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

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

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

... from a natural language ex- pression, E, into an equivalent expression, F, in an unambigous formal language. Typically, this for- mal language will be hand-crafted to enhance per- formance ... in NLU there is a fun- damental asymmetry between the natural language and the unambiguous formal language. Most no- tably, one formal language word may frequently cor- respond to...
Ngày tải lên : 08/03/2014, 21:20
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Báo cáo khoa học: "Active Learning for Statistical Natural Language Parsing" potx

Báo cáo khoa học: "Active Learning for Statistical Natural Language Parsing" potx

... Active Learning for Statistical Natural Language Parsing Min Tang Spoken Language Systems Group MIT Laboratory for Computer Science Cambridge, Massachusetts 02139, ... to achieve a satisfactory performance using active learning. Active learning has been studied in the context of many natural language processing (NLP) applications such as information extraction(Thompson ... ext...
Ngày tải lên : 17/03/2014, 08:20
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Báo cáo khoa học: "Distortion Models For Statistical Machine Translation" doc

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

... language model we use 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 ... re- ordered. Existing statistical machine translation decoders have mostly relied on language models to select the proper word order among many possible choices when translating bet...
Ngày tải lên : 08/03/2014, 02:21
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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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Báo cáo khoa học: "Automated planning for situated natural language generation" pptx

Báo cáo khoa học: "Automated planning for situated natural language generation" pptx

... Association for Computational Linguistics, pages 1573–1582, Uppsala, Sweden, 11-16 July 2010. c 2010 Association for Computational Linguistics Automated planning for situated natural language generation Konstantina ... en- try for “pushes” furthermore uses subj and obj for the subject and object argument, respectively. We combine here for simplicity the entries for “the” an...
Ngày tải lên : 17/03/2014, 00:20
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Báo cáo khoa học: "An Interface for Rapid Natural Language Processing Development in UIMA" potx

Báo cáo khoa học: "An Interface for Rapid Natural Language Processing Development in UIMA" potx

... 139–144, Portland, Oregon, USA, 21 June 2011. c 2011 Association for Computational Linguistics An Interface for Rapid Natural Language Processing Development in UIMA Balaji R. Soundrarajan, ... anno- tations within natural language processing (NLP) projects built using the open source Apache Un- structured Information Management Architecture (UIMA) 1 . Many NLP tasks are...
Ngày tải lên : 17/03/2014, 00:20
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Báo cáo khoa học: "A Framework for Unsupervised Natural Language Morphology Induction" docx

Báo cáo khoa học: "A Framework for Unsupervised Natural Language Morphology Induction" docx

... A Framework for Unsupervised Natural Language Morphology Induction Christian Monson Language Technologies Institute Carnegie Mellon University 5000 Forbes Ave. Pittsburgh, PA, ... discover the morpho- logical structure of a natural language through the analysis of corpora. This paper presents a framework for automatic natural language morphology induction inspired by ....
Ngày tải lên : 17/03/2014, 06:20
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Báo cáo khoa học: "building user interfaces with natural language feedback" pdf

Báo cáo khoa học: "building user interfaces with natural language feedback" pdf

... devel- oper provides the domain information (ontology of the knowledge-base and linguistic information for supported languages), plus configuration and localisation information for any menu- and tool- bars ... executed. Thus WYSIWYM provides a natural language front-end for a database which is completely robust — the interface will not allow the user to construct an ill- formed que...
Ngày tải lên : 17/03/2014, 22:20
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Tài liệu Báo cáo khoa học: "Topic Models for Dynamic Translation Model Adaptation" pptx

Tài liệu Báo cáo khoa học: "Topic Models for Dynamic Translation Model Adaptation" pptx

... Meeting of the Association for Computational Linguistics, pages 115–119, Jeju, Republic of Korea, 8-14 July 2012. c 2012 Association for Computational Linguistics Topic Models for Dynamic Translation ... unseen for a given domain s, we are already performing an implicit form of smoothing (when computing the expected counts), since each docu- ment has a distribution over all topics,...
Ngày tải lên : 19/02/2014, 19:20
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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

... the 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. Fi...
Ngày tải lên : 20/02/2014, 04:20
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