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Results: 6
Number of items: 6
  • Cuong, H., & Sima'an, K. (2017). A survey of domain adaptation for statistical machine translation. Machine Translation, 31(4), 187-224. https://doi.org/10.1007/s10590-018-9216-8
  • Cuong, H., & Sima'an, K. (2017). Induction of latent domains in heterogeneous corpora: a case study of word alignment. Machine Translation, 31(4), 225-249. https://doi.org/10.1007/s10590-018-9215-9
  • Open Access
    Hoàng, C. (2017). Latent domain models for statistical machine translation. [Thesis, fully internal, Universiteit van Amsterdam].
  • Cuong, H., & Simaan, K. (2015). Latent Domain Word Alignment for Heterogeneous Corpora. In R. Mihalcea, J. Chai, & A. Sarkar (Eds.), NAACL HLT 2015: The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Proceedings of the Conference : May 31-June 5, 2015, Denver, Colorado, USA (pp. 398-408). The Association for Computational Linguistics. http://aclweb.org/anthology/N/N15/N15-1043.pdf
  • Open Access
    Cuong, H., & Sima'an, K. (2014). Latent Domain Phrase-based Models for Adaptation. In A. Moschitti, B. Pang, & W. Daelemans (Eds.), EMNLP 2014: the 2014 Conference on Empirical Methods In Natural Language Processing: proceedings of the conference: October 25-29, 2014, Doha, Qatar (pp. 566-576). Association for Computational Linguistics. http://www.aclweb.org/anthology/D/D14/D14-1062.pdf
  • Open Access
    Cuong, H., & Simaan, K. (2014). Latent Domain Translation Models in Mix-of-Domains Haystack. In J. Tsujii, & J. Hajic (Eds.), COLING 2014: the 25th International Conference on Computational Linguistics: proceedings of COLING 2014 : technical papers: August 23-29, 2014, Dublin, Ireland (pp. 1928-1939). Association for Computational Linguistics. http://www.aclweb.org/anthology/C14-1182
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