Summary of the paper

Title MARMOT: A Toolkit for Translation Quality Estimation at the Word Level
Authors Varvara Logacheva, Chris Hokamp and Lucia Specia
Abstract We present Marmot~― a new toolkit for quality estimation (QE) of machine translation output. Marmot contains utilities targeted at quality estimation at the word and phrase level. However, due to its flexibility and modularity, it can also be extended to work at the sentence level. In addition, it can be used as a framework for extracting features and learning models for many common natural language processing tasks. The tool has a set of state-of-the-art features for QE, and new features can easily be added. The tool is open-source and can be downloaded from \url{https://github.com/qe-team/marmot/
Topics Tools, Systems, Applications, Statistical and Machine Learning Methods, Language Modelling
Full paper MARMOT: A Toolkit for Translation Quality Estimation at the Word Level
Bibtex @InProceedings{LOGACHEVA16.1054,
  author = {Varvara Logacheva and Chris Hokamp and Lucia Specia},
  title = {MARMOT: A Toolkit for Translation Quality Estimation at the Word Level},
  booktitle = {Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)},
  year = {2016},
  month = {may},
  date = {23-28},
  location = {Portoro┼ż, Slovenia},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Sara Goggi and Marko Grobelnik and Bente Maegaard and Joseph Mariani and Helene Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  address = {Paris, France},
  isbn = {978-2-9517408-9-1},
  language = {english}
 }
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