Skip to content
Blackbird docs
GitHub

ModernMT

ModernMT is a more human machine translation. It improves from corrections and adapts to the context of the document. Its features include translation using weighted translation memories, hints and glossaries.

Before setting up

Before you can connect you need to make sure that:

  • You have a ModernMT account.
  • Your ModernMT account has a plan that allows you to generate a License Key.

Connecting

  1. Navigate to apps and search for ModernMT. If you cannot find ModernMT then click Add App in the top right corner, select ModernMT and add the app to your Blackbird environment.
  2. Click Add Connection.
  3. Name your connection for future reference e.g. ‘My ModernMT’.
  4. Enter your ModernMT license key.
  5. Click Authorize connection.

connecting

Actions

Translation

  • Translate translates a segment into a given language. It can optionally take arguments for glossaries, contexts, hints, and more. See the ModernMT documentation for all the options.
  • Translate multiple behaves the same as translate, but with multiple segments rather than just one.

Quality estimation

  • Estimate quality takes a source and translation and returns a score between 0 and 1 indicating the machine translation quality.
  • Estimate XLIFF quality provides quality estimation data for all segments in an XLIFF 1.2 file. Mandatory input data include the translated XLIFF file, source and target language values. As an output, an Average Score is provided, which is the average of the quality scores for all segments in the file. Additionally, all translation units get appeneded with their individual score which is added to the extradata attribute in the XLIFF file. Optionally, you can add Threshold, New Target State and Condition input parameters to the Blackbird action to change the target state value of segments meeting the desired criteria.

Examples:

Setting the optional input values as shown in the image below will result in all segments with a score above 0.9 to have their target state values updated to “final”.

Optional inputs 1

Similarly, the setup below will cause all the segments with a quality score below or equal to 0.6 to have their target state value changed to “needs-review-translation”.

Optional inputs 2

Language detection

  • Detect langauge returns a language code given a segment.
  • Detect multiple languages behaves the same as detect language, but for multiple segments.

Context Vectors

  • Get context vector from text returns a context vector that can be used for translation actions. For details about context vectors see the ModernMT documentation.

Memories

  • Get memory, Create memory, Update memory, Delete memory are actions that can be used to manage the existing memories and metadata like name and description.
  • Add translation to memory and Update memory translation pair can be used to add/update new sentence-translation pairs into an existing memory.
  • Import memory from tmx allows you to add new sentence-translation pairs in bulk through existing TMX files.

Example

example

This example show a simple bird that translates incoming Slack messages, performs a quality estimation and then send the translation and quality estimation together back as a Slack message.

1693303512885

Feedback

Feedback to our implementation of ModernMT is always very welcome. Reach out to us using the established channels, or create an issue.