@inproceedings{kumar-etal-2017-morphological,
title = "Morphological Analysis of the {D}ravidian Language Family",
author = "Kumar, Arun and
Cotterell, Ryan and
Padr{\'o}, Llu{\'\i}s and
Oliver, Antoni",
editor = "Lapata, Mirella and
Blunsom, Phil and
Koller, Alexander",
booktitle = "Proceedings of the 15th Conference of the {E}uropean Chapter of the Association for Computational Linguistics: Volume 2, Short Papers",
month = apr,
year = "2017",
address = "Valencia, Spain",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/E17-2035",
pages = "217--222",
abstract = "The Dravidian languages are one of the most widely spoken language families in the world, yet there are very few annotated resources available to NLP researchers. To remedy this, we create DravMorph, a corpus annotated for morphological segmentation and part-of-speech. Additionally, we exploit novel features and higher-order models to set state-of-the-art results on these corpora on both tasks, beating techniques proposed in the literature by as much as 4 points in segmentation F1.",
}
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<abstract>The Dravidian languages are one of the most widely spoken language families in the world, yet there are very few annotated resources available to NLP researchers. To remedy this, we create DravMorph, a corpus annotated for morphological segmentation and part-of-speech. Additionally, we exploit novel features and higher-order models to set state-of-the-art results on these corpora on both tasks, beating techniques proposed in the literature by as much as 4 points in segmentation F1.</abstract>
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%0 Conference Proceedings
%T Morphological Analysis of the Dravidian Language Family
%A Kumar, Arun
%A Cotterell, Ryan
%A Padró, Lluís
%A Oliver, Antoni
%Y Lapata, Mirella
%Y Blunsom, Phil
%Y Koller, Alexander
%S Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
%D 2017
%8 April
%I Association for Computational Linguistics
%C Valencia, Spain
%F kumar-etal-2017-morphological
%X The Dravidian languages are one of the most widely spoken language families in the world, yet there are very few annotated resources available to NLP researchers. To remedy this, we create DravMorph, a corpus annotated for morphological segmentation and part-of-speech. Additionally, we exploit novel features and higher-order models to set state-of-the-art results on these corpora on both tasks, beating techniques proposed in the literature by as much as 4 points in segmentation F1.
%U https://aclanthology.org/E17-2035
%P 217-222
Markdown (Informal)
[Morphological Analysis of the Dravidian Language Family](https://aclanthology.org/E17-2035) (Kumar et al., EACL 2017)
ACL
- Arun Kumar, Ryan Cotterell, Lluís Padró, and Antoni Oliver. 2017. Morphological Analysis of the Dravidian Language Family. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 217–222, Valencia, Spain. Association for Computational Linguistics.