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Volumn , Issue , 2013, Pages 1055-1065

Multi-domain adaptation for SMT using Multi-Task Learning

Author keywords

[No Author keywords available]

Indexed keywords

LINEARIZATION; QUERY LANGUAGES;

EID: 84906931795     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (14)

References (28)
  • 1
    • 27844439373 scopus 로고    scopus 로고
    • A framework for learning predictive structures from multiple tasks and unlabeled data
    • Rie Kubota Ando and Tong Zhang. 2005. A framework for learning predictive structures from multiple tasks and unlabeled data. The Journal of Machine Learning Research, 6: 1817-1853.
    • (2005) The Journal of Machine Learning Research , vol.6 , pp. 1817-1853
    • Ando, R.K.1    Zhang, T.2
  • 2
    • 80053233144 scopus 로고    scopus 로고
    • Domain adaptation via pseudo in-domain data selection
    • Edinburgh, Scotland, UK., July. Association for Computational Linguistics
    • Amittai Axelrod, Xiaodong He, and Jianfeng Gao. 2011. Domain adaptation via pseudo in-domain data selection. In Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, pages 355-362, Edinburgh, Scotland, UK., July. Association for Computational Linguistics.
    • (2011) Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing , pp. 355-362
    • Axelrod, A.1    He, X.2    Gao, J.3
  • 5
    • 34347360650 scopus 로고    scopus 로고
    • Hierarchical phrase-based translation
    • David Chiang. 2007. Hierarchical phrase-based translation. Computational Linguistics, 33(2): 201-228.
    • (2007) Computational Linguistics , vol.33 , Issue.2 , pp. 201-228
    • Chiang, D.1
  • 6
    • 56449095373 scopus 로고    scopus 로고
    • A unified architecture for natural language processing: Deep neural networks with multitask learning
    • ACM
    • Ronan Collobert and Jason Weston. 2008. A unified architecture for natural language processing: deep neural networks with multitask learning. In Proceedings of the 25th international conference on Machine learning, pages 160-167. ACM.
    • (2008) Proceedings of the 25th International Conference on Machine Learning , pp. 160-167
    • Collobert, R.1    Weston, J.2
  • 7
    • 84901501792 scopus 로고    scopus 로고
    • Bilingual data cleaning for smt using graph-based random walk
    • Short Papers Sofia, Bulgaria, August. Association for Computational Linguistics
    • Lei Cui, Dongdong Zhang, Shujie Liu, Mu Li, and Ming Zhou. 2013. Bilingual data cleaning for smt using graph-based random walk. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 340-345, Sofia, Bulgaria, August. Association for Computational Linguistics.
    • (2013) Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics , vol.2 , pp. 340-345
    • Cui, L.1    Zhang, D.2    Liu, S.3    Li, M.4    Zhou, M.5
  • 10
    • 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. In In Proc. of LREC.
    • (2004) Proc. of LREC
    • Eck, M.1    Vogel, S.2    Waibel, A.3
  • 11
    • 84865500301 scopus 로고    scopus 로고
    • Mixture-model adaptation for SMT
    • Prague, Czech Republic, June. Association for Computational Linguistics
    • George Foster and Roland Kuhn. 2007. Mixture-model adaptation for SMT. In Proceedings of the Second Workshop on Statistical Machine Translation, pages 128-135, Prague, Czech Republic, June. Association for Computational Linguistics.
    • (2007) Proceedings of the Second Workshop on Statistical Machine Translation , pp. 128-135
    • Foster, G.1    Kuhn, R.2
  • 13
    • 80053229583 scopus 로고    scopus 로고
    • Discriminative instance weighting for domain adaptation in statistical machine translation
    • Cambridge, MA, October. Association for Computational Linguistics
    • George Foster, Cyril Goutte, and Roland Kuhn. 2010. Discriminative instance weighting for domain adaptation in statistical machine translation. In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, pages 451-459, Cambridge, MA, October. Association for Computational Linguistics.
    • (2010) Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing , pp. 451-459
    • Foster, G.1    Goutte, C.2    Kuhn, R.3
  • 15
    • 0028996876 scopus 로고
    • Improved backing-off for m-gram language modeling
    • 1995 International Conference on IEEE
    • Reinhard Kneser and Hermann Ney. 1995. Improved backing-off for m-gram language modeling. In Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on, Volume 1, pages 181-184. IEEE.
    • (1995) Acoustics, Speech, and Signal Processing, 1995. ICASSP-95 , vol.1 , pp. 181-184
    • Kneser, R.1    Ney, H.2
  • 16
    • 85121330353 scopus 로고    scopus 로고
    • Experiments in domain adaptation for statistical machine translation
    • Prague, Czech Republic, June. Association for Computational Linguistics
    • Philipp Koehn and Josh Schroeder. 2007. Experiments in domain adaptation for statistical machine translation. In Proceedings of the Second Workshop on Statistical Machine Translation, pages 224-227, Prague, Czech Republic, June. Association for Computational Linguistics.
    • (2007) Proceedings of the Second Workshop on Statistical Machine Translation , pp. 224-227
    • Koehn, P.1    Schroeder, J.2
  • 17
    • 85011809824 scopus 로고    scopus 로고
    • Statistical significance tests for machine translation evaluation
    • Dekang Lin and Dekai Wu, editors Barcelona, Spain, July. Association for Computational Linguistics
    • Philipp Koehn. 2004. Statistical significance tests for machine translation evaluation. In Dekang Lin and Dekai Wu, editors, Proceedings of EMNLP 2004, pages 388-395, Barcelona, Spain, July. Association for Computational Linguistics.
    • (2004) Proceedings of EMNLP 2004 , pp. 388-395
    • Koehn, P.1
  • 20
    • 84859981825 scopus 로고    scopus 로고
    • Intelligent selection of language model training data
    • Uppsala, Sweden, July. Association for Computational Linguistics
    • Robert C. Moore and William Lewis. 2010. Intelligent selection of language model training data. In Proceedings of the ACL 2010 Conference Short Papers, pages 220-224, Uppsala, Sweden, July. Association for Computational Linguistics.
    • (2010) Proceedings of the ACL 2010 Conference Short Papers , pp. 220-224
    • Moore, R.C.1    Lewis, W.2
  • 21
    • 0042879653 scopus 로고    scopus 로고
    • A systematic comparison of various statistical alignment models
    • Franz Josef Och and Hermann Ney. 2003. A systematic comparison of various statistical alignment models. Computational Linguistics, 29(1): 19-51.
    • (2003) Computational Linguistics , vol.29 , Issue.1 , pp. 19-51
    • Och, F.J.1    Ney, H.2
  • 22
    • 84944098666 scopus 로고    scopus 로고
    • Minimum error rate training in statistical machine translation
    • Sapporo, Japan, July. Association for Computational Linguistics
    • Franz Josef Och. 2003. Minimum error rate training in statistical machine translation. In Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics, pages 160-167, Sapporo, Japan, July. Association for Computational Linguistics.
    • (2003) Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics , pp. 160-167
    • Och, F.J.1
  • 23
    • 85133336275 scopus 로고    scopus 로고
    • Bleu: A method for automatic evaluation of machine translation
    • Philadelphia, Pennsylvania, USA, July. Association for Computational Linguistics
    • Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002. Bleu: a method for automatic evaluation of machine translation. In Proceedings of 40th Annual Meeting of the Association for Computational Linguistics, pages 311-318, Philadelphia, Pennsylvania, USA, July. Association for Computational Linguistics.
    • (2002) Proceedings of 40th Annual Meeting of the Association for Computational Linguistics , pp. 311-318
    • Papineni, K.1    Roukos, S.2    Ward, T.3    Zhu, W.-J.4
  • 24
    • 84878205911 scopus 로고    scopus 로고
    • Mixing multiple translation models in statistical machine translation
    • Long Papers Jeju Island, Korea, July. Association for Computational Linguistics
    • Majid Razmara, George Foster, Baskaran Sankaran, and Anoop Sarkar. 2012. Mixing multiple translation models in statistical machine translation. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 940-949, Jeju Island, Korea, July. Association for Computational Linguistics.
    • (2012) Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics , vol.1 , pp. 940-949
    • Razmara, M.1    Foster, G.2    Sankaran, B.3    Sarkar, A.4
  • 25
    • 84992378330 scopus 로고    scopus 로고
    • Perplexity minimization for translation model domain adaptation in statistical machine translation
    • Avignon, France, April. Association for Computational Linguistics
    • Rico Sennrich. 2012. Perplexity minimization for translation model domain adaptation in statistical machine translation. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pages 539-549, Avignon, France, April. Association for Computational Linguistics.
    • (2012) Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics , pp. 539-549
    • Sennrich, R.1
  • 26
    • 24044511526 scopus 로고    scopus 로고
    • Ranking and reranking with perceptron
    • Libin Shen and Aravind K Joshi. 2005. Ranking and reranking with perceptron. Machine Learning, 60(1-3): 73-96.
    • (2005) Machine Learning , vol.60 , Issue.1-3 , pp. 73-96
    • Shen, L.1    Joshi, A.K.2
  • 27
    • 84878179266 scopus 로고    scopus 로고
    • Joint feature selection in distributed stochastic learning for large-scale discriminative training in smt
    • Long Papers Jeju Island, Korea, July. Association for Computational Linguistics
    • Patrick Simianer, Stefan Riezler, and Chris Dyer. 2012. Joint feature selection in distributed stochastic learning for large-scale discriminative training in smt. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 11-21, Jeju Island, Korea, July. Association for Computational Linguistics.
    • (2012) Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics , vol.1 , pp. 11-21
    • Simianer, P.1    Riezler, S.2    Dyer, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.