large scale discriminative n gram language models for statistical machine translation

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... additional information could be: Simple context information: information of the words surrounding the word pair; Syntactic information: part-of-speech in- formation, syntactic constituent, sentence mood; Semantic ... entropy approach is outlined in Section 3. 2 Statistical Machine Translation The goal of the translation process in statisti- cal machine translation can be formulated as fol- lows: A source language ... Tillmann, S. Vogel, H. Ney, and A. Zubiaga. 1997. A DP-based search using monotone alignments in statistical translation. In Proc. 35th Annual Conf. of the Association for Computational Linguistics, pages...

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... new method eliminating most of the gap between Kneser-Ney and those methods. 1 Introduction Statistical language models are potentially useful for any language technology task that produces natural -language ... is a single unknown probability distribution for the amount of quantization error in every N- gram count. If so, the total quantization error for a given context will tend to be proportional to ... 4- gram language models using English data from the WMT-06 Europarl corpus (Koehn and Monz, 2006). We took 1,003,349 sentences (27,493,499 words) for training, and 2000 sentences each for testing...

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Ngày tải lên: 31/03/2014, 04:20

... Kaufmann, San Fran- cisco, CA. Rion Snow, Brendan O’Connor, Daniel Jurafsky, and Andrew Ng. 2008. Cheap and fast – but is it good? evaluating non-expert annotations for natu- ral language tasks. In ... solicits translations only for trigger n- grams and not for entire sentences. We provide senten- tial context, highlight the trigger n- gram that we want translated, and ask for a translation of just ... Wren Thornton, Jonathan Weese, and Omar Zaidan. 2009. Joshua: An open source toolkit for parsing-based machine translation. In Proceedings of the Fourth Workshop on Statistical Machine Translation, ...

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... 2009. Quadratic-time dependency parsing for machine trans- lation. In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th Interna- tional Joint Conference on Natural Language ... speech recognition, research in statistical machine trans- lation has effectively used n- gram word sequence models as language models. Modern phrase-based translation using large scale n- gram language models ... Proceedings of the Ninth Ma- chine Translation Summit of the International Associ- ation for Machine Translation. Ciprian Chelba and Frederick Jelinek. 1998. Exploit- ing syntactic structure for language...

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... 2006 Evaluation. In Proc. of International Workshop on Spoken Language Translation, pages 103-110. Arne Mauser, Saˇsa Hasan and Hermann Ney 2009. Ex- tending Statistical Machine Translation with Discrimi- native ... Statistical Machine Translation. In Proc. of ACL 2006, pages 609-616. Yajuan Lv, Jin Huang and Qun Liu. 2007. Improv- ing Statistical Machine Translation Performance by Training Data Selection and Optimization. ... obtain synthetic parallel sen- tences, and Wu et al. (2008) used an in-domain translation dictionary and monolingual corpora to adapt an out-of-domain translation model for the in- domain text. Differing...

Ngày tải lên: 19/02/2014, 19:20

... Chunking. In Proc. CoNLL, pages 63-69. Young-Suk Lee, Bing Zhao and Xiaoqiang Luo. 2010. Constituent reordering and syntax models for English- to-Japanese statistical machine translation. In Proc. Coling. Chi-Ho ... can help English-Hindi Statistical Machine Translation. In Proc. IJCNLP. Roy Tromble. 2009. Search and Learning for the Lin- ear Ordering Problem with an Application to Machine Translation. Ph.D. ... Subject-Object-Verb Languages. In Proc. HLT- NAACL, pages 376-384. Richard Zens and Hermann Ney. 2006. Discriminative Reordering Models for Statistical Machine Transla- tion. In Proc. Workshop on Statistical Machine...

Ngày tải lên: 19/02/2014, 19:20

... Ciprian Chelba, and Franz Och. 2010. Model combination for machine transla- tion. In Human Language Technologies: The 2010 An- nual Conference of the North American Chapter of the Association for ... E. Hinton. 1999. Products of experts. In Artifi- cial Neural Networks, 1999. ICANN 99. Ninth Interna- tional Conference on (Conf. Publ. No. 470), volume 1, pages 1–6. Jing Jiang and ChengXiang Zhai. ... John Benjamins, Amsterdam/Philadelphia. Nicola Ueffing, Gholamreza Haffari, and Anoop Sarkar. 2007. Transductive learning for statistical machine translation. In Proceedings of the 45th Annual...

Ngày tải lên: 19/02/2014, 19:20

... Association for Computational Linguistics Bilingual Sense Similarity for Statistical Machine Translation Boxing Chen, George Foster and Roland Kuhn National Research Council Canada 283 ... string con- sisting of terminal and non-terminal symbols. ~ defines a one-to-one correspondence between non-terminals in α and γ . 1 There has been a lot of work (more details in Section ... performance of Alg2 on Chinese-to-English NIST large data condition and German-to-English WMT task. We can see that IBM model 1 and cosine distance similarity function both obtained significant...

Ngày tải lên: 20/02/2014, 04:20

... models for morpheme segmentation and morphology learn- ing. ACM Transactions on Speech and Language Processing, 4(1):1–34. Sajib Dasgupta and Vincent Ng. 2007. High- performance, language- independent ... SRILM-an extensible language modeling toolkit. In Seventh International Confer- ence on Spoken Language Processing, volume 3. David Talbot and Miles Osborne. 2006. Modelling lexical redundancy for machine ... Pre-Processing for Turkish to English Statistical Machine Translation. In Proc. of the In- ternational Workshop on Spoken Language Transla- tion, pages 129–135, Tokyo, Japan. M.R. Brent. 1999. An efficient,...

Ngày tải lên: 20/02/2014, 04:20

... Koehn, and Miles Os- borne. 2006. Improved statistical machine translation using paraphrases. In Proceedings of the main con- ference on Human Language Technology Conference of the North American ... phrase-based translation models, which can be used directly in translation tasks or combined with base- line models. Experimental results on Chinese- English machine translation tasks show an av- erage ... and William Dolan. 2004. Monolingual machine translation for paraphrase gen- eration. In Proceedings of EMNLP 2004, pages 142– 149, Barcelona, Spain, July. Association for Computa- tional Linguistics. 298 ...

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