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Guidelines
Users with the Administrator role must connect a machine translation engine , so that linguists can benefit from machine translation matches.
Go to Configuration → Settings → Translation → Machine translation → MT engines, and select an MT engine from the list.
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In the General options section, configure the three options there to meet your
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requirements.
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The settings you make will be applied globally for all
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projects (unless overridden by customer or project template settings
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!):
Do not search for an MT match when one of the selected matches exists;,
Populate target with match;,
Set MT matches to done.
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Below is the list of MT engines, enter the information
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provided by your machine translation provider to activate the particular machine translation engine.
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IMPORTANT! |
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The connection details a user needs to |
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enter vary from one MT engine to |
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the next! |
Decide whether or not the use of a given particular MT engine is to be a default choice when creating a project by checking is created. To do so, select the Default setting.
Specify Type of account (if applicable).
Insert Enter the API Url.
Insert Enter the API Key.
Enable AI-enhanced TM.
| Info |
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In the case of the Systran MT system, an AI-enhanced TM enables you to improve machine translation matches using the highest Fuzzy Matches coming from the translation memory, up to the 84% of the threshold. Make sure to Ensure that you deselect the 75-84% fuzzy matches category in Configuration → Settings → Translation → TM → Fuzzy matchesin order , to be able to use this feature. The You can view the list of supported languages is available here: List of Supported Languages. If you have a Pro subscription and a dedicated server, the number of available language pairs will depend on the scope of your subscription. |
Specify when the source text is supposed to be sent off for the TM matching by selecting one of the available options in the Send text for matching field:
a) In XTM Workbench → the text is only sent to an MT only system when a user enters a segment in XTM Workbench in the “Edit mode”, in "Edit mode". The translation is provided on a segment-to-segment basis.
b) After analysis → the whole text is sent to for MT matching during project analysis. When the user enters XTM Workbench, all segments are filled out with MT matches.
c) After analysis and in XTM Workbench → the whole text is sent to for MT matching during project analysis. The text can be resent to the MT engine on a segment-to-segment basis, as is the case with the this option: In XTM Workbench.
Decide if you want to make use of the auto inline tag placement feature.
Finally, click Synchronize to establish an API connection between XTM Cloud and an MT provider.
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Click Save
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to save the changes.
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The next time you create a project, you can choose one of the activated machine translation engines in the Machine translation section to use with your translation and adjust the settings mentioned in item 2 ad hoc.
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Setting up Custom MT
Aside from a standard MT engine, XTM provides the option to you can enable and configure the a connection to a custom machine translation engine in XTM Cloud.
Go to Configuration → Settings → Translation → Machine translation → MT engines → Add Custom MT.
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A new
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popup window is displayed. In it, fill all the required fields:
Enter a unique Custom MT name for your MT engine.
Provide Enter the Username and Password used to log in to the MT engine.
Enter the API Base URL.
Provide Enter your Authentication endpoint and Translation endpoint.
Provide Enter the Check status endpoint.
Provide Specify time intervals at which the status has is to be checked, in the At intervals of [...] seconds field.
Provide Specify your endpoint for downloading translation in the Download translation endpoint field.
Choose Custom fields (which are configurable for each MT engine).
Optionally, provide enter a Custom fields prefix (to distinguish custom fields field metadata sent off to MT from other metadata).
Finally, click Add.
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The new MT engine is displayed in the Configuration → Settings → Translation → Machine Translation → MT engines section. You can add it when you create a project or in the Project Editor.
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IMPORTANT! Any Custom MT will only work |
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"after analysis", which means that MT matches will be available |
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after a project |
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has |
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been analyzed. |
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Good to know!
You can also customize the MT setup per customer for specific customers [Customers → (select a customer) → Settings → Machine translation] as well as and a project template [Projects → Templates → (select a project template) → Project details → Machine translation]. The configuration on at those levels will of course overwrite global settings.