Báo cáo khoa học: "Distortion Models For Statistical Machine Translation" doc

Báo cáo khoa học: "Distortion Models For Statistical Machine Translation" doc

Báo cáo khoa học: "Distortion Models For Statistical Machine Translation" doc

... the ACL, pages 529–536, Sydney, July 2006. c 2006 Association for Computational Linguistics Distortion Models For Statistical Machine Translation Yaser Al-Onaizan and Kishore Papineni IBM T.J. ... for the experiments reported here is the same as the one used for other experiments reported in this paper. The results in Table 3 illustrate how the language model performs reasonabl...
Ngày tải lên : 08/03/2014, 02:21
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Tài liệu Báo cáo khoa học: "Corpus Expansion for Statistical Machine Translation with Semantic Role Label Substitution Rules" doc

Tài liệu Báo cáo khoa học: "Corpus Expansion for Statistical Machine Translation with Semantic Role Label Substitution Rules" doc

... Association for Computational Linguistics:shortpapers, pages 294–298, Portland, Oregon, June 19-24, 2011. c 2011 Association for Computational Linguistics Corpus Expansion for Statistical Machine ... SSRs. Notice that for each new sentence generated, we al- low for application of only one substitution. Although the idea is straightforward, we face two problems in practice. Firs...
Ngày tải lên : 20/02/2014, 04:20
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Tài liệu Báo cáo khoa học: "Clause Restructuring for Statistical Machine Translation" ppt

Tài liệu Báo cáo khoa học: "Clause Restructuring for Statistical Machine Translation" ppt

... smorgasbord of features for statistical machine translation. In Proceedings of HLT- NAACL 2004. Och, F. J., Tillmann, C., and Ney, H. (1999). Improved align- ment models for statistical machine translation. ... (2002). A phrase-based, joint proba- bility model for statistical machine translation. In Proceed- ings of EMNLP 2002. Melamed, I. D. (2004). Statistical machine...
Ngày tải lên : 20/02/2014, 15:20
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Báo cáo khoa học: "Transductive learning for statistical machine translation" potx

Báo cáo khoa học: "Transductive learning for statistical machine translation" potx

... ad- ditional models is performed. The system generates a 5,000-best list of alternative translations for each source sentence. These lists are rescored with the following models: (a) the different models ... 25–32, Prague, Czech Republic, June 2007. c 2007 Association for Computational Linguistics Transductive learning for statistical machine translation Nicola Ueffing National...
Ngày tải lên : 08/03/2014, 02:21
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Báo cáo khoa học: "Paraphrase Lattice for Statistical Machine Translation" ppt

Báo cáo khoa học: "Paraphrase Lattice for Statistical Machine Translation" ppt

... pages 1–5, Uppsala, Sweden, 11-16 July 2010. c 2010 Association for Computational Linguistics Paraphrase Lattice for Statistical Machine Translation Takashi Onishi and Masao Utiyama and Eiichiro ... dev2 and dev3) for development and testing. We used the dev1 set for parameter tuning, the dev2 set for choosing the setting of the proposed method, which is described below, and th...
Ngày tải lên : 17/03/2014, 00:20
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Báo cáo khoa học: "Error Detection for Statistical Machine Translation Using Linguistic Features" pptx

Báo cáo khoa học: "Error Detection for Statistical Machine Translation Using Linguistic Features" pptx

... the Association for Computational Linguistics, pages 604–611, Uppsala, Sweden, 11-16 July 2010. c 2010 Association for Computational Linguistics Error Detection for Statistical Machine Translation ... incorrect parts from correct parts is therefore very desir- able not only for post-editing and interactive ma- chine translation (Ueffing and Ney, 2007) but also for SMT itself: ei...
Ngày tải lên : 23/03/2014, 16:20
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Báo cáo khoa học: "Variational Decoding for Statistical Machine Translation" pptx

Báo cáo khoa học: "Variational Decoding for Statistical Machine Translation" pptx

... ACL and AFNLP Variational Decoding for Statistical Machine Translation Zhifei Li and Jason Eisner and Sanjeev Khudanpur Department of Computer Science and Center for Language and Speech Processing Johns ... collapsing spurious ambiguity for other tasks as well. Such tasks include data- oriented parsing (DOP), applications of Hidden Markov Models (HMMs) and mixture models, and oth...
Ngày tải lên : 23/03/2014, 16:21
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Báo cáo khoa học: "Computational Complexity of Statistical Machine Translation" doc

Báo cáo khoa học: "Computational Complexity of Statistical Machine Translation" doc

... models which have become to be known in the field of machine translation as IBM models. For a detailed introduction to IBM trans- lation models, please see (Brown et al., 1993). In practice, models ... NP-Hard for IBM Models 3, 4, and 5. 2. Expectation Evaluation in EM Iterations is #P-Complete for IBM Models 3, 4, and 5. 3. Conditional Probability computation is #P-Complete...
Ngày tải lên : 31/03/2014, 20:20
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Báo cáo khoa học: "Fertility Models for Statistical Natural Language Understanding" pdf

Báo cáo khoa học: "Fertility Models for Statistical Natural Language Understanding" pdf

... in- crease in performance of about 2-3% for most mod- els. For General-LM, results increased by 8-10%. The Poisson and general fertility models show a 2- 5% gain in performance over the basic ... translation probabilities are shown for the unigram and headword models in table 2. The formal language words have captured reason- able English words for their most likely transla-...
Ngày tải lên : 08/03/2014, 21:20
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Báo cáo khoa học: "Generative Models for Statistical Parsing with Combinatory Categorial Grammar" pptx

Báo cáo khoa học: "Generative Models for Statistical Parsing with Combinatory Categorial Grammar" pptx

... ap- propriate for a formalism like CCG with a large set of lexical categories than one generic token for all unknown words. The performance of the baseline model is shown in the top row of table 3. For ... probability models for a wide- coverage Combinatory Categorial Gram- mar (CCG) parser. These models are trained and tested on a corpus obtained by translating the Penn Treebank...
Ngày tải lên : 31/03/2014, 06:20
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