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Volumn 1, Issue , 2016, Pages 86-96

Improving neural machine translation models with monolingual data

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER AIDED LANGUAGE TRANSLATION; NETWORK ARCHITECTURE;

EID: 85011945222     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/p16-1009     Document Type: Conference Paper
Times cited : (2360)

References (26)
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    • Practical variational inference for neural networks
    • J. Shawe-Taylor, R.S. Zemel, P.L. Bartlett, F. Pereira, and K.Q. Weinberger, editors Curran Associates, Inc
    • Alex Graves. 2011. Practical Variational Inference for Neural Networks. In J. Shawe-Taylor, R.S. Zemel, P.L. Bartlett, F. Pereira, and K.Q. Weinberger, editors, Advances in Neural Information Processing Systems 24, pages 2348-2356. Curran Associates, Inc.
    • (2011) Advances in Neural Information Processing Systems , vol.24 , pp. 2348-2356
    • Graves, A.1
  • 10
    • 85011809998 scopus 로고    scopus 로고
    • The Edinburgh/JHU phrase-based machine translation systems for WMT 2015
    • Lisbon, Portugal. Association for Computational Linguistics
    • Barry Haddow, Matthias Huck, Alexandra Birch, Nikolay Bogoychev, and Philipp Koehn. 2015. The Edinburgh/JHU Phrase-based Machine Translation Systems for WMT 2015. In Proceedings of the Tenth Workshop on Statistical Machine Translation, pages 126-133, Lisbon, Portugal. Association for Computational Linguistics.
    • (2015) Proceedings of the Tenth Workshop on Statistical Machine Translation , pp. 126-133
    • Haddow, B.1    Huck, M.2    Birch, A.3    Bogoychev, N.4    Koehn, P.5
  • 11
    • 84983479464 scopus 로고    scopus 로고
    • Improving neural networks by preventing co-adaptation of feature detectors
    • abs/1207.0580
    • Geoffrey E. Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. 2012. Improving neural networks by preventing co-adaptation of feature detectors. CoRR, abs/1207.0580.
    • (2012) CoRR
    • Hinton, G.E.1    Srivastava, N.2    Krizhevsky, A.3    Sutskever, I.4    Salakhutdinov, R.5
  • 15
    • 85122042118 scopus 로고    scopus 로고
    • Investigations on translation model adaptation using monolingual data
    • Edinburgh, Scotland. Association for Computational Linguistics
    • Patrik Lambert, Holger Schwenk, Christophe Servan, and Sadaf Abdul-Rauf. 2011. Investigations on Translation Model Adaptation Using Monolingual Data. In Proceedings of the Sixth Workshop on Statistical Machine Translation, pages 284-293, Edinburgh, Scotland. Association for Computational Linguistics.
    • (2011) Proceedings of the Sixth Workshop on Statistical Machine Translation , pp. 284-293
    • Lambert, P.1    Schwenk, H.2    Servan, C.3    Abdul-Rauf, S.4
  • 20
    • 37149007044 scopus 로고    scopus 로고
    • Morphological disambiguation of Turkish text with perceptron algorithm
    • Haşim Sak, Tunga Güngör, and Murat Saraçlar. 2007. Morphological Disambiguation of Turkish Text with Perceptron Algorithm. In CICLing 2007, pages 107-118.
    • (2007) CICLing , vol.2007 , pp. 107-118
    • Sak, H.1    Güngör, T.2    Saraçlar, M.3
  • 21
    • 85045358154 scopus 로고    scopus 로고
    • Investigations on large-scale lightly-supervised training for statistical machine translation
    • Holger Schwenk. 2008. Investigations on Large-Scale Lightly-Supervised Training for Statistical Machine Translation. In International Workshop on Spoken Language Translation, pages 182-189.
    • (2008) International Workshop on Spoken Language Translation , pp. 182-189
    • Schwenk, H.1
  • 22
    • 84959898532 scopus 로고    scopus 로고
    • A joint dependency model of morphological and syntactic structure for statistical machine translation
    • Lisbon, Portugal. Association for Computational Linguistics
    • Rico Sennrich and Barry Haddow. 2015. A Joint Dependency Model of Morphological and Syntactic Structure for Statistical Machine Translation. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pages 2081-2087, Lisbon, Portugal. Association for Computational Linguistics.
    • (2015) Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing , pp. 2081-2087
    • Sennrich, R.1    Haddow, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.