Shef-nn: Translation quality estimation with neural networks

10th Workshop on Statistical Machine Translation, WMT 2015 at the 2015 Conference on Empirical Methods in Natural Language Processing, EMNLP 2015 - Proceedings

Volumn , Issue , 2015, Pages 342-347

  Shah, Kashif ^a   Logacheva, Varvara ^a   Paetzold, Gustavo Henrique ^a   Blain, Frederic ^a   Beck, Daniel ^a   Bougares, Fethi ^b   Specia, Lucia ^a  

^a UNIVERSITY OF SHEFFIELD   (United Kingdom)

^b UNIVERSITÉ DU MAINE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

EMBEDDINGS;

BAG-OF-WORDS MODELS; CONTINUOUS SPACES; EMBEDDINGS; LANGUAGE MODEL; NEURAL-NETWORKS; QUALITY ESTIMATION; TRANSLATION QUALITY;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 85010202772     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. Daniel Beck, Kashif Shah, Trevor Cohn, and Lucia Specia. 2013. Shef-lite: When less is more for translation quality estimation. Proceedings of WMT13.
2. Yoshua Bengio, Réjean Ducharme, Pascal Vincent, and Christian Janvin. 2003. A neural probabilistic language model. The Journal of Machine Learning Research.
3. John D. Lafferty, Andrew McCallum, and Fernando C. N. Pereira. 2001. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In Proceedings of the 18th ICML.
4. Tomas Mikolov, Quoc V Le, and Ilya Sutskever. 2013a. Exploiting similarities among languages for machine translation.
5. Tomas Mikolov, Wen-tau Yih, and Geoffrey Zweig. 2013b. Linguistic regularities in continuous space word representations. In Proceedings of NAACL 2013.
6. Robert C Moore and William Lewis. 2010. Intelligent selection of language model training data. In Proceedings of the 48th ACL.
7. Andreas C. Müller and Sven Behnke. 2014. pystruct -learning structured prediction in python. Journal of Machine Learning Research.
8. Franz Josef Och and Hermann Ney. 2003. A systematic comparison of various statistical alignment models. Computational Linguistics.
9. Naoaki Okazaki. 2007. CRFsuite: A fast implementation of Conditional Random Fields. http://www.chokkan.org/software/crfsuite/.
10. F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, and E. Duchesnay. 2011. Scikit-learn: Machine learning in Python. Journal of Machine Learning Research.
11. Holger Schwenk and Jean-Luc Gauvain. 2005. Training neural network language models on very large corpora. In Proceedings of the Conference on Human Language Technology and Empirical Methods in Natural Language Processing.
12. Holger Schwenk. 2007. Continuous space language models. Computer Speech & Language.
13. Holger Schwenk. 2012. Continuous space translation models for phrase-based statistical machine translation. In Proceedings of COLING.
14. Kashif Shah, Eleftherios Avramidis, Ergun Biçicic, and Lucia Specia. 2013a. Quest - design, implementation and extensions of a framework for machine translation quality estimation. Prague Bull. Math. Linguistics.
15. Kashif Shah, Trevor Cohn, and Lucia Specia. 2013b. An investigation on the effectiveness of features for translation quality estimation. In Proceedings of the Machine Translation Summit.
16. Lucia Specia, Kashif Shah, José G. C. de Souza, and Trevor Cohn. 2013. QuEst - A translation quality estimation framework. In Proceedings of 51st ACL.
17. Lucia Specia, Gustavo H. Paetzold, and Carolina Scarton. 2015. Multi-level translation quality prediction with quest++. In Proceedings of The 53rd ACL.