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Volumn , Issue , 2012, Pages 312-316

Machine Learning for Hybrid Machine Translation

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; COMPUTER AIDED LANGUAGE TRANSLATION; ENGINES; LEARNING SYSTEMS; MACHINE COMPONENTS; MACHINE TRANSLATION;

EID: 84911973587     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (19)

References (21)
  • 5
    • 84911965139 scopus 로고    scopus 로고
    • Stochastic parse tree selection for an existing rbmt system
    • Edinburgh, Scotland, July. Association for Computational Linguistics
    • Christian Federmann and Sabine Hunsicker. 2011. Stochastic parse tree selection for an existing rbmt system. In Proceedings of the Sixth Workshop on Statistical Machine Translation, pages 351-357, Edinburgh, Scotland, July. Association for Computational Linguistics.
    • (2011) Proceedings of the Sixth Workshop on Statistical Machine Translation , pp. 351-357
    • Federmann, Christian1    Hunsicker, Sabine2
  • 7
    • 84961317988 scopus 로고    scopus 로고
    • Appraise: An Open-Source Toolkit for Manual Phrase-Based Evaluation of Translations
    • Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Mike Rosner, and Daniel Tapias, editors, Valletta, Malta, May. European Language Resources Association (ELRA)
    • Christian Federmann. 2010. Appraise: An Open-Source Toolkit for Manual Phrase-Based Evaluation of Translations. In Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Mike Rosner, and Daniel Tapias, editors, Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10), Valletta, Malta, May. European Language Resources Association (ELRA).
    • (2010) Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)
    • Federmann, Christian1
  • 9
    • 44949230930 scopus 로고    scopus 로고
    • Europarl: A Parallel Corpus for Statistical Machine Translation
    • Philipp Koehn. 2005. Europarl: A Parallel Corpus for Statistical Machine Translation. In Proceedings of the MT Summit 2005.
    • (2005) Proceedings of the MT Summit 2005
    • Koehn, Philipp1
  • 11
    • 79960276653 scopus 로고    scopus 로고
    • Computing Consensus Translation from Multiple Machine Translation Systems Using Enhanced Hypotheses Alignment
    • Stroudsburg, PA, USA, April. Association for Computational Linguistics
    • Evgeny Matusov, Nicola Ueffing, and Hermann Ney. 2006. Computing Consensus Translation from Multiple Machine Translation Systems Using Enhanced Hypotheses Alignment. In Conference of the European Chapter of the Association for Computational Linguistics, pages 33-40, Stroudsburg, PA, USA, April. Association for Computational Linguistics.
    • (2006) Conference of the European Chapter of the Association for Computational Linguistics , pp. 33-40
    • Matusov, Evgeny1    Ueffing, Nicola2    Ney, Hermann3
  • 12
    • 0042879653 scopus 로고    scopus 로고
    • A Systematic Comparison of Various Statistical Alignment Models
    • March
    • Franz Josef Och and Hermann Ney. 2003. A Systematic Comparison of Various Statistical Alignment Models. Computational Linguistics, 29(1):19-51, March.
    • (2003) Computational Linguistics , vol.29 , Issue.1 , pp. 19-51
    • Och, Franz Josef1    Ney, Hermann2
  • 14
    • 11144273669 scopus 로고
    • The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain
    • F. Rosenblatt. 1958. The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain. Psychological Review, 65:386-408.
    • (1958) Psychological Review , vol.65 , pp. 386-408
    • Rosenblatt, F.1
  • 21
    • 85050418554 scopus 로고    scopus 로고
    • Z-MERT: A fully configurable open source tool for minimum error rate training of machine translation systems
    • January
    • Omar F. Zaidan. 2009. Z-MERT: A fully configurable open source tool for minimum error rate training of machine translation systems. The Prague Bulletin of Mathematical Linguistics, 91:79-88, January.
    • (2009) The Prague Bulletin of Mathematical Linguistics , vol.91 , pp. 79-88
    • Zaidan, Omar F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.