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Volumn 1, Issue , 2009, Pages 110-119

Coupling an annotated corpus and a morphosyntactic lexicon for state-of-the-art pos tagging with less human effort

Author keywords

French; Language resource development; Maximum entropy models; Morphosyntactic lexicon; Part of speech tagging

Indexed keywords

FRENCH; LANGUAGE RESOURCES; MAXIMUM ENTROPY MODELS; MORPHOSYNTACTIC LEXICON; PART OF SPEECH TAGGING;

EID: 84857727231     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article
Times cited : (67)

References (14)
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    • Hajič, J. 2000. Morphological Tagging: Data vs. Dictionaries. In Proceedings of ANLP'00, pages 94-101, Seattle, WA, USA.
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    • Hajič, J.1
  • 6
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    • Lafferty, J. D., A. McCallum, and F. C. N. Pereira. 2001. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In ICML, pages 282-289.
    • (2001) ICML , pp. 282-289
    • Lafferty, J.D.1    McCallum, A.2    Pereira, F.C.N.3
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  • 9
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    • Building a large annotated corpus of English: The Penn Treebank
    • Marcus, M. P., M. A. Marcinkiewicz, and B. Santorini. 1993. Building a large annotated corpus of English: The Penn Treebank. Computational Linguistics, 19(2):313-330.
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    • Automatic acquisition of a Slovak lexicon from a raw corpus
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    • Sagot, B. 2005. Automatic acquisition of a Slovak lexicon from a raw corpus. In Lecture Notes in Artificial Intelligence 3658, Proceedings of TSD'05, pages 156-163, Karlovy Vary, Czech Republic. Springer-Verlag.
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    • The Lefff 2 syntactic lexicon for French: Architecture, acquisition, use
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.