
|
MT_MATCH_95_99_PERCENTAGE |
NUMBER |
The total % which have 95-99% machine translation matches |
|
MT_MATCH_85_94_PERCENTAGE |
NUMBER |
The total % which have 85-94% machine translation matches |
|
MT_MATCH_75_84_PERCENTAGE |
NUMBER |
The total % which have 75-84% machine translation matches |
|
MT_MATCH_50_74_PERCENTAGE |
NUMBER |
The total % which have 50-74% machine translation matches |
|
MT_MATCH_0_49_PERCENTAGE |
NUMBER |
The total % which have 0-49% machine translation matches |
|
NT_PERCENTAGE |
NUMBER |
The total % that have non-translatable matches |
|
NT_MATCH_100_PERCENTAGE |
NUMBER |
The total % which have 100% non-translatable matches |
|
NT_MATCH_95_99_PERCENTAGE |
NUMBER |
The total % which have 95-99% non-translatable matches |
|
NT_MATCH_85_94_PERCENTAGE |
NUMBER |
The total % which have 85-94% non-translatable matches |
|
NT_MATCH_75_84_PERCENTAGE |
NUMBER |
The total % which have 75-84% non-translatable matches |
|
NT_MATCH_50_74_PERCENTAGE |
NUMBER |
The total % which have 50-74% non-translatable matches |
|
NT_MATCH_0_49_PERCENTAGE |
NUMBER |
The total % which have 0-49% non-translatable matches |
|
TM_PERCENTAGE |
NUMBER |
The total % that have translation memory matches |
|
TM_MATCH_101_PERCENTAGE |
NUMBER |
The total % which have 101% translation memory matches |
|
TM_MATCH_100_PERCENTAGE |
NUMBER |
The total % which have 100% translation memory matches |
|
TM_MATCH_95_99_PERCENTAGE |
NUMBER |
The total % which have 95-99% translation memory matches |
|
TM_MATCH_85_94_PERCENTAGE |
NUMBER |
The total % which have 85-94% translation memory matches |
|
TM_MATCH_75_84_PERCENTAGE |
NUMBER |
The total % which have 75-84% translation memory matches |
|
TM_MATCH_50_74_PERCENTAGE |
NUMBER |
The total % which have 50-74% translation memory matches |
|
TM_MATCH_0_49_PERCENTAGE |
NUMBER |
The total % which have 0-49% translation memory matches |
|
REPETITIONS_PERCENTAGE |
NUMBER |
The total % that is repetitions |
|
TOTAL_PERCENTAGE |
NUMBER |
The total % which is the sum of all the categories (MT, TM, NT, Repetitions) |
|
MT_EDITING_TIME_S |
NUMBER |
The total editing time for the sum of all MT categories |
|
MT_MATCH100_EDITING_TIME_S |
NUMBER |
The editing time for 100% machine translation matches |
|
MT_MATCH95_EDITING_TIME_S |
NUMBER |
The editing time for 95-99% machine translation matches |
|
MT_MATCH85_EDITING_TIME_S |
NUMBER |
The editing time for 85-94% machine translation matches |
|
MT_MATCH75_EDITING_TIME_S |
NUMBER |
The editing time for 75-84% machine translation matches |
|
MT_MATCH50_EDITING_TIME_S |
NUMBER |
The editing time for 50-74% machine translation matches |
|
MT_MATCH0_EDITING_TIME_S |
NUMBER |
The editing time for 0-49% machine translation matches |
|
NT_EDITING_TIME_S |
NUMBER |
The total editing time for the sum of all NT categories |
|
NT_MATCH100_EDITING_TIME_S |
NUMBER |
The editing time for 100% non-translatable matches |
|
NT_MATCH95_EDITING_TIME_S |
NUMBER |
The editing time for 95-99% non-translatable matches |
|
NT_MATCH85_EDITING_TIME_S |
NUMBER |
The editing time for 85-94% non-translatable matches |
|
NT_MATCH75_EDITING_TIME_S |
NUMBER |
The editing time for 75-84% non-translatable matches |
|
NT_MATCH50_EDITING_TIME_S |
NUMBER |
The editing time for 50-74% non-translatable matches |
|
NT_MATCH0_EDITING_TIME_S |
NUMBER |
The editing time for 0-49% non-translatable matches |
|
TM_EDITING_TIME_S |
NUMBER |
The total editing time for the sum of all TM categories |
|
TM_MATCH101_EDITING_TIME_S |
NUMBER |
The editing time for 101% translation memory matches |
|
TM_MATCH100_EDITING_TIME_S |
NUMBER |
The editing time for 100% translation memory matches |
|
TM_MATCH95_EDITING_TIME_S |
NUMBER |
The editing time for 95-99% translation memory matches |
|
TM_MATCH85_EDITING_TIME_S |
NUMBER |
The editing time for 85-94% translation memory matches |
|
TM_MATCH75_EDITING_TIME_S |
NUMBER |
The editing time for 75-84% translation memory matches |
|
TM_MATCH50_EDITING_TIME_S |
NUMBER |
The editing time for 50-74% translation memory matches |
|
TM_MATCH0_EDITING_TIME_S |
NUMBER |
The editing time for 0-49% translation memory matches |
|
REPETITIONS_EDITING_TIME_S |
NUMBER |
The total editing time for repetitions |
|
TOTAL_EDITING_TIME_S |
NUMBER |
The total editing time for the sum of all the categories (MT, TM, NT, Repetitions) |
|
IF_WORDS |
NUMBER |
The total words that have internal fuzzy matches |
|
IF_MATCH_100_WORDS |
NUMBER |
The total words which have 100% internal fuzzy matches |
|
IF_MATCH_95_99_WORDS |
NUMBER |
The total words which have 95-99% internal fuzzy matches |
|
IF_MATCH_85_94_WORDS |
NUMBER |
The total words which have 85-94% internal fuzzy matches |
|
IF_MATCH_75_84_WORDS |
NUMBER |
The total words which have 75-84% internal fuzzy matches |
|
IF_MATCH_50_74_WORDS |
NUMBER |
The total words which have 50-74% internal fuzzy matches |
|
IF_MATCH_0_49_WORDS |
NUMBER |
The total words which have 0-49% internal fuzzy matches |
|
IF_SEGMENTS |
NUMBER |
The total segments that have internal fuzzy matches |
|
IF_MATCH_100_SEGMENTS |
NUMBER |
The total segments which have 100% internal fuzzy matches |
|
IF_MATCH_95_99_SEGMENTS |
NUMBER |
The total segments which have 95-99% internal fuzzy matches |
|
IF_MATCH_85_94_SEGMENTS |
NUMBER |
The total segments which have 85-94% internal fuzzy matches |
|
IF_MATCH_75_84_SEGMENTS |
NUMBER |
The total segments which have 75-84% internal fuzzy matches |
|
IF_MATCH_50_74_SEGMENTS |
NUMBER |
The total segments which have 50-74% internal fuzzy matches |
|
IF_MATCH_0_49_SEGMENTS |
NUMBER |
The total segments which have 0-49% internal fuzzy matches |
|
IF_PERCENTAGE |
NUMBER |
The total % that have internal fuzzy matches |
|
IF_MATCH_100_PERCENTAGE |
NUMBER |
The total % which have 100% internal fuzzy matches |
|
IF_MATCH_95_99_PERCENTAGE |
NUMBER |
The total % which have 95-99% internal fuzzy matches |
|
IF_MATCH_85_94_PERCENTAGE |
NUMBER |
The total % which have 85-94% internal fuzzy matches |
|
IF_MATCH_75_84_PERCENTAGE |
NUMBER |
The total % which have 75-84% internal fuzzy matches |
|
IF_MATCH_50_74_PERCENTAGE |
NUMBER |
The total % which have 50-74% internal fuzzy matches |
|
IF_MATCH_0_49_PERCENTAGE |
NUMBER |
The total % which have 0-49% internal fuzzy matches |
|
NET_IF_WORDS |
NUMBER |
The total net words that have internal fuzzy matches, with the net rate scheme applied |
|
NET_IF_MATCH_100_WORDS |
NUMBER |
The total net words which have 100% internal fuzzy matches, with the net rate scheme applied |
|
NET_IF_MATCH_95_99_WORDS |
NUMBER |
The total net words which have 95-99% internal fuzzy matches, with the net rate scheme applied |
|
NET_IF_MATCH_85_94_WORDS |
NUMBER |
The total net words which have 85-94% internal fuzzy matches, with the net rate scheme applied |
|
NET_IF_MATCH_75_84_WORDS |
NUMBER |
The total net words which have 75-84% internal fuzzy matches, with the net rate scheme applied |
|
NET_IF_MATCH_50_74_WORDS |
NUMBER |
The total net words which have 50-74% internal fuzzy matches, with the net rate scheme applied |
|
NET_IF_MATCH_0_49_WORDS |
NUMBER |
The total net words which have 0-49% internal fuzzy matches, with the net rate scheme applied |
|
NET_IF_SEGMENTS |
NUMBER |
The total net segments that have internal fuzzy matches, with the net rate scheme applied |
|
NET_IF_MATCH_100_SEGMENTS |
NUMBER |
The total net segments which have 100% internal fuzzy matches, with the net rate scheme applied |
|
NET_IF_MATCH_95_99_SEGMENTS |
NUMBER |
The total net segments which have 95-99% internal fuzzy matches, with the net rate scheme applied |
|
NET_IF_MATCH_85_94_SEGMENTS |
NUMBER |
The total net segments which have 85-94% internal fuzzy matches, with the net rate scheme applied |
|
NET_IF_MATCH_75_84_SEGMENTS |
NUMBER |
The total net segments which have 75-84% internal fuzzy matches, with the net rate scheme applied |
|
NET_IF_MATCH_50_74_SEGMENTS |
NUMBER |
The total net segments which have 50-74% internal fuzzy matches, with the net rate scheme applied |
|
NET_IF_MATCH_0_49_SEGMENTS |
NUMBER |
The total net segments which have 0-49% internal fuzzy matches, with the net rate scheme applied |
|
IS_LATEST_ANALYSIS |
BOOLEAN |
Indicates whether it is the latest analysis of the job |
|
ANALYSIS_OWNERSHIP |
TEXT |
Shows whether the analysis is created by the organisation or created by another organisation for a shared job or inside a shared project |
|
JOB_INTERNAL_ID |
TEXT |
The number that is displayed in the TMS UI next to the row items for jobs in a project |
|
PROJECT_INTERNAL_ID |
NUMBER |
Contains the unique numerical value that is displayed at the top, just after the |
View TMS_CURATED_JOB_DETAIL_V2 includes data related to jobs, and a new record with a version number is created each time a job source content is updated. Includes data for up to 12 calendar months.
|
Column Name |
Column Type |
Column Description |
|---|---|---|
|
ORGANIZATION_ID |
NUMBER |
Organization ID |
|
DATE_JOB_CREATED |
TIMESTAMP_LTZ |
The date when a job was created (i.e. file uploaded with some processed words) |
|
LANGUAGE_PAIR |
TEXT |
A concatenation of the source and target languages |
|
LOCALE_PAIR |
TEXT |
A concatenation of the source and target locales |
|
WORKFLOW_STEP_LEVEL |
NUMBER |
A numerical value indicating the order sequence of the workflow step of the job |
|
PROJECT_ID |
NUMBER |
A unique number that identifies the project |
|
PROJECT_NAME |
TEXT |
The name of the project |
|
PROJECT_OWNER_ID |
NUMBER |
A unique number that identifies the project owner |
|
CLIENT_NAME |
TEXT |
The client name |
|
DOMAIN_NAME |
TEXT |
The domain name |
|
JOB_STATE |
TEXT |
Indicates if the job is available, deleted, archived, or in the recycle bin |
|
PROVIDER |
TEXT |
Linguist or vendor assigned to the workflow step |
|
UNIQUE_ID |
TEXT |
Unique identifier of a provider which allows to distinguish between providers with the same name |
|
WORDS_PROCESSED |
NUMBER |
The number of source words uploaded and processed. If a job has several workflow steps, it only includes the count of the first workflow step. |
|
PROJECT_OWNER_USERNAME |
TEXT |
The username of the project owner |
|
WORKFLOW_STEP_DUE |
TEXT |
Indicates whether the workflow step is on-time or overdue in delivery. A workflow step is marked as overdue if the due date is lower than the lowest date between the highest date of completion and the highest date of delivery. |
|
WORKFLOW_STEP_NAME |
TEXT |
The workflow step name of the job |
|
WORDS_COMPLETED |
NUMBER |
The number of source words in a segment that is marked as locked, confirmed, or both, either manually in the editor or automatically. |
|
EDITING_TIME_S |
NUMBER |
The time in seconds that the provider spent editing the segments of a job |
|
THINKING_TIME_S |
NUMBER |
This field tracks the time a user clicks within a target segment from the CAT editor pane and stops when the user starts editing that segment. When a user re-enters that same segment, the time continues to add to the previous value. |
|
BUSINESS_UNIT_NAME |
TEXT |
The business unit name |
|
COST_CENTER_NAME |
TEXT |
The cost center name |
|
SUBDOMAIN_NAME |
TEXT |
The subdomain name |
|
PROVIDER_FULL_NAME |
TEXT |
The name and surname of the provider |
|
SOURCE_LANGUAGE |
TEXT |
The source language |
|
TARGET_LANGUAGE |
TEXT |
The target language |
|
SOURCE_LOCALE |
TEXT |
The source language locale |
|
TARGET_LOCALE |
TEXT |
The target language locale |
|
PROJECT_OWNER_FULL_NAME |
TEXT |
The name and surname of the project owner |
|
PROJECT_STATUS |
TEXT |
The status of the project |
|
JOB_CREATOR_FULL_NAME |
TEXT |
The name and surname of the job creator |
|
WORKFLOW_STEP_STATUS |
TEXT |
The status of the workflow step |
|
DATE_DUE_PROJECT |
TIMESTAMP_LTZ |
The due date of the project |
|
JOB_CREATOR_USERNAME |
TEXT |
The username of the job creator |
|
JOB_CREATOR_ID |
NUMBER |
A unique number that identifies the job creator |
|
PROJECT_DUE |
TEXT |
Indicates whether the project is on-time or overdue in delivery |
|
JOB_ID |
NUMBER |
A unique number that identifies the job |
|
FILE_NAME |
TEXT |
The name of the uploaded file for which a job is created. This field is empty for hourly quotes. |
|
FILE_EXTENSION |
TEXT |
The file extension of the uploaded document |
|
DATE_COMPLETED_PROJECT |
TIMESTAMP_LTZ |
The date the project is marked as completed |
|
DATE_COMPLETED_WORKFLOW_STEP |
TIMESTAMP_LTZ |
The date the workflow step is marked as completed |
|
DATE_DELIVERED_WORKFLOW_STEP |
TIMESTAMP_LTZ |
The date the workflow step is marked as delivered |
|
DATE_DUE_WORKFLOW_STEP |
TIMESTAMP_LTZ |
The due date set for the workflow step |
|
DATE_PROJECT_STATUS_LAST_UPDATE |
TIMESTAMP_LTZ |
The date the project status was last updated |
|
DATE_WORKFLOW_STEP_STATUS_LAST_UPDATE |
TIMESTAMP_LTZ |
The date the workflow step status was last updated |
|
DATE_PROJECT_CREATED |
TIMESTAMP_LTZ |
The date the project is created |
|
PROJECT_UID |
TEXT |
A unique alphanumeric that identifies the project which is also referenced as part of the URL |
|
JOB_UID |
TEXT |
A unique alphanumeric that identifies the job |
|
PROJECT_CREATOR_ID |
NUMBER |
A unique number that identifies the project creator or submitter user |
|
PROJECT_CREATOR_USERNAME |
TEXT |
The username of the project creator or submitter user |
|
PROJECT_CREATOR_FULL_NAME |
TEXT |
The name and surname of the project creator or submitter user |
|
CHARACTERS_PROCESSED |
NUMBER |
The number of source characters uploaded and processed. If a job has several workflow steps, it only includes the count of the first workflow step. |
|
CHARACTERS_COMPLETED |
NUMBER |
The number of source characters in a segment that is marked as locked, confirmed, or both, either manually in the editor or automatically. |
|
WORDS_LOCKED |
NUMBER |
The number of words that are locked and do not require confirmation before a provider sets the job to completed |
|
WORDS_CONFIRMED |
NUMBER |
The number of words in a job that are confirmed in the editor, before a job can be set as complete |
|
CHARACTERS_LOCKED |
NUMBER |
The number of characters that are locked and do not require confirmation before a provider sets the job to completed |
|
CHARACTERS_CONFIRMED |
NUMBER |
The number of characters in a job that are confirmed in the editor, before a job can be set as complete |
|
WORDS_CONFIRMED_AND_LOCKED |
NUMBER |
The number of words that are both confirmed and locked |
|
CHARACTERS_CONFIRMED_AND_LOCKED |
NUMBER |
The number of characters that are both confirmed and locked |
|
PROJECT_URL |
TEXT |
Web address which can be used to access the project |
|
BASE_URL |
TEXT |
Web address of the Phrase TMS |
|
WORDS_PROCESSED_LATEST_VERSION |
NUMBER |
The number of source words for the latest version of the job |
|
JOB_OWNERSHIP |
TEXT |
Shows whether the job is created by the organisation or created by another organisation as a shared job or inside a shared project |
|
JOB_INTERNAL_ID |
TEXT |
The number that is displayed in the TMS UI next to the row items for jobs in a project. |
|
PROJECT_INTERNAL_ID |
NUMBER |
Contains the unique numerical value that is displayed at the top, just after the “#”, in the project view |
|
BILLED_WORDS_PROCESSED |
NUMBER |
This field shows the total number of words in the source language uploaded; or, if the source language is a character-based language (i.e., Japanese, Korean, Simplified or Traditional Chinese), the total number of characters uploaded divided by two. This is the billing metric for TMS processed words. |
|
DATE_JOB_VERSION_CREATED |
TIMESTAMP_LTZ |
The date when the job version was created. For the initial version, this date is the same as job creation date. |
|
JOB_VERSION |
NUMBER |
A new version number is created every time a job gets updated. |
|
IS_LATEST_JOB_VERSION |
BOOLEAN |
States whether the job is the latest version or not. |
View TMS_CURATED_QUOTE_DETAIL_V2 provides detailed information for each quote, including metadata, project linkage, provider details, pricing, and status.
|
Column Name |
Column Type |
Column Description |
|---|---|---|
|
ORGANIZATION_ID |
NUMBER |
Organization ID |
|
LANGUAGE_PAIR |
TEXT |
A concatenation of the source and target languages |
|
LOCALE_PAIR |
TEXT |
A concatenation of the source and target locales |
|
PROJECT_ID |
NUMBER |
A unique number that identifies the project |
|
PROJECT_NAME |
TEXT |
The name of the project |
|
PROJECT_OWNER_ID |
NUMBER |
A unique number that identifies the project owner |
|
CLIENT_NAME |
TEXT |
The client name |
|
DOMAIN_NAME |
TEXT |
The domain name |
|
JOB_PROVIDER |
TEXT |
Linguist or vendor assigned to the workflow step |
|
JOB_PROVIDER_FULL_NAME |
TEXT |
The name and surname of the provider |
|
JOB_PROVIDER_UNIQUE_ID |
TEXT |
Unique identifier of a provider which allows to distinguish between providers with the same name |
|
PROJECT_OWNER_USERNAME |
TEXT |
The username of the project owner |
|
WORKFLOW_STEP_NAME |
TEXT |
The workflow step name of the job |
|
BUSINESS_UNIT_NAME |
TEXT |
The business unit name |
|
COST_CENTER_NAME |
TEXT |
The cost center name |
|
SUBDOMAIN_NAME |
TEXT |
The subdomain name |
|
SOURCE_LANGUAGE |
TEXT |
The source language |
|
TARGET_LANGUAGE |
TEXT |
The target language |
|
SOURCE_LOCALE |
TEXT |
The source language locale |
|
TARGET_LOCALE |
TEXT |
The target language locale |
|
PROJECT_OWNER_FULL_NAME |
TEXT |
The name and surname of the project owner |
|
PROJECT_STATUS |
TEXT |
The status of the project |
|
JOB_CREATOR_FULL_NAME |
TEXT |
The name and surname of the job creator |
|
WORKFLOW_STEP_STATUS |
TEXT |
The status of the workflow step |
|
DATE_DUE_PROJECT |
TIMESTAMP_LTZ |
The due date of the project |
|
JOB_CREATOR_USERNAME |
TEXT |
The username of the job creator |
|
JOB_CREATOR_ID |
NUMBER |
A unique number that identifies the job creator |
|
FILE_NAME |
TEXT |
The name of the uploaded file for which a job is created. This field is empty for hourly quotes. |
|
DATE_COMPLETED_PROJECT |
TIMESTAMP_LTZ |
The date the project is marked as completed |
|
DATE_COMPLETED_WORKFLOW_STEP |
TIMESTAMP_LTZ |
The date the workflow step is marked as completed |
|
DATE_DELIVERED_WORKFLOW_STEP |
TIMESTAMP_LTZ |
The date the workflow step is marked as delivered |
|
DATE_DUE_WORKFLOW_STEP |
TIMESTAMP_LTZ |
The due date set for the workflow step |
|
DATE_PROJECT_STATUS_LAST_UPDATE |
TIMESTAMP_LTZ |
The date the project status was last updated |
|
QUOTE_ID |
NUMBER |
A unique number that identifies the quote |
|
QUOTE_INTERNAL_ID |
NUMBER |
The ID number that is displayed in the TMS UI next to the row items for quotes |
|
QUOTE_NAME |
TEXT |
The name of the quote |
|
ANALYSIS_ID |
NUMBER |
A unique number that identifies the analysis |
|
DATE_CREATED_QUOTE |
TIMESTAMP_LTZ |
The date the quote is created |
|
CREATED_BY |
TEXT |
The username of the quote creator |
|
CURRENCY |
TEXT |
Indicates the currency of the associated price |
|
BILLING_UNIT |
TEXT |
Indicates whether the price is billed per character, word, page, or hour |
|
LINGUIST_UNIQUE_ID |
TEXT |
This is a unique number identifying the linguist |
|
VENDOR |
TEXT |
Shows the organization name |
|
VENDOR_UNIQUE_ID |
TEXT |
This is a unique number identifying the vendor |
|
UNITS |
NUMBER |
The total of the metric, which is set as the billing unit (e.g. word, character, page, hour) |
|
NET_UNITS |
NUMBER |
The total of the billing unit metric when a net rate scheme is applied |
|
RATE |
NUMBER |
The actual price divided by the number of net units |
|
MINIMUM_PRICE |
NUMBER |
The minimum price set for all the jobs within the quote |
|
PRICE |
NUMBER |
The price incurred for each job within the quote |
|
ACTUAL_PRICE |
NUMBER |
The actual price makes the comparison between the total price and the minimum price, and takes the higher value. If the total price is higher, the actual price shows the price of that workflow step and language pair |
|
QUOTE_STATUS |
TEXT |
Shows the latest status of the quote |
|
QUOTE_TYPE |
TEXT |
This is used to differentiate between buyer/provider quotes. |
|
SUBMITTED_BY |
TEXT |
The username of the person that submitted the job through a submitter portal |
|
DATE_CREATED_PROJECT |
TIMESTAMP_LTZ |
The date the project is created |
|
QUOTE_OWNERSHIP |
TEXT |
Shows whether the quote is created by the organisation or created by another organisation as a shared quote |
|
PURCHASE_ORDER |
TEXT |
This refers to a code entered when submitting a job via a submitter portal |
|
PROJECT_UID |
TEXT |
A unique alphanumeric that identifies the project which is also referenced as part of the URL |
|
JOB_UID |
TEXT |
A unique alphanumeric that identifies the job |
|
SUBMITTER_PORTAL_NAME |
TEXT |
The name of the submitter portal |
|
NET_RATE_SCHEME_NAME |
TEXT |
The name of the net rate scheme used |
|
PRICE_LIST_NAME |
TEXT |
The name of the price list used |
|
MACHINE_TRANSLATION_ENGINE |
TEXT |
The name of the machine translation engine |
|
LINGUIST_USERNAME |
TEXT |
The username of the linguist, or "Assigned by (organization name)" if the project is shared |
|
LINGUIST_FULL_NAME |
TEXT |
The name and surname of the linguist |
|
PROJECT_INTERNAL_ID |
NUMBER |
Contains the unique numerical value that is displayed at the top, just after the “#”, in the project view |
This table provides information about Translation Memories (TM). It can be joined with SEGMENT_STATISTIC_V2 on TRANSLATION_MEMORY_ID to capture when TMs were used for translation content.
|
Column Name |
Column Type |
Column Description |
|---|---|---|
|
ORGANIZATION_ID |
NUMBER |
A unique number that identifies the organization |
|
TRANSLATION_MEMORY_ID |
NUMBER |
A unique number that identifies the TM |
|
TRANSLATION_MEMORY_UID |
TEXT |
A unique alphanumeric that identifies the TM which is also referenced as part of the URL |
|
TRANSLATION_MEMORY_INTERNAL_ID |
NUMBER |
This is displayed in the TMS UI as the inner ID for a TM |
|
TRANSLATION_MEMORY_NAME |
TEXT |
The name given to the TM |
|
DATE_CREATED |
TIMESTAMP_LTZ |
The date the TM was created |
|
DATE_DELETED |
TIMESTAMP_LTZ |
The date the TM was deleted |
|
IS_DELETED |
BOOLEAN |
Indicates whether the TM is deleted or not |
|
OWNER__USER_ID |
NUMBER |
The user ID of the person who owns the TM |
|
SOURCE_LOCALE |
TEXT |
The source language locale of the TM |
|
BUSINESS_UNIT_NAME |
TEXT |
The business unit assigned to the TM |
|
CLIENT_NAME |
TEXT |
The client name assigned to the TM |
|
DOMAIN_NAME |
TEXT |
The domain assigned to the TM |
|
SUB_DOMAIN_NAME |
TEXT |
The sub‐domain assigned to the TM |
|
Column Name |
Column Type |
Column Description |
|---|---|---|
|
ORGANIZATION_ID |
NUMBER |
Organization ID |
|
USER_ID |
NUMBER |
User ID |
|
USER_UID |
TEXT |
Unique user ID |
|
USER_INNER_ID |
NUMBER |
ID of the user in the UI |
|
IS_ACTIVE |
BOOLEAN |
True/false user active |
|
CREATED_BY__USER_ID |
NUMBER |
ID of the user who created the user |
|
DATE_CREATED |
TIMESTAMP_LTZ |
Date/time when user was created |
|
DATE_DELETED |
TIMESTAMP_LTZ |
Date/time when user was deleted |
|
IS_DELETED |
BOOLEAN |
True/false deleted |
|
DELETED_BY__USER_ID |
NUMBER |
ID of the user who deleted the user |
|
|
TEXT |
User email |
|
FIRST_NAME |
TEXT |
First name |
|
LAST_NAME |
TEXT |
Last name |
|
LOCALE |
TEXT |
User country location |
|
NOTE |
TEXT |
Note |
|
ROLE |
TEXT |
User role |
|
TIMEZONE |
TEXT |
User timezone |
|
USERNAME |
TEXT |
User name |
|
Column Name |
Column Type |
Column Description |
|---|---|---|
|
ORGANIZATION_ID |
NUMBER |
Organization ID |
|
VENDOR_ID |
NUMBER |
Vendor ID |
|
CREATED_BY__USER_ID |
NUMBER |
ID of the user who created the vendor |
|
DATE_CREATED |
TIMESTAMP_LTZ |
Date/time when vendor/org was created |
|
DATE_DELETED |
TIMESTAMP_LTZ |
Date/time when vendor/org was deleted |
|
IS_DELETED |
BOOLEAN |
True/false vendor/org deleted |
|
DELETED_BY__USER_ID |
NUMBER |
ID of the user who deleted the vendor |
|
VENDOR__ORGANIZATION_ID |
NUMBER |
Organization ID of the vendor |
|
ORGANIZATION_NAME |
TEXT |
Organization name |
|
Column Name |
Column Type |
Column Description |
|---|---|---|
|
ORGANIZATION_ID |
NUMBER |
Organization ID |
|
WORKFLOW_STEP_ID |
NUMBER |
Workflow step ID |
|
ABBREVIATION |
TEXT |
Abbreviation defined by user |
|
IS_DELETED |
BOOLEAN |
True/false workflow step deleted |
|
WORKFLOW_STEP_NAME |
TEXT |
Workflow step name |
|
WORKFLOW_PROCESSING_ORDER |
NUMBER |
Order of the workflow step in a project |