Machine Translation

MTU Consumption and Weights

Content is machine translated from English by Phrase Language AI.

MTU Calculation

Phrase calculates MTU usage based on each character sent to a machine translation service using the following calculation:

A * (B + C) = Machine Translation Units

Where:

  • A is the total number of characters that the customer sends for machine translation.

  • B is the weight assigned by Phrase to the applicable machine translation service.

  • C is the weight assigned by Phrase to reflect the additional features made available in Phrase Language AI (e.g. autoselect, QPS, MT glossaries, etc.).

    This weight is always applied to any machine translation performed via Phrase Language AI, even if the additional features are not used.

Features that consume MTUs are:

  • Pre-translation

    During pre-translation, confirming segments with 100% TM matches and 101% TM matches always consumes MTUs. Correct computation of post-editing analysis requires MT suggestions.

    If segments are not confirmed during pre-translation, users can optimize the consumption of MTUs for segments with high TM fuzzy matches by disabling the option Use machine translation for segments with a TM match of 100% or more in the pre-translation settings.

  • Default analysis

    MTUs are consumed if the option Include machine translation matches (QPS) is enabled.

  • CAT editor

    Confirming segments during translation always consumes MTUs. Correct computation of post-editing analysis requires MT suggestions.

  • Phrase Language AI Portal

Examples

Manually managed engine with autoselect and QPS:

  • 10 characters [A] * (0 [B] + 0.5 [C]) = 5 MTUs

Manually managed engine with autoselect and without QPS:

  • 10 characters [A] * (0 [B] + 0.5 [C]) = 5 MTUs

Fully managed engine (e.g. Phrase NextMT) with autoselect and QPS:

  • 10 characters [A] * (0.5 [B] + 0.5 [C]) = 10 MTUs

Fully managed engine (e.g. Phrase NextMT) with autoselect and without QPS:

  • 10 characters [A] * (0.5 [B] + 0.5 [C]) = 10 MTUs

Machine Translation Service Weights

Type

Weight

Amazon Translate

0.5

Custom NextMT

0.5

DeepL

0.5

Google Translate

0.5

Microsoft Translator

0.5

Phrase Next GenMT

1.0

Phrase NextMT

0.5

Rozetta Translate

2.0

Tencent

0.5

Phrase Language AI Service Weights

Type

Weight

With or without additional features

0.5

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