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    <titleInfo>
        <title>Detecting Sentence Boundaries in Sanskrit Texts</title>
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    <name type="personal">
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            <title>Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers</title>
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            <publisher>The COLING 2016 Organizing Committee</publisher>
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    <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%.</abstract>
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%0 Conference Proceedings
%T Detecting Sentence Boundaries in Sanskrit Texts
%A Hellwig, Oliver
%S Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
%D 2016
%8 dec
%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)

• Detecting Sentence Boundaries in Sanskrit Texts (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.