Casict-dcu participation in wmt2015 metrics task

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 417-421

  Yu, Hui ^a   Ma, Qingsong ^a   Wu, Xiaofeng ^b   Liu, Qun ^a,b  

^a INSTITUTE OF COMPUTING TECHNOLOGY   (China)

^b DUBLIN CITY UNIVERSITY   (Ireland)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS;

COMBINED METRICS; DEPENDENCY PARSING; EVALUATION METRICS; MACHINE TRANSLATION EVALUATIONS; PERFORMANCE; SENTENCE LEVEL; SUB-STRUCTURES; SYSTEM LEVEL EVALUATION; SYSTEM LEVELS;

SYNTACTICS;

EID: 84986305209     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. Yee Seng Chan and Hwee Tou Ng. 2008. Maxsim: A maximum similarity metric for machine translation evaluation. In Proceedings of ACL-08: HLT, pages 55-62.
2. Elisabet Comelles and Jordi Atserias. 2014. Verta participation in the wmt14 metrics task. In Proceedings of the Ninth Workshop on Statistical Machine Translation, pages 368-375, Baltimore, Maryland, USA, June. Association for Computational Linguistics.
3. George Doddington. 2002. Automatic evaluation of machine translation quality using n-gram cooccurrence statistics. In Proceedings of the Second International Conference on Human Language Technology Research, HLT '02, pages 138-145, San Francisco, CA, USA. Morgan Kaufmann Publishers Inc.
4. Jesús Giménez and Lluís Màrquez. 2010. Asiya: An Open Toolkit for Automatic Machine Translation (Meta-)Evaluation. The Prague Bulletin of Mathematical Linguistics, (94):77-86.
5. Meritxell Gonzàlez, Alberto Barrón-Cedeño, and Lluís Màrquez. 2014. Ipa and stout: Leveraging linguistic and source-based features for machine translation evaluation. In Proceedings of the Ninth Workshop on Statistical Machine Translation, pages 394-401, Baltimore, Maryland, USA, June. Association for Computational Linguistics.
6. Shafiq Joty, Francisco Guzmán, Lluís Màrquez, and Preslav Nakov. 2014. Discotk: Using discourse structure for machine translation evaluation. In Proceedings of the Ninth Workshop on Statistical Machine Translation, pages 402-408, Baltimore, Maryland, USA, June. Association for Computational Linguistics.
7. Alon Lavie and Abhaya Agarwal. 2007. Meteor: An automatic metric for mt evaluation with high levels of correlation with human judgments. In Proceedings of the Second Workshop on Statistical Machine Translation, StatMT '07, pages 228-231, Stroudsburg, PA, USA. Association for Computational Linguistics.
8. Ding Liu and Daniel Gildea. 2005. Syntactic features for evaluation of machine translation.
9. Dennis Mehay and Chris Brew. 2007. BLEUATRE: Flattening Syntactic Dependencies for MT Evaluation. In Proceedings of the 11th Conference on Theoretical and Methodological Issues in Machine Translation (TMI).
10. Karolina Owczarzak, Josef van Genabith, and Andy Way. 2007. Evaluating machine translation with lfg dependencies. Machine Translation, 21(2):95-119, June.
11. K. Papineni, S. Roukos, T. Ward, and W.J. Zhu. 2002. BLEU: A method for automatic evaluation of machine translation. In Proceedings of the 40th annual meeting on association for computational linguistics, pages 311-318. Association for Computational Linguistics.
12. Milos Stanojevic and Khalil Sima'an. 2014. Beer: Better evaluation as ranking. In Proceedings of the Ninth Workshop on Statistical Machine Translation, pages 414-419, Baltimore, Maryland, USA, June. Association for Computational Linguistics.
13. Hui Yu, XiaofengWu, Jun Xie, Wenbin Jiang, Qun Liu, and Shouxun Lin. 2014. Red: A reference dependency based mt evaluation metric. In Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers, pages 2042-2051, Dublin, Ireland, August. Dublin City University and Association for Computational Linguistics.
14. Hui Yu, Xiaofeng Wu, Wenbin Jiang, Qun Liu, and Shouxun Lin. 2015a. An Automatic Machine Translation Evaluation Metric Based on Dependency Parsing Model. ArXiv e-prints, August.
15. Hui Yu, Xiaofeng Wu, Wenbin Jiang, Qun Liu, and Shouxun Lin. 2015b. Improve the Evaluation of Translation Fluency by Using Entropy of Matched Sub-segments. ArXiv e-prints, August.
16. Junguo Zhu, Muyun Yang, Bo Wang, Sheng Li, and Tiejun Zhao. 2010. All in strings: A powerful stringbased automatic mt evaluation metric with multiple granularities. In Proceedings of the 23rd International Conference on Computational Linguistics: Posters, COLING '10, pages 1533-1540, Stroudsburg, PA, USA. Association for Computational Linguistics.