Tài liệu Báo cáo khoa học: "A Localized Prediction Model for Statistical Machine Translation" ppt

Tài liệu Báo cáo khoa học: "A Localized Prediction Model for Statistical Machine Translation" ppt

Tài liệu Báo cáo khoa học: "A Localized Prediction Model for Statistical Machine Translation" ppt

... ACL, pages 557–564, Ann Arbor, June 2005. c 2005 Association for Computational Linguistics A Localized Prediction Model for Statistical Machine Translation Christoph Tillmann and Tong Zhang IBM ... @us.ibm.com Abstract In this paper, we present a novel training method for a localized phrase-based predic- tion model for statistical machine translation (SMT). The mod...

Ngày tải lên: 20/02/2014, 15:20

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Tài liệu Báo cáo khoa học: "A Hybrid Hierarchical Model for Multi-Document Summarization" ppt

Tài liệu Báo cáo khoa học: "A Hybrid Hierarchical Model for Multi-Document Summarization" ppt

... paper, we formulate ex- tractive summarization as a two step learn- ing problem building a generative model for pattern discovery and a regression model for inference. We calculate scores for sentences ... approaches for MDS as presented in this paper. In this paper, we present a novel approach that formulates MDS as a prediction problem based on a two-step hybrid model: a gene...

Ngày tải lên: 20/02/2014, 04:20

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Tài liệu Báo cáo khoa học: "A Phonotactic Language Model for Spoken Language Identification" pptx

Tài liệu Báo cáo khoa học: "A Phonotactic Language Model for Spoken Language Identification" pptx

... June 2005. c 2005 Association for Computational Linguistics A Phonotactic Language Model for Spoken Language Identification Haizhou Li and Bin Ma Institute for Infocomm Research Singapore ... acoustic to- kens to form a unified acoustic vocabulary in our voice tokenizer. Readers are referred to (Ma et al. , 2005) for details of acoustic modeling. 3.1 Vector Space Modeling...

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Tài liệu Báo cáo khoa học: "Refined Lexicon Models for Statistical Machine Translation using a Maximum Entropy Approach" pptx

Tài liệu Báo cáo khoa học: "Refined Lexicon Models for Statistical Machine Translation using a Maximum Entropy Approach" pptx

... Refined Lexicon Models for Statistical Machine Translation using a Maximum Entropy Approach Ismael Garc ´ ıa Varea Dpto. de Inform´atica Univ. de Castilla-La Mancha Campus ... Spain fcn@iti.upv.es Abstract Typically, the lexicon models used in statistical machine translation systems do not include any kind of linguistic or contextual information, which often leads to problems in perf...

Ngày tải lên: 20/02/2014, 18:20

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Tài liệu Báo cáo khoa học: "ADP based Search Algorithm for Statistical Machine Translation" docx

Tài liệu Báo cáo khoa học: "ADP based Search Algorithm for Statistical Machine Translation" docx

... experimental results for a bilingual cor- pus are reported. 1.1 Statistical Machine Translation In statistical machine translation, the goal of the search strategy can be formulated as follows: ... underlying translation model is Model 2 from (Brown et al., 1993). (Wu, 1996) formulates a DP search for stochastic bracketing transduction grammars. The bigram lan- guage...

Ngày tải lên: 20/02/2014, 18:20

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Tài liệu Báo cáo khoa học: "A Unified Graph Model for Sentence-based Opinion Retrieval" pdf

Tài liệu Báo cáo khoa học: "A Unified Graph Model for Sentence-based Opinion Retrieval" pdf

... of the Association for Computational Linguistics, pages 1367–1375, Uppsala, Sweden, 11-16 July 2010. c 2010 Association for Computational Linguistics A Unified Graph Model for Sentence-based ... relevant to the target concerned. Therefore, we argue that existing information representation i.e. bag-of-word, cannot satisfy the information needs for opinion retrieval. In this pape...

Ngày tải lên: 20/02/2014, 04:20

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Tài liệu Báo cáo khoa học: "A probabilistic generative model for an intermediate constituency-dependency representation" pptx

Tài liệu Báo cáo khoa học: "A probabilistic generative model for an intermediate constituency-dependency representation" pptx

... re-ranking model performs rather well for a limited number of candidate structures, and out- performs Charniak’s model when k = 5. In this case we observe a small boost in performance for the detection ... consistently outper- forms the PCFG model on this metric, as for UAS, and BAS. Concerning the other metrics, as the number of k-best candidates increases, the PCFG model outpe...

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Tài liệu Báo cáo khoa học: "A SPEECH-FIRST MODEL FOR REPAIR DETECTION AND CORRECTION" docx

Tài liệu Báo cáo khoa học: "A SPEECH-FIRST MODEL FOR REPAIR DETECTION AND CORRECTION" docx

... llWe also included utterance-final boundaries as data points. 12We used uniform measures for prediction, however, for both repair sites and fluent regions. utterance test set. This procedure ... this paper, we have presented a"speech-first" model, the Repair Interval Model, for studying repairs in spon- taneous speech. This model divides the repair event into a re...

Ngày tải lên: 20/02/2014, 21:20

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Tài liệu Báo cáo khoa học: "Incremental Syntactic Language Models for Phrase-based Translation" pptx

Tài liệu Báo cáo khoa học: "Incremental Syntactic Language Models for Phrase-based Translation" pptx

... source toolkit for statistical machine translation. In Proceed- ings of the 45th Annual Meeting of the Association for Computational Linguistics, pages 177–180. Philipp Koehn. 2010. Statistical Machine ... Daniel Gildea. 2008. Parsers as language models for statistical machine translation. In Proceed- ings of the Eighth Conference of the Association for Machine Translati...

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Tài liệu Báo cáo khoa học: "EXPERIMENTS AND PROSPECTS OF EXAMPLE-BASED MACHINE TRANSLATION" ppt

Tài liệu Báo cáo khoa học: "EXPERIMENTS AND PROSPECTS OF EXAMPLE-BASED MACHINE TRANSLATION" ppt

... deal with a difficult translation problem for conventional Rule-Based Machine Translation (RBMT), i.e., translating Japanese noun phrases of the form "N~ no N2" into English. The ... ~", ) • noun phrases of the form '~1 no N2" • sentences of the form "N~ wa N 2 da" • sentences lacking the main verb (eg. sentences of the form "~ o-negaishimasu...

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