Innovations for Translators – Introducing TM Cleaner

We are happy to announce TM Cleaner , a software for identifying the translation units in translation memories or parallel corpora that contains segments that are not translations of each other.

TM Cleaner has the following features :

  1. It is written in python and java.
  2. It is hosted at github :
  3. Free for research and commercial use: it is released under LGPL license.
  4. It uses a combination of machine learning and rule-based classification to identify wrong translation segments.
  5. It is fully integrated with scikit-learn: this means that all classification algorithms in scikit-learn can be easily integrated.
  6. Can be used standalone or as a web service.
  7. It works in three modalities : with Bing translation engine, with Hunalign sentence aligner and with Fastalign word aligner .
  8. It contains a module for evaluating the accuracy of classification
  9. It has easy to follow tutorials.

For comments, bug reports or suggestions please use the email address