MARMOT: A Toolkit for Translation Quality Estimation at the Word Level

Varvara Logacheva, Chris Hokamp, 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 https://github.com/qe-team/marmot/
Anthology ID:
L16-1582
Volume:
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
Month:
May
Year:
2016
Address:
Portorož, Slovenia
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Sara Goggi, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
3671–3674
Language:
URL:
https://aclanthology.org/L16-1582
DOI:
Bibkey:
Cite (ACL):
Varvara Logacheva, Chris Hokamp, and Lucia Specia. 2016. MARMOT: A Toolkit for Translation Quality Estimation at the Word Level. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 3671–3674, Portorož, Slovenia. European Language Resources Association (ELRA).
Cite (Informal):
MARMOT: A Toolkit for Translation Quality Estimation at the Word Level (Logacheva et al., LREC 2016)
Copy Citation:
PDF:
https://aclanthology.org/L16-1582.pdf
Code
 qe-team/marmot