@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://preview.aclanthology.org/jlcl-multiple-ingestion/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{\%}."
}
Markdown (Informal)
[Detecting Sentence Boundaries in Sanskrit Texts](https://preview.aclanthology.org/jlcl-multiple-ingestion/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.