@inproceedings{sorokin-2019-convolutional,
title = "Convolutional neural networks for low-resource morpheme segmentation: baseline or state-of-the-art?",
author = "Sorokin, Alexey",
editor = "Nicolai, Garrett and
Cotterell, Ryan",
booktitle = "Proceedings of the 16th Workshop on Computational Research in Phonetics, Phonology, and Morphology",
month = aug,
year = "2019",
address = "Florence, Italy",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W19-4218",
doi = "10.18653/v1/W19-4218",
pages = "154--159",
abstract = "We apply convolutional neural networks to the task of shallow morpheme segmentation using low-resource datasets for 5 different languages. We show that both in fully supervised and semi-supervised settings our model beats previous state-of-the-art approaches. We argue that convolutional neural networks reflect local nature of morpheme segmentation better than other semi-supervised approaches.",
}
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%0 Conference Proceedings
%T Convolutional neural networks for low-resource morpheme segmentation: baseline or state-of-the-art?
%A Sorokin, Alexey
%Y Nicolai, Garrett
%Y Cotterell, Ryan
%S Proceedings of the 16th Workshop on Computational Research in Phonetics, Phonology, and Morphology
%D 2019
%8 August
%I Association for Computational Linguistics
%C Florence, Italy
%F sorokin-2019-convolutional
%X We apply convolutional neural networks to the task of shallow morpheme segmentation using low-resource datasets for 5 different languages. We show that both in fully supervised and semi-supervised settings our model beats previous state-of-the-art approaches. We argue that convolutional neural networks reflect local nature of morpheme segmentation better than other semi-supervised approaches.
%R 10.18653/v1/W19-4218
%U https://aclanthology.org/W19-4218
%U https://doi.org/10.18653/v1/W19-4218
%P 154-159
Markdown (Informal)
[Convolutional neural networks for low-resource morpheme segmentation: baseline or state-of-the-art?](https://aclanthology.org/W19-4218) (Sorokin, ACL 2019)
ACL