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Why neural translations are the right length

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Shi, Xing
Knight, Kevin

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Abstract

We investigate how neural, encoder-decoder translation systems output target strings of appropriate lengths, finding that a collection of hidden units learns to explicitly implement this functionality.

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Association for Computational Linguistics (ACL)

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Computer engineering

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EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings

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10.18653/v1/d16-1248

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