Titlebook: Computational Linguistics and Intelligent Text Processing; 13th International C Alexander Gelbukh Conference proceedings 2012 Springer-Verl

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书目名称Computational Linguistics and Intelligent Text Processing影响因子(影响力)




书目名称Computational Linguistics and Intelligent Text Processing影响因子(影响力)学科排名




书目名称Computational Linguistics and Intelligent Text Processing网络公开度




书目名称Computational Linguistics and Intelligent Text Processing网络公开度学科排名




书目名称Computational Linguistics and Intelligent Text Processing被引频次




书目名称Computational Linguistics and Intelligent Text Processing被引频次学科排名




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书目名称Computational Linguistics and Intelligent Text Processing年度引用学科排名




书目名称Computational Linguistics and Intelligent Text Processing读者反馈




书目名称Computational Linguistics and Intelligent Text Processing读者反馈学科排名

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Abduction in Games for a Flexible Approach to Discourse Planningtion component and a user model. The core task of the user model is abductive reasoning about the usefulness of rhetorical relations for the document plan with respect to the user’s information requirements. Since the different preferences of the generation component and the user model are defined b

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dialect

Minimum Bayes Risk Decoding with Enlarged Hypothesis Space in System Combinationnimum Bayes Risk decoding in order to quantify the relative performance within lattice or n-best output with regard to the 1-best output. In contrast, our approach is to enlarge the hypothesis space in order to incorporate the combinatorial nature of MBR decoding. In this setting, we perform experim

Ferritin

Phrasal Syntactic Category Sequence Model for Phrase-Based MTal syntactic category sequence (PSCS) model which allows a PBMT decoder to prefer more grammatical translations. We parse all the sentences on the target side of the bilingual training corpus. In the standard phrase pair extraction procedure, we assign a syntactic category to each phrase pair and bu

SIT

Integration of a Noun Compound Translator Tool with Moses for English-Hindi Machine Translation and onstructs in Hindi. The performance of existing translation system makes the point clear that there exists no satisfactorily efficient Noun Compound translation tool from English to Hindi although the need of one is unprecedented in the context of machine translation. In this paper we integrate Noun

SIT

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Aligning the Un-Alignable — A Pilot Study Using a Noisy Corpus of Nonstandardized, Semi-parallel Texsentence boundary marking. The method identifies comparable sequences over a source and target text using a bilingual dictionary, uses various methods to assign a confidence score, and only keeps the highest scoring sequences. For comparison, a conventional alignment is done with a heuristic sentenc

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