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1
Improving Multilingual Translation by Representation and Gradient Regularization ...
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Discovering Representation Sprachbund For Multilingual Pre-Training ...
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3
Multi-Source Cross-Lingual Model Transfer: Learning What to Share ...
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4
Universal Neural Machine Translation for Extremely Low Resource Languages ...
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5
Synthetic Data for Neural Machine Translation of Spoken-Dialects ...
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6
Efficient accurate syntactic direct translation models: one tree at a time
In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 26 (2012) 1-2, 121-136
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7
Special issue on Machine Translation for Arabic: Preface
In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 26 (2012) 1, 1-2
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8
A syntactified direct translation model with linear-time decoding
In: Hassan, Hany, Sima'an, Khalil and Way, Andy orcid:0000-0001-5736-5930 (2009) A syntactified direct translation model with linear-time decoding. In: EMNLP 2009 - Conference on Empirical Methods in Natural Language Processing, 6-7 August 2009, Singapore. (2009)
Abstract: Recent syntactic extensions of statistical translation models work with a synchronous context-free or tree-substitution grammar extracted from an automatically parsed parallel corpus. The decoders accompanying these extensions typically exceed quadratic time complexity. This paper extends the Direct Translation Model 2 (DTM2) with syntax while maintaining linear-time decoding. We employ a linear-time parsing algorithm based on an eager, incremental interpretation of Combinatory Categorial Grammar (CCG). As every input word is processed, the local parsing decisions resolve ambiguity eagerly, by selecting a single supertag–operator pair for extending the dependency parse incrementally. Alongside translation features extracted from the derived parse tree, we explore syntactic features extracted from the incremental derivation process. Our empirical experiments show that our model significantly outperforms the state-of-the art DTM2 system.
Keyword: Machine translating; statistical translation models
URL: http://doras.dcu.ie/15180/
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9
Lexical syntax for statistical machine translation
Hassan, Hany. - : Dublin City University. School of Computing, 2009
In: Hassan, Hany (2009) Lexical syntax for statistical machine translation. PhD thesis, Dublin City University. (2009)
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10
Lexicalized semi-incremental dependency parsing
In: Hassan, Hany, Sima'an, Khalil and Way, Andy orcid:0000-0001-5736-5930 (2009) Lexicalized semi-incremental dependency parsing. In: RANLP-2009 - Recent Advances in Natural Language Processing, 14-16 September 2009, Borovets, Bulgaria. (2009)
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11
Syntactically lexicalized phrase-based SMT
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 16 (2008) 7, 1260-1273
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12
Exploiting alignment techniques in MATREX: the DCU machine translation system for IWSLT 2008
In: Ma, Yanjun, Tinsley, John, Hassan, Hany, Du, Jinhua orcid:0000-0002-3267-4881 and Way, Andy orcid:0000-0001-5736-5930 (2008) Exploiting alignment techniques in MATREX: the DCU machine translation system for IWSLT 2008. In: IWSLT 2008 - International Workshop on Spoken Language Translation, 20-21 October 2008, Hawaii, USA. (2008)
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13
Supertagged phrase-based statistical machine translation
In: Hassan, Hany, Sima'an, Khalil and Way, Andy orcid:0000-0001-5736-5930 (2007) Supertagged phrase-based statistical machine translation. In: ACL 2007 - 45th Annual Meeting of the Association for Computational Linguistics, 25-27 June 2007, Prague, Czech Republic. (2007)
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