Representation based translation evaluation metrics

ACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, Proceedings of the Conference

Volumn 2, Issue , 2015, Pages 150-155

  Chen, Boxing ^a   Guo, Hongyu ^a  

^a NATIONAL RESEARCH COUNCIL CANADA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; LEARNING ALGORITHMS; LINGUISTICS; TRANSLATION (LANGUAGES);

DISTRIBUTED REPRESENTATION; EVALUATION METRICS; LARGE MARGINS; STATE OF THE ART; UNLABELED DATA; WORD ORDERS;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84944052947     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/v1/p15-2025     Document Type: Conference Paper

References (17)

1. Satanjeev Banerjee and Alon Lavie. 2005. METEOR: An automatic metric for MT evaluation with im-proved correlation with human judgments. In Pro-ceedings of the ACL Workshop on Intrinsic and Ex-trinsic Evaluation Measures for Machine Transla-tion and/or Summarization, pages 65-72, Ann Ar-bor, Michigan, June. Association for Computational Linguistics
2. Yoshua Bengio, Rejean Ducharme, Pascal Vincent, and Christian Janvin. 2003. A neural probabilistic lan-guage model. J. Mach. Learn. Res., 3:1137-1155, March
3. Colin Cherry and Hongyu Guo. 2015. The unreason-able effectiveness of word representations for twit-ter named entity recognition. In Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Hu-man Language Technologies
4. Michael Denkowski and Alon Lavie. 2014. Meteor universal: Language specific translation evaluation for any target language. In Proceedings of the Ninth Workshop on Statistical Machine Translation, pages 376-380, Baltimore, Maryland, USA, June. Associ-ation for Computational Linguistics
5. G. Doddington. 2002. Authomatic evaluation of machine translation quality using n-gram co-occurrence statistics. In Proceedings of the Human Language Technology Conference, page 128132, San Diego, CA
6. Chi-kiu Lo and Dekai Wu. 2011. Meant: An inexpen-sive, high-accuracy, semi-automatic metric for eval-uating translation utility based on semantic roles. In Proceedings of the 49th Annual Meeting of the Asso-ciation for Computational Linguistics: Human Lan-guage Technologies, pages 220-229, Portland, Ore-gon, USA, June. Association for Computational Lin-guistics
7. Matous Machacek and Ondrej Bojar. 2013. Results of the WMT13 metrics shared task. In Proceedings of the Eighth Workshop on Statistical Machine Trans-lation, pages 45-51, Sofia, Bulgaria, August. Asso-ciation for Computational Linguistics
8. Tomas Mikolov, Ilya Sutskever, Kai Chen, Gregory S. Corrado, and Jeffrey Dean. 2013. Distributed rep-resentations of words and phrases and their com-positionality. In Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Pro-ceedings of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States., pages 3111-3119.
9. George A. Miller. 1995. Wordnet: A lexical database for english. Comunications of the ACM, 38:39-41
10. Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002. BLEU: A method for automatic evaluation of Machine Translation. In Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL), pages 311-318, Philadelphia, July. ACL
11. W. Press, S. Teukolsky, W. Vetterling, and B. Flannery. 2002. Numerical Recipes in C++. Cambridge Uni-versity Press, Cambridge, UK
12. Matthew Snover, Bonnie Dorr, Richard Schwartz, Lin-nea Micciulla, and John Makhoul. 2006. A study of translation edit rate with targeted human annotation. In Proceedings of Association for Machine Transla-tion in the Americas
13. Matthew G. Snover, Nitin Madnani, Bonnie Dorr, and Richard Schwartz. 2009. Ter-plus: Paraphrase, se-mantic, and alignment enhancements to translation edit rate. In Machine Translation, volume 23, pages 117-127
14. Richard Socher, Jeffrey Pennington, Eric H. Huang, Andrew Y. Ng, and Christopher D. Manning. 2011. Semi-supervised recursive autoencoders for predict-ing sentiment distributions. In Proceedings of the Conference on Empirical Methods in Natural Lan-guage Processing, EMNLP '11, pages 151-161, Stroudsburg, PA, USA. Association for Computa-tional Linguistics
15. Richard Socher, Alex Perelygin, Jean Y Wu, Jason Chuang, Christopher D Manning, Andrew Y Ng, and Christopher Potts Potts. 2013. Recursive deep models for semantic compositionality over a senti-ment treebank. In EMNLP
16. J. Turian, L. Ratinov, and Y. Bengio. 2010. Word rep-resentations: A simple and general method for semi-supervised learning. In ACL, pages 384-394
17. Will Y. Zou, Richard Socher, Daniel Cer, and Christo-Pher D. Manning. 2013. Bilingual word embed-dings for phrase-based machine translation. In Pro-ceedings of the 2013 Conference on Empirical Meth-ods in Natural Language Processing, pages 1393-1398, Seattle, Washington, USA, October. Associa-tion for Computational Linguistics