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 : https://github.com/SoimulPatriei/TMCleaner

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 tm.cleaner@yahoo.com .