... Lexicon Models for Statistical Machine Translation using a Maximum Entropy Approach Ismael Garc ´ a Varea Dpto. de Inform´atica Univ. de Castilla-La Mancha Campus Universitario s/n 02071 Albacete, ... 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 ... Stephan Vogel, Hermann Ney, and Christoph Tillmann. 1998. A DP-based search algorithm for statistical machine translation. In COLING-ACL ’98: 36th Annual Meeting of the As- sociation for Computational...
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... the task of text classification in a Bayesian learning framework. This approach assumes that the text data was generated by a parametric model, and uses training data to calculate Bayes-optimal ... | s=1 |D| i=1 N is P(c j |d i ) . (6) The class prior parameters are calculated as before accordingtoEquation4. Classification Given estimates of these parameters calculated from the training documents, classification can be performed ... Machine Learning, 1997. Pat Langley, Wayne Iba, and Kevin Thompson. An anal- ysis of Bayesian classifiers. In AAAI-92, 1992. Leah S. Larkey and W. Bruce Croft. Combining classifiers in text categorization....
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... withdrawal of the Treaty (start) North Korea as of today. ” Out2 The diplomat said that the ” withdrawal of (North Korea of the treaty) will start as of today ”. Input (Ar) snrfE *lk AmAm Almjls Aldstwry”. Ref. ... Kather- ine Eng, Viren Jain, Zhen Jin, and Dragomir Radev. 2004. A Smorgasbord of Features for Statistical Machine Translation. In Daniel Marcu Susan Du- mais and Salim Roukos, editors, HLT-NAACL ... 2002. BLEU: a Method for Automatic Evaluation of machine translation. In 40th Annual Meeting of the Association for Computational Lin- guistics (ACL 02), pages 311–318, Philadelphia, PA, July. Christoph...
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... and target lan- guages. Another class of approaches make use of syn- tactic information in the target language alone, treating the translation problem as a parsing prob- lem. Yamada and Knight ... treating translation as a pro- cess of parallel parsing of the source and tar- get language via a synchronized grammar. Al- shawi et al. (2000) represent each production in parallel dependency tree as ... trans- lation models (Brown et al., 1993) 1 by model- ing translations of phrases rather than individual words, have been suggested to be the state -of- the- art in statistical machine translation...
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... statistical machine translation. Natural Language Engineering. To appear. Daniel Marcu and William Wong. 2002. A phrase- based, joint probability model for statistical machine translation. In ... Linguistics A Hierarchical Phrase-Based Model for Statistical Machine Translation David Chiang Institute for Advanced Computer Studies (UMIACS) University of Maryland, College Park, MD 20742, USA dchiang@umiacs.umd.edu Abstract We ... Stochastic inversion transduction grammars and bilingual parsing of parallel corpora. Computational Linguistics, 23:377–404. Kenji Yamada and Kevin Knight. 2001. A syntax-based statistical translation...
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... Chiang. 2005. A hierarchical phrase-based model for statistical machine translation. In Proc. of the 43rd Annual Meeting of the ACL (ACL-2005), pages 263– 270, Ann Arbor, Michigan, June. David ... phrase-based translation. In Proc. of the 3rd International Conference on Human Language Technology Research and 4th Annual Meeting of the NAACL (HLT-NAACL 2003), pages 81–88, Edmonton, Canada, May. Philip ... Taiwan, August. Franz Josef Och. 2003. Minimum error rate training in statistical machine translation. In Proc. of the 41st An- nual Meeting of the ACL (ACL-2003), pages 160–167, Sapporo, Japan. Slav...
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... SPMT: statistical machine translation with syn- tactified target language phrases. EMNLP-06. 44-52. Franz J. Och and Hermann Ney. 2004. The alignment template approach to statistical machine translation. ... Tree-to- String Alignment Template for Statistical Machine Translation. ACL-06, 609-616 Yang Liu, Yun Huang, Qun Liu and Shouxun Lin. 2007. Forest-to-String Statistical Translation Rules. ACL-07. ... statistical translation model. ACL-01. 523-530 Min Zhang, Hongfei Jiang, AiTi Aw, Jun Sun, Sheng Li and Chew Lim Tan. 2007. A tree-to-tree alignment- based model for statistical machine translation. ...
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Tài liệu Báo cáo khoa học: "A Ranking-based Approach to Word Reordering for Statistical Machine Translation" doc
... 271-279. A. Ramanathan, Pushpak Bhattacharyya, Jayprasad Hegde, Ritesh M. Shah and Sasikumar M. 2008. Simple syntactic and morphological processing can help English-Hindi Statistical Machine Translation. In ... restructuring for statistical machine translation. In Proc. ACL. R E. Fan, K W. Chang, C J. Hsieh, X R. Wang, and C J. Lin. 2008. LIBLINEAR: A library for large lin- ear classification. In Journal of Machine ... Machine Translation: From Single Word Models to Alignment Template. Ph.D.Thesis, RWTH Aachen, Germany Franz J. Och and Hermann Ney. 2003. A Systematic Comparison of Various Statistical Alignment Models. Computational...
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... Linguistics Combination of Arabic Preprocessing Schemes for Statistical Machine Translation Fatiha Sadat Institute for Information Technology National Research Council of Canada fatiha.sadat@cnrc-nrc.gc.ca Nizar Habash Center ... for Phrase-based Statistical Machine Translation Mod- els. In Proc. of the Association for Machine Trans- lation in the Americas (AMTA). P. Koehn. 2004b. Statistical Significance Tests for Machine Translation ... Proc. of Associa- tion for Computational Linguistics (ACL), Ann Ar- bor, Michigan. N. Habash and F. Sadat. 2006. Arabic Preprocess- ing Schemes for Statistical Machine Translation. In Proc. of NAACL,...
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Tài liệu Báo cáo khoa học: "A Localized Prediction Model for Statistical Machine Translation" ppt
... block-based model for statis- tical machine translation. A block is a pair of phrases which are translations of each other. For example, Fig. 1 shows an Arabic-English translation example that uses blocks. ... Automatic Evaluation of machine translation. In Proc. of the 40th Annual Conf. of the Association for Computa- tional Linguistics (ACL 02), pages 311–318, Philadel- phia, PA, July. Charles Schafer and David Yarowsky. ... Boston, MA, May. Christoph Tillmann and Fei Xia. 2003. A Phrase-based Unigram Model for Statistical Machine Translation. In Companian Vol. of the Joint HLT and NAACL Confer- ence (HLT 03), pages...
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... Learning Research, 9:1871–1874, June. Jan Haji ˇ c, Massimiliano Ciaramita, Richard Johansson, Daisuke Kawahara, Maria Ant ` onia Mart ´ ı, Llu ´ ıs M ` arquez, Adam Meyers, Joakim Nivre, Sebastian Pad ´ o, ... dependency parsers). 3 Results Table 3 tabulates efficiency and performance for all parsers; UAS and LAS are unlabeled and labeled at- tachment scores, respectively — the standard crite- ria for evaluating ... reviewers, for valuable comments. Supported in part by the National Natural Science Founda- tion of China (NSFC) via grant 61133012, the National “863” Major Project grant 2011AA0 1A2 07, and the National...
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