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Modeling Latent Sentence Structure in Neural Machine Translation ...
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Deep Generative Model for Joint Alignment and Word Representation ...
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Abstract:
This work exploits translation data as a source of semantically relevant learning signal for models of word representation. In particular, we exploit equivalence through translation as a form of distributed context and jointly learn how to embed and align with a deep generative model. Our EmbedAlign model embeds words in their complete observed context and learns by marginalisation of latent lexical alignments. Besides, it embeds words as posterior probability densities, rather than point estimates, which allows us to compare words in context using a measure of overlap between distributions (e.g. KL divergence). We investigate our model's performance on a range of lexical semantics tasks achieving competitive results on several standard benchmarks including natural language inference, paraphrasing, and text similarity. ... : Accepted at NAACL 2018 ...
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Keyword:
Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.1802.05883 https://arxiv.org/abs/1802.05883
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Multi30K: Multilingual English-German Image Descriptions ...
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Statistical machine translation for automobile marketing texts
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In: Läubli, Samuel; Fishel, Mark; Weibel, Manuela; Volk, Martin (2013). Statistical machine translation for automobile marketing texts. In: Proceedings of the XIV Machine Translation Summit, Nice, 2 September 2013 - 6 September 2013, 265-272. (2013)
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A syntactified direct translation model with linear-time decoding
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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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Lexical syntax for statistical machine translation
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Hassan, Hany. - : Dublin City University. School of Computing, 2009
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In: Hassan, Hany (2009) Lexical syntax for statistical machine translation. PhD thesis, Dublin City University. (2009)
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Lexicalized semi-incremental dependency parsing
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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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Supertagged phrase-based statistical machine translation
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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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