Memsource offers integrations with many machine translation providers. It is possible to use machine translation with Memsource Translate or by setting up direct connections with Third-party MT engines.
Important
Microsoft Translator with Feedback and Manage MT via Memsource have been deprecated.
Raw Machine Translation
In cases where perfect translation is not required, such as internal communication, a raw machine translation can be used. Depending on the quality of the translation memory, even raw machine translation can have some quality. A raw machine translation is generated in pre-translation.
Post-editing Machine Translation
Higher quality translation requires the review and editing of raw machine translation by professional linguists. A translation workflow should include the machine translation, the editing and review processes along with management and client notifications. Post-editing translation decisions are captured in translation memories and term bases for reuse.
From the Machine Translation Settings page, the Machine Translation Usage table is presented, Memsource Translate can be configured and Third-Party Machine Translation Engines can be added.
To access Machine Translation Engines settings, follow these steps:
Machine Translation relies on the use of purchased characters. If no characters for an engine are available, the engine cannot be used. Characters are specific for the engine they have been purchased for.
MT characters usage is calculated on the source text including spaces and when confirming segments that have no alt-trans (based on settings).
The Machine Translation Engines page presents a character usage chart for all MT engines associated with your account.
Data for a specific engine can be viewed by deselecting the names of the other engines at the bottom of the chart. The chart only displays data from the last 30 days.
By default, Project Managers can only see data related to projects they have created.
Remaining Characters
Remaining characters are presented for all associated MT engines. Memsource Translate characters are included with the Memsource Translate Add-on.
If Memsource Translate is not being used, Third-party machine translation engines can be accessed via an API. If using Third-party MT in Memsource, ensure the terms and conditions of the given MT provider have been read and understood. Some MT engines have specific restrictions.
To set up a new machine translation engine, have an Admin user follow these steps:
From the Setup
page, scroll down to the section.-
Click on Machine Translation Engines.
The page opens.
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Click on Create.
The window opens.
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Select MT Engine type from the drop-down list and click Create.
The details page open.
Fill in required fields as per MT Engine type.
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Select options (not applicable to all MT Engine types)
Add labels (Key and Value)
Include Tags
Make Default
MT Quality Estimation
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Click Save.
The engine is added to list of Third-party Machine Translation Engines.
Some machine translation engines are not for public use, and some are only accessible in specific Memsource editions.
Raw data can be filtered and extracted from translation memories for use in training custom machine translation engines via an API.
API documentation
Data cleaning process:
Raw data from specified locale pairs is downloaded from translation memories.
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Data is filtered.
Segments with the same source and target are discarded along with tags and data is de-duplicated.
Filtering is more relaxed for CJK languages.
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10% of the data with the lowest semantic similarity between the source and the target is removed.
The ratio of discarded data may be defined using
preserveRatio. Data is converted to TXT/TSV based on the
outputFormatsetting.
Cleaning criteria:
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Minimum/maximum length
Each segment requires at least 5 characters and at least 3 letters in any alphabet/script. The segment must be shorter than 1000 characters. Non-conforming segments are discarded
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Length ratio
Language specific.
Ratio of source segment length vs. target segment length (and vice versa) cannot be larger than 2.
Example:
If the source segment has 30 characters and the target has 70 characters, the segment pair will be discarded.
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LASER score
Segment pairs that pass initial checks are scored using the LASER metric and sorted according to the score; segment pairs scoring more than 90% are are kept. LASER automatically detects whether sentences in two different languages are similar. This check is mainly targeted at misaligned/noisy TM entries.
Alexa Translations A.I. (formerly Yappn)
Amazon Translate
Apertium
Closed NMT
CrossLang
DeepL Pro Advanced and DeepL Pro Ultimate (contact DeepL's support for an API v1 key for CAT tools)
Fair Trade Translation
Globalese
Globalese NMT (Neural Machine Translation)
Google AutoML
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Google Translate
Important
As of November 3rd, 2020, all new projects created with Google Translate as the selected engine will automatically use Google’s Neural Machine Translation (NMT) engine by default instead of Google’s Statistical Machine Translation (SMT) engine.
Human Science
KantanMT
Kodensha MT
Microsoft Custom Translator (in Microsoft Azure, set location to "global")
Microsoft Translator / Microsoft Translator Hub
Mirai Translator
MoraviaMT
NICT
NpatMT
Omniscien Technologies
PangeaMT
PROMT
Rozetta T-3MT
Rozetta T-4OO
SDL BeGlobal
SDL Language Cloud
Skrivanek
Sunda MT
Systran
Systran PNMT
T-tact AN-ZIN
Tauyou
Tauyou Real-time
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Tencent TranSmart
Important
Only available through Memsource Translate. Supports zh -> en and en-> zh translations (simplified Chinese only).
Tilde MT
Toshiba
Ubiqus NMT
Yandex