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Volumn 2, Issue , 2014, Pages 136-142

Decoder integration and expected BLEU training for recurrent neural network language models

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; COMPUTER AIDED LANGUAGE TRANSLATION; DECODING;

EID: 84906923072     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/v1/p14-2023     Document Type: Conference Paper
Times cited : (36)

References (29)
  • 3
    • 80053244033 scopus 로고    scopus 로고
    • Training a log-linear parser with loss functions via softmax- margin
    • Association for Computational Linguistics, July
    • Michael Auli and Adam Lopez. 2011. Training a Log-Linear Parser with Loss Functions via Softmax- Margin. In Proc. of EMNLP, pages 333-343. Association for Computational Linguistics, July.
    • (2011) Proc. of EMNLP , pp. 333-343
    • Auli, M.1    Lopez, A.2
  • 4
    • 84926321124 scopus 로고    scopus 로고
    • Joint language and translation modeling with recurrent neural networks
    • October
    • Michael Auli, Michel Galley, Chris Quirk, and Geoffrey Zweig. 2013. Joint Language and Translation Modeling with Recurrent Neural Networks. In Proc. of EMNLP, October.
    • (2013) Proc. of EMNLP
    • Auli, M.1    Galley, M.2    Quirk, C.3    Zweig, G.4
  • 6
    • 80053360939 scopus 로고    scopus 로고
    • A simple and effective hierarchical phrase reordering model
    • Michel Galley and Christopher D. Manning. 2008. A Simple and Effective Hierarchical Phrase Reordering Model. In Proc. of EMNLP, pages 848-856.
    • (2008) Proc. of EMNLP , pp. 848-856
    • Galley, M.1    Manning, C.D.2
  • 7
    • 84906927056 scopus 로고    scopus 로고
    • Training MRFBased phrase translation models using gradient ascent
    • Association for Computational Linguistics, June
    • Jianfeng Gao and Xiaodong He. 2013. Training MRFBased Phrase Translation Models using Gradient Ascent. In Proc. of NAACL-HLT, pages 450-459. Association for Computational Linguistics, June.
    • (2013) Proc. of NAACL-HLT , pp. 450-459
    • Gao, J.1    He, X.2
  • 9
    • 85149112297 scopus 로고    scopus 로고
    • Parsing algorithms and metrics
    • Santa Cruz, CA, USA, June
    • Joshua Goodman. 1996. Parsing Algorithms and Metrics. In Proc. of ACL, pages 177-183, Santa Cruz, CA, USA, June.
    • (1996) Proc. of ACL , pp. 177-183
    • Goodman, J.1
  • 10
    • 84874259453 scopus 로고    scopus 로고
    • Maximum expected BLEU training of phrase and lexicon translation models
    • Association for Computational Linguistics, July
    • Xiaodong He and Li Deng. 2012. Maximum Expected BLEU Training of Phrase and Lexicon Translation Models. In Proc. of ACL, pages 8-14. Association for Computational Linguistics, July.
    • (2012) Proc. of ACL , pp. 8-14
    • He, X.1    Deng, L.2
  • 12
    • 84926283798 scopus 로고    scopus 로고
    • Recurrent continuous translation models
    • Seattle, Washington, USA, October. Association for Computational Linguistics
    • Nal Kalchbrenner and Phil Blunsom. 2013. Recurrent Continuous Translation Models. In Proc. of EMNLP, pages 1700-1709, Seattle, Washington, USA, October. Association for Computational Linguistics.
    • (2013) Proc. of EMNLP , pp. 1700-1709
    • Kalchbrenner, N.1    Blunsom, P.2
  • 14
    • 84926203469 scopus 로고    scopus 로고
    • Continuous space translation models with neural networks
    • Montréal, Canada. Association for Computational Linguistics
    • Hai-Son Le, Alexandre Allauzen, and François Yvon. 2012a. Continuous Space Translation Models with Neural Networks. In Proc. of HLT-NAACL, pages 39-48, Montréal, Canada. Association for Computational Linguistics.
    • (2012) Proc. of HLT-NAACL , pp. 39-48
    • Le, H.-S.1    Allauzen, A.2    Yvon, F.3
  • 16
    • 80053255482 scopus 로고    scopus 로고
    • An end-to-end discriminative approach to machine translation
    • Jul
    • Percy Liang, Alexandre Bouchard-Côté, Ben Taskar, and Dan Klein. 2006. An end-to-end discriminative approach to machine translation. In Proc. of ACLCOLING, pages 761-768, Jul.
    • (2006) Proc. of ACLCOLING , pp. 761-768
    • Liang, P.1    Bouchard-Côté, A.2    Taskar, B.3    Klein, D.4
  • 18
    • 84858966958 scopus 로고    scopus 로고
    • Strategies for training large scale neural network language models
    • Tomáš Mikolov, Anoop Deoras, Daniel Povey, Lukáš Burget, and Jan Černocký. 2011. Strategies for Training Large Scale Neural Network Language Models. In Proc. of ASRU, pages 196-201.
    • (2011) Proc. of ASRU , pp. 196-201
    • Mikolov, T.1    Deoras, A.2    Povey, D.3    Burget, L.4    Černocký, J.5
  • 21
    • 84944098666 scopus 로고    scopus 로고
    • Minimum error rate training in statistical machine translation
    • Sapporo, Japan, July
    • Franz Josef Och. 2003. Minimum Error Rate Training in Statistical Machine Translation. In Proc. of ACL, pages 160-167, Sapporo, Japan, July.
    • (2003) Proc. of ACL , pp. 160-167
    • Och, F.J.1
  • 22
    • 85122501439 scopus 로고    scopus 로고
    • BBN system description for WMT10 system combination task
    • Association for Computational Linguistics, July
    • Antti-Veikko I Rosti, Bing Zhang, Spyros Matsoukas, and Richard Schwartz. 2010. BBN System Description for WMT10 System Combination Task. In Proc. of WMT, pages 321-326. Association for Computational Linguistics, July.
    • (2010) Proc. of WMT , pp. 321-326
    • Rosti, A.-V.I.1    Zhang, B.2    Matsoukas, S.3    Schwartz, R.4
  • 23
    • 85018101083 scopus 로고    scopus 로고
    • Expected BLEU training for graphs: BBN system description for WMT11 system combination task
    • Association for Computational Linguistics, July
    • Antti-Veikko I Rosti, Bing Zhang, Spyros Matsoukas, and Richard Schwartz. 2011. Expected BLEU Training for Graphs: BBN System Description for WMT11 System Combination Task. In Proc. of WMT, pages 159-165. Association for Computational Linguistics, July.
    • (2011) Proc. of WMT , pp. 159-165
    • Rosti, A.-V.I.1    Zhang, B.2    Matsoukas, S.3    Schwartz, R.4
  • 25
    • 85045980083 scopus 로고    scopus 로고
    • Large, pruned or continuous space language models on a GPU for statistical machine translation
    • Association for Computational Linguistics
    • Holger Schwenk, Anthony Rousseau, and Mohammed Attik. 2012. Large, Pruned or Continuous Space Language Models on a GPU for Statistical Machine Translation. In NAACL-HLT Workshop on the Future of Language Modeling for HLT, pages 11-19. Association for Computational Linguistics.
    • (2012) NAACL-HLT Workshop on the Future of Language Modeling for HLT , pp. 11-19
    • Schwenk, H.1    Rousseau, A.2    Attik, M.3
  • 27
    • 80053375451 scopus 로고    scopus 로고
    • Lattice minimum bayes-risk decoding for statistical machine translation
    • Association for Computational Linguistics, October
    • Roy W. Tromble, Shankar Kumar, Franz Och, and Wolfgang Macherey. 2008. Lattice Minimum Bayes-Risk Decoding for Statistical Machine Translation. In Proc. of EMNLP, pages 620-629. Association for Computational Linguistics, October.
    • (2008) Proc. of EMNLP , pp. 620-629
    • Tromble, R.W.1    Kumar, S.2    Och, F.3    Macherey, W.4
  • 29
    • 84926305651 scopus 로고    scopus 로고
    • Max-violation perceptron and forced decoding for scalable MT training
    • Association for Computational Linguistics, October
    • Heng Yu, Liang Huang, Haitao Mi, and Kai Zhao. 2013. Max-Violation Perceptron and Forced Decoding for Scalable MT Training. In Proc. of EMNLP, pages 1112-1123. Association for Computational Linguistics, October.
    • (2013) Proc. of EMNLP , pp. 1112-1123
    • Yu, H.1    Huang, L.2    Mi, H.3    Zhao, K.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.