@inproceedings{hellwig-2016-detecting,
title = "Detecting Sentence Boundaries in {S}anskrit Texts",
author = "Hellwig, Oliver",
editor = "Matsumoto, Yuji and
Prasad, Rashmi",
booktitle = "Proceedings of {COLING} 2016, the 26th International Conference on Computational Linguistics: Technical Papers",
month = dec,
year = "2016",
address = "Osaka, Japan",
publisher = "The COLING 2016 Organizing Committee",
url = "https://aclanthology.org/C16-1028",
pages = "288--297",
abstract = "The paper applies a deep recurrent neural network to the task of sentence boundary detection in Sanskrit, an important, yet underresourced ancient Indian language. The deep learning approach improves the F scores set by a metrical baseline and by a Conditional Random Field classifier by more than 10{\%}.",
}
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%0 Conference Proceedings
%T Detecting Sentence Boundaries in Sanskrit Texts
%A Hellwig, Oliver
%Y Matsumoto, Yuji
%Y Prasad, Rashmi
%S Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
%D 2016
%8 December
%I The COLING 2016 Organizing Committee
%C Osaka, Japan
%F hellwig-2016-detecting
%X The paper applies a deep recurrent neural network to the task of sentence boundary detection in Sanskrit, an important, yet underresourced ancient Indian language. The deep learning approach improves the F scores set by a metrical baseline and by a Conditional Random Field classifier by more than 10%.
%U https://aclanthology.org/C16-1028
%P 288-297
Markdown (Informal)
[Detecting Sentence Boundaries in Sanskrit Texts](https://aclanthology.org/C16-1028) (Hellwig, COLING 2016)
ACL
- Oliver Hellwig. 2016. Detecting Sentence Boundaries in Sanskrit Texts. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, pages 288–297, Osaka, Japan. The COLING 2016 Organizing Committee.