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    <abstract>We present a neural model for morphological inflection generation which employs a hard attention mechanism, inspired by the nearly-monotonic alignment commonly found between the characters in a word and the characters in its inflection. We evaluate the model on three previously studied morphological inflection generation datasets and show that it provides state of the art results in various setups compared to previous neural and non-neural approaches. Finally we present an analysis of the continuous representations learned by both the hard and soft (Bahdanau, 2014) attention models for the task, shedding some light on the features such models extract.</abstract>
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%0 Conference Proceedings
%T Morphological Inflection Generation with Hard Monotonic Attention
%A Aharoni, Roee
%A Goldberg, Yoav
%Y Barzilay, Regina
%Y Kan, Min-Yen
%S Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
%D 2017
%8 July
%I Association for Computational Linguistics
%C Vancouver, Canada
%F aharoni-goldberg-2017-morphological
%X We present a neural model for morphological inflection generation which employs a hard attention mechanism, inspired by the nearly-monotonic alignment commonly found between the characters in a word and the characters in its inflection. We evaluate the model on three previously studied morphological inflection generation datasets and show that it provides state of the art results in various setups compared to previous neural and non-neural approaches. Finally we present an analysis of the continuous representations learned by both the hard and soft (Bahdanau, 2014) attention models for the task, shedding some light on the features such models extract.
%R 10.18653/v1/P17-1183
%U https://aclanthology.org/P17-1183
%U https://doi.org/10.18653/v1/P17-1183
%P 2004-2015

Markdown (Informal)

[Morphological Inflection Generation with Hard Monotonic Attention](https://aclanthology.org/P17-1183) (Aharoni & Goldberg, ACL 2017)

• Morphological Inflection Generation with Hard Monotonic Attention (Aharoni & Goldberg, ACL 2017)

ACL

• Roee Aharoni and Yoav Goldberg. 2017. Morphological Inflection Generation with Hard Monotonic Attention. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2004–2015, Vancouver, Canada. Association for Computational Linguistics.