Net Rate Schemes (TMS)

Content is machine translated from English by Phrase Language AI.

Phrase can calculate net rates for translation memories, machine translation, non-translatables (NT), and internal fuzzies (IF).

Translation memory net rates

Translation memory net rate schemes have four categories:

  • Repetition

    A segment repeated in a document.

  • In-context match

    A segment which matches a segment already stored in the translation memory, including its context; the preceding and following segments or context keys match.

  • 100% match

    A segment which matches a segment already stored in the translation memory.

  • Fuzzy match

    A segment which partially matches a segment already stored in the translation memory. Fuzzy matches can range from 99% down to zero. Fuzzy matches below a 75% match rate are considered new words and are newly translated.

Non-translatables net rates

Non-translatable net rate schemes have three categories:

  • 100% match

    A segment identified as content that is unlikely requiring translation but may require checking by a translator.

  • 99% match

    A segment identified as content that probably does not require translation, but should be checked by a translator.

  • Fuzzy match

    For default analysis, NTs fall only into one of the categories mentioned above. If  post-edited, they can fall into fuzzy ranges in terms of Post-editing analysis.

Machine translation net rates

Machine translation quality is measured by comparing at a segment level a machine translation and the final post-edited version of that translation. The match score is calculated the same way as translation memory matches.

After opening a post-editing analysis, select a net rate scheme and the pages/words/characters are recalculated. The results are displayed in the net rate line.

Internal fuzzies net rates

Internal fuzzies (IF) are segments which partially match other segments within a file or multiple files. IF are not standard fuzzy matches, as they are found within the translation files rather than coming from a translation memory.

The match score is calculated the same way as TM fuzzy matches.

To charge internal fuzzies differently than TM fuzzy matches, specify their net rates for the desired match category under the IF column upon setting up new net rate schemes or updating existing ones.

Set up a Net Rate Scheme

Net rates are independent of financial information. The number of units for translation (pages, words, or characters) decreases based on the selected net rate scheme.

Only Project Managers and Admins can setup Net Rate Schemes.

To set up a net rate scheme, follow these steps:

  1. From the Settings Setup_gear.png page, scroll down to the Financials section and click on Net rate schemes.

    The Net rate schemes page opens.

  2. Click New.

    The Create page opens.

  3. Provide a name for the scheme.

    • Select Default radio button to make this scheme the default scheme when creating a new project.

  4. Update default values as required.

  5. Click Save.

    The scheme is added to the Net Rrate schemes page.

Calculation Example

How a net rate scheme can be applied to TM matches.

Net Rate Scheme settings:

  • 0% for 101% TM match

  • 10% for 100% TM match

  • 100% for less than 50% TM match

Analyzed job has these matches:

  • 15 words in 101% TM match

  • 10 words in 100% TM match

  • 5 words in less than 50% TM match

The calculation of number of word and the Net Rate percentage: 15 * 0 + 10 * 0.1 + 5 * 1 = 6


Apply a Net Rate Scheme

To apply a net rate scheme, follow these steps:

  1. Create a job and generate a Default analysis for that job.

  2. Open the analysis.

  3. Select a net rate from the dropdown list and click Apply Net Rate.

    The net rate is applied and reflected in the table.

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