TMop is an open-source software written in Python designed for cleaning and maintaining a Translation Memory (i.e. a collection of (source, target) segments, called Translation Units, used to aid human translators operating in a Computer-assisted Translation framework).
The goal of TMop is to identify and remove from the TM all the "bad" TUs, in which any of the two textual elements is either:
i) syntactically poor,
ii) semantically different from the other,
iii) awkward according to some formatting criteria.
TMop has been developed at Fondazione Bruno Kessler with the support of the European Association of Machine Translation (EAMT) and the European Project Modern Machine Translation (MMT). It can be downloaded as a package including: software, documentation, toy data and evaluation scripts.
If you use TMOP in your research, please cite TMop: a Tool for Unsupervised Translation Memory Cleaning.
@InProceedings{jalilisabet2016tmop,
title = {TMop: a Tool for Unsupervised Translation Memory Cleaning},
author = {Jalili Sabet, Masoud and Negri, Matteo and Turchi, Marco and de Souza, Jos{\'e} GC and Federico, Marcello},
journal = {Proceedings of ACL-2016 System Demonstrations},
pages = {49--54},
year = {2016}
}
Matteo Negri, Fondazione Bruno Kessler, Italy (negri_at_fbk.eu)
Masoud Jalili Sabet, Ludwig Maximilian University of Munich, Germany (jalili.masoud_at_cis.lmu.de)
Marco Turchi, Fondazione Bruno Kesler, Italy (turchi_at_fbk.eu)
