Machine Translation

Language Pair Quality

This article explains how confident Phrase is in the quality of its translation capabilities for different language pairs, and how to check quality on translated content.

It applies to Phrase NextMT, Phrase Next GenMT, AI Translation Agent, Auto Adapt, and MT Optimize. Each capability has a separate language pair list, but all capabilities use the same confidence tiers.

Why Quality Varies Between Language Pairs

Translation quality depends on many factors, including the amount of training data available for a language. Quality can also differ by translation direction. A pair can perform well from English into a language but less consistently in the opposite direction. The type of content also affects quality.

Third-party machine translation services have their own language lists. Check the languages that the service supports.

Confidence Tiers

Important

The confidence tiers are based on tests using general-purpose content. They provide guidance rather than a guarantee of quality, and Phrase may update them as testing continues. Quality for the same language pair can differ significantly between content types. Check the output on specific content before using any capability at scale.

Tier

What it means

Suggestion

Confident

The pair was tested in that direction and performed well in Phrase’s tests.

Use the capability as usual, with standard quality checks.

Limited confidence

The pair was tested, but the results were not reliable enough to confirm quality. Quality may be inconsistent. Review before use.

Test a sample of your content and review the output before use. Consider adding post-editing.

Not tested

The pair has not been tested. Phrase cannot confirm quality.

Try the capability on a sample of the content and review the output before use.

Tier by Language Pair

Each capability has its own list. The tier applies to each translation direction separately. Language pairs not listed for a capability are Not tested for that capability.

Phrase NextMT

Language

English to language

Language to English

Arabic

Confident

Confident

Bulgarian

Limited confidence

Not tested

Chinese (Simplified)

Confident

Confident

Chinese (Traditional)

Confident

Confident

Czech

Confident

Confident

Danish

Confident

Limited confidence

Dutch

Confident

Confident

Finnish

Confident

Confident

French

Confident

Limited confidence

German

Confident

Confident

Greek

Confident

Limited confidence

Hebrew

Limited confidence

Limited confidence

Hindi

Confident

Not tested

Hungarian

Confident

Limited confidence

Icelandic

Confident

Not tested

Indonesian

Confident

Confident

Italian

Confident

Limited confidence

Japanese

Confident

Confident

Korean

Confident

Confident

Malay

Confident

Not tested

Norwegian

Confident

Confident

Polish

Confident

Limited confidence

Portuguese

Confident

Confident

Romanian

Confident

Not tested

Russian

Confident

Limited confidence

Serbian

Confident

Confident

Serbian (Cyrillic)

Confident

Limited confidence

Serbian (Latin)

Confident

Confident

Slovak

Confident

Limited confidence

Spanish

Confident

Confident

Swedish

Confident

Confident

Thai

Confident

Confident

Turkish

Confident

Confident

Ukrainian

Confident

Not tested

Vietnamese

Confident

Confident

Welsh

Confident

Confident

Pairs without English

Language pair

Tier

Catalan to Spanish

Limited confidence

Chinese (Simplified) to Japanese

Limited confidence

Chinese (Simplified) to Korean

Limited confidence

Chinese (Simplified) to Thai

Confident

Chinese (Simplified) to Vietnamese

Limited confidence

Estonian to Finnish

Confident

Japanese to Chinese (Simplified)

Limited confidence

Korean to Chinese (Simplified)

Confident

Lithuanian to Estonian

Limited confidence

Lithuanian to Latvian

Confident

Lithuanian to Russian

Limited confidence

Spanish to Catalan

Limited confidence

Thai to Chinese (Simplified)

Confident

Vietnamese to Chinese (Simplified)

Confident

Evaluate Quality for Specific Content

Test NextMT on a sample of content before using it at scale, especially for Limited confidence and Not tested pairs. Include each content type planned for translation, such as UI strings, marketing copy, and support articles.

To evaluate quality, follow these steps:

  1. Enable Phrase NextMT on the Phrase Language AI page or, for accounts that use MT profiles, in an MT profile.

    Note

    NextMT is not enabled by default for existing customers. It is enabled by default for new subscribers and trial users. Only TMS Administrators and Project Managers with permissions to modify global server settings can edit MT profiles.

    To make sure the test uses only NextMT, disable all other engines or create a dedicated MT profile that contains only NextMT. If multiple engines are enabled, MT Autoselect picks the engine for each job and may not choose NextMT.

  2. Translate the sample in the Phrase product in use. If MT profiles are used, apply the profile that contains only NextMT.

    Product

    Translate the sample

    View the Quality Performance Score (QPS)

    Phrase TMS

    Assign the profile to a project and pre-translate it.

    Enable Display 0-100% Quality Performance Score (QPS) on translations in CAT editor in the project settings. Scores appear at the segment level.

    Phrase Strings

    Assign the profile to a language in the project’s language settings and machine translate the sample keys.

    Scores appear in the editor when a translation is saved. Toggle the display on and off as needed.

    Phrase Portal

    Upload a sample file and click Translate, using a portal set up to use NextMT.

    Enable QPS for file translations in the Quality settings of the portal.

    Phrase Language AI via API

    Send the sample using the ID of the profile.

    The API returns document-level scores.

  3. Review the Quality Performance Score (QPS).

    QPS predicts the score a human reviewer would give the translation, from 0 to 100. QPS scoring is available by default, but some products require switching on the display, as listed in the table above.

    Score

    Category

    95–100

    Excellent

    90–94

    Very good

    75–89

    Good

    0–74

    Poor

    Note

    QPS is not available for every language pair. Refer to Phrase QPS Overview for the supported pairs.

  4. Have a linguist review the sample. If the results meet requirements, continue and keep monitoring quality, especially when the content type changes. Otherwise, add a post-editing step to the workflow.

    In Phrase TMS, use Phrase Orchestrator to send only segments below a chosen QPS score for human review. The QPS dashboard in Phrase Analytics helps identify a suitable threshold.

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