SCOPUS 정보 검색 플랫폼

COLING/ACL 2006 - 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference

Volumn 1, Issue , 2006, Pages 961-968

Scalable inference and training of context-rich syntactic translation models

(7) Galley, Michel a Graehl, Jonathan b Knight, Kevin b,c Marcu, Daniel b,c DeNeefe, Steve b Wang, Wei c Thayer, Ignacio b

a Dept of Computer Science ^* (United States)

b UNIVERSITY OF SOUTHERN CALIFORNIA (United States)

c Language Weaver Inc (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; SYNTACTICS;

MULTIPLE INTERPRETATIONS; PROBABILITY ESTIMATE; REAL EXAMPLE; SYNTACTIC APPROACH; TARGET LANGUAGE; TRAINING PROCEDURES; TRANSLATION MODELS; TRANSLATION RULES;

TRANSLATION (LANGUAGES);

EID: 84860504221 PISSN: None EISSN: None Source Type: Conference Proceeding
DOI: 10.3115/1220175.1220296 Document Type: Conference Paper

Times cited : (347)

References (9)

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3
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- What's in a translation rule?
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- Galley, M.¹ Hopkins, M.² Knight, K.³ Marcu, D.⁴

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- Graehl, J.¹ Knight, K.²

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- Och, F.¹ Ney, H.²

6
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- Data-oriented translation
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- Poutsma, A.¹

7
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- Stochastic inversion transduction grammars and bilingual parsing of parallel corpora
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8
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- A syntax-based statistical translation model
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- Yamada, K.¹ Knight, K.²

9
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- Synchronous binarization for machine translation
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- Zhang, H.¹ Huang, L.² Gildea, D.³ Knight, K.⁴

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.