Stanford university s submissions to the WMT 2014 translation task

Proceedings of the Annual Meeting of the Association for Computational Linguistics

Volumn , Issue , 2014, Pages 150-156

  Neidert, Julia ^a   Schuster, Sebastian ^a   Green, Spence ^a   Heafield, Kenneth ^a   Manning, Christopher D ^a  

^a Stanford University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; COMPUTER AIDED LANGUAGE TRANSLATION; NATURAL LANGUAGE PROCESSING SYSTEMS;

CONSTRAINED SYSTEMS; FEATURES SETS; FRENCH-ENGLISH; LANGUAGE MODEL; STANFORD; STANFORD UNIVERSITY; STATISTICAL MACHINE TRANSLATION;

MACHINE TRANSLATION;

EID: 84921664365     PISSN: 0736587X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (30)

1. Anne Abeillé, Lionel Clément, and Alexandra Kinyon, 2003. Building a treebank for French, chapter 10. Kluwer.
2. Timothy C. Bell, John G. Cleary, and Ian H. Witten. 1990. Text compression. Prentice-Hall.
3. Ergun Biçici and Deniz Yuret. 2011. Instance selection for machine translation using feature decay algorithms. In WMT.
4. Christian Buck, Kenneth Heafield, and Bas van Ooyen. 2014. N-gram counts and language models from the common crawl. In LREC.
5. Stanley Chen and Joshua Goodman. 1998. An empirical study of smoothing techniques for language modeling. Technical Report TR-10-98, Harvard University, August.
6. Marie-Catherine De Marneffe, Bill MacCartney, Christopher D Manning, et al. 2006. Generating typed dependency parses from phrase structure parses. In LREC.
7. Michel Galley and Christopher D. Manning. 2008. A simple and effective hierarchical phrase reordering model. In EMNLP.
8. Spence Green, Daniel Cer, Kevin Reschke, Rob Voigt, John Bauer, Sida Wang, et al. 2013a. Feature-rich phrase-based translation: Stanford University?s submission to the WMT 2013 translation task. In WMT.
9. Spence Green, Marie-Catherine de Marneffe, and Christopher D. Manning. 2013b. Parsing models for identifying multiword expressions. Computational Linguistics, 39(1):195?227.
10. Spence Green, Sida Wang, Daniel Cer, and Christopher D. Manning. 2013c. Fast and adaptive online training of feature-rich translation models. In ACL.
11. Spence Green, Daniel Cer, and Christopher D. Manning. 2014a. An empirical comparison of features and tuning for phrase-based machine translation. In WMT.
12. Spence Green, Daniel Cer, and Christopher D. Manning. 2014b. Phrasal: A toolkit for new directions in statistical machine translation. In WMT.
13. Kenneth Heafield, Ivan Pouzyrevsky, Jonathan H. Clark, and Philipp Koehn. 2013. Scalable modified Kneser-Ney language model estimation. In ACL.
14. Kenneth Heafield. 2011. KenLM: Faster and smaller language model queries. In WMT.
15. Reinhard Kneser and Hermann Ney. 1995. Improved backing-off for m-gram language modeling. In ICASSP.
16. Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, et al. 2007. Moses: Open source toolkit for statistical machine translation. In ACL, Demonstration Session.
17. Philipp Koehn. 2005. Europarl: A parallel corpus for statistical machine translation. In Proceedings of MT Summit.
18. Shankar Kumar and William Byrne. 2004. Minimum bayes-risk decoding for statistical machine translation. In HLT-NAACL.
19. John D. Lafferty, Andrew McCallum, and Fernando C. N. Pereira. 2001. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In ICML.
20. Uri Lerner and Slav Petrov. 2013. Source-side classifier preordering for machine translation. In EMNLP.
21. Percy Liang, Ben Taskar, and Dan Klein. 2006. Alignment by agreement. In NAACL.
22. Lucian Vlad Lita, Abe Ittycheriah, Salim Roukos, and Nanda Kambhatla. 2003.TRuEcasIng. In ACL.
23. Mitchell P Marcus, Mary Ann Marcinkiewicz, and Beatrice Santorini. 1993. Building a large annotated corpus of English: The Penn Treebank. Computational Linguistics, 19:313?330.
24. Preslav Nakov, Francisco Guzman, and Stephan Vogel. 2012. Optimizing for sentence-level BLEU+1 yields short translations. In COLING.
25. Franz Josef Och and Hermann Ney. 2004. The alignment template approach to statistical machine translation. Computational Linguistics, 30(4):417?449.
26. Robert Parker, David Graff, Junbo Kong, Ke Chen, and Kazuaki Maeda. 2011. English gigaword fifth edition, june. Linguistic Data Consortium, LDC2011T07.
27. Jason Smith, Hervé Saint-Amand, Magdalena Plamada, Philipp Koehn, Chris Callison-Burch, and Adam Lopez. 2013. Dirt cheap web-scale parallel text from the common crawl. In ACL. Association for Computational Linguistics, August.
28. Andreas Stolcke. 2002. SRILM?an extensible language modeling toolkit. In ICLSP.
29. Jakob Uszkoreit and Thorsten Brants. 2008. Distributed word clustering for large scale class-based language modeling in machine translation. In ACL.
30. EdW. D. Whittaker and Philip C.Woodland. 2001. Efficient class-based language modelling for very large vocabularies. In ICASSP.