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Volumn , Issue , 2011, Pages 355-362

Domain adaptation via pseudo in-domain data selection

Author keywords

[No Author keywords available]

Indexed keywords

CROSS ENTROPY; DATA SELECTION; DOMAIN ADAPTATION; PARALLEL CORPORA; STATISTICAL MACHINE TRANSLATION; TARGET DOMAIN; TRAINING DATA;

EID: 80053233144     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (490)

References (18)
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    • 70350470567 scopus 로고    scopus 로고
    • CCG supertags in factored translation models
    • Association for Computational Linguistics
    • Alexandra Birch, Miles Osborne and Philipp Koehn. 2007. CCG Supertags in Factored Translation Models. Workshop on Statistical Machine Translation, Association for Computational Linguistics.
    • (2007) Workshop on Statistical Machine Translation
    • Birch, A.1    Osborne, M.2    Koehn, P.3
  • 3
    • 0003396042 scopus 로고    scopus 로고
    • An empirical study of smoothing techniques for language modeling
    • Harvard University
    • Stanley Chen and Joshua Goodman. 1998. An Empirical Study of Smoothing Techniques for Language Modeling. Technical Report 10-98, Computer Science Group, Harvard University.
    • (1998) Technical Report 10-98, Computer Science Group
    • Chen, S.1    Goodman, J.2
  • 4
    • 85031046566 scopus 로고    scopus 로고
    • Language model adaptation for statistical machine translation based on information retrieval
    • Matthias Eck, Stephan Vogel, and Alex Waibel. 2004. Language Model Adaptation for Statistical Machine Translation based on Information Retrieval. Language Resources and Evaluation.
    • (2004) Language Resources and Evaluation
    • Eck, M.1    Vogel, S.2    Waibel, A.3
  • 6
    • 80053229583 scopus 로고    scopus 로고
    • Discriminative instatnce weighting for domain adaptation in statistical machine translation
    • George Foster, Cyril Goutte, and Roland Kuhn. 2010. Discriminative Instatnce Weighting for Domain Adaptation in Statistical Machine Translation. Empirical Methods in Natural Language Processing.
    • (2010) Empirical Methods in Natural Language Processing
    • Foster, G.1    Goutte, C.2    Kuhn, R.3
  • 14
    • 84969934959 scopus 로고    scopus 로고
    • Improving english-spanish statistical machine translation: Experiments in domain adaptation, sentence paraphrasing, tokenization, and recasing
    • Association for Computational Linguistics
    • Preslav Nakov. 2008. Improving English-Spanish Statistical Machine Translation: Experiments in Domain Adaptation, Sentence Paraphrasing, Tokenization, and Recasing. Workshop on Statistical Machine Translation, Association for Computational Linguistics.
    • (2008) Workshop on Statistical Machine Translation
    • Nakov, P.1
  • 15
    • 0042879653 scopus 로고    scopus 로고
    • A systematic comparison of various statistical alignment models
    • Franz Och and Hermann Ney. 2003. A Systematic Comparison of Various Statistical Alignment Models. Computational Linguistics
    • (2003) Computational Linguistics
    • Och, F.1    Ney, H.2
  • 17
    • 84891308106 scopus 로고    scopus 로고
    • SRILM - An extensible language modeling toolkit
    • Andreas Stolcke. 2002. SRILM - An Extensible Language Modeling Toolkit. Spoken Language Processing.
    • (2002) Spoken Language Processing
    • Stolcke, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.