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1
Improving Multilingual Translation by Representation and Gradient Regularization ...
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2
Discovering Representation Sprachbund For Multilingual Pre-Training ...
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3
Multi-Source Cross-Lingual Model Transfer: Learning What to Share ...
Abstract: Modern NLP applications have enjoyed a great boost utilizing neural networks models. Such deep neural models, however, are not applicable to most human languages due to the lack of annotated training data for various NLP tasks. Cross-lingual transfer learning (CLTL) is a viable method for building NLP models for a low-resource target language by leveraging labeled data from other (source) languages. In this work, we focus on the multilingual transfer setting where training data in multiple source languages is leveraged to further boost target language performance. Unlike most existing methods that rely only on language-invariant features for CLTL, our approach coherently utilizes both language-invariant and language-specific features at instance level. Our model leverages adversarial networks to learn language-invariant features, and mixture-of-experts models to dynamically exploit the similarity between the target language and each individual source language. This enables our model to learn effectively what ... : ACL 2019 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG
URL: https://dx.doi.org/10.48550/arxiv.1810.03552
https://arxiv.org/abs/1810.03552
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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
OLC Linguistik
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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)
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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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OLC Linguistik
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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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