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Titlebook: Computational Linguistics and Intelligent Text Processing; 12th International C Alexander Gelbukh Conference proceedings 2011 Springer Berl

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書目名稱Computational Linguistics and Intelligent Text Processing
副標(biāo)題12th International C
編輯Alexander Gelbukh
視頻videohttp://file.papertrans.cn/233/232611/232611.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computational Linguistics and Intelligent Text Processing; 12th International C Alexander Gelbukh Conference proceedings 2011 Springer Berl
描述This two-volume set, consisting of LNCS 6608 and LNCS 6609, constitutes the thoroughly refereed proceedings of the 12th International Conference on Computer Linguistics and Intelligent Processing, held in Tokyo, Japan, in February 2011.The 74 full papers, presented together with 4 invited papers, were carefully reviewed and selected from 298 submissions.The contents have been ordered according to the following topical sections: lexical resources; syntax and parsing; part-of-speech tagging and morphology;word sense disambiguation; semantics and discourse; opinion mining and sentiment detection; text generation;machine translation and multilingualism; information extraction and information retrieval; text categorization and classification; summarization and recognizing textual entailment; authoring aid, error correction, and style analysis; and speech recognition and generation.
出版日期Conference proceedings 2011
關(guān)鍵詞NLP; association rule mining; automatic query answering; bootstrapping; computer assisted translation; co
版次1
doihttps://doi.org/10.1007/978-3-642-19437-5
isbn_softcover978-3-642-19436-8
isbn_ebook978-3-642-19437-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Berlin Heidelberg 2011
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Computational Linguistics and Intelligent Text Processing978-3-642-19437-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
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The Springer Series on Human Exceptionality. These template-based approaches (G-EBMT) find common patterns in the bilingual corpus to generate generalized templates. In the past, patterns in the corpus were found by only few of the following ways: finding similar or dissimilar portions of text in groups of sentence-pairs, finding semanticall
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Farideh Salili,Chi Yue Chiu,Ying Yi Hong abbreviations are highly polysemous with respect to regular words. Technologies that exhibit some level of language understanding may be adversely impacted by the presence of abbreviations. This paper addresses two related problems: (1) expansion of abbreviations given a context, and (2) translatio
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Student Movements for the Republic of Kosovo the translation quality of statistical machine translation (SMT) approaches for the translation of local dialects by exploiting linguistic information of the standard language. The method iteratively learns multiple segmentation schemes that are consistent with (1) the standard dialect segmentation
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Student Participation in Online Discussionsmption that similar words have similar contexts across multiple languages. However, previous research suggests the use of a simple bag-of-words model to capture the lexical context, or assumes that sufficient context information can be captured by the successor and predecessor of the dependency tree
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