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        <title>Improving the Morphological Analysis of Classical Sanskrit</title>
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        <namePart type="given">Oliver</namePart>
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            <title>Proceedings of the 6th Workshop on South and Southeast Asian Natural Language Processing (WSSANLP2016)</title>
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            <namePart type="given">Dekai</namePart>
            <namePart type="family">Wu</namePart>
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        <name type="personal">
            <namePart type="given">Pushpak</namePart>
            <namePart type="family">Bhattacharyya</namePart>
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    <abstract>The paper describes a new tagset for the morphological disambiguation of Sanskrit, and compares the accuracy of two machine learning methods (Conditional Random Fields, deep recurrent neural networks) for this task, with a special focus on how to model the lexicographic information. It reports a significant improvement over previously published results.</abstract>
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%0 Conference Proceedings
%T Improving the Morphological Analysis of Classical Sanskrit
%A Hellwig, Oliver
%Y Wu, Dekai
%Y Bhattacharyya, Pushpak
%S Proceedings of the 6th Workshop on South and Southeast Asian Natural Language Processing (WSSANLP2016)
%D 2016
%8 December
%I The COLING 2016 Organizing Committee
%C Osaka, Japan
%F hellwig-2016-improving
%X The paper describes a new tagset for the morphological disambiguation of Sanskrit, and compares the accuracy of two machine learning methods (Conditional Random Fields, deep recurrent neural networks) for this task, with a special focus on how to model the lexicographic information. It reports a significant improvement over previously published results.
%U https://aclanthology.org/W16-3715
%P 142-151

Markdown (Informal)

[Improving the Morphological Analysis of Classical Sanskrit](https://aclanthology.org/W16-3715) (Hellwig, WSSANLP 2016)

• Improving the Morphological Analysis of Classical Sanskrit (Hellwig, WSSANLP 2016)

ACL

• Oliver Hellwig. 2016. Improving the Morphological Analysis of Classical Sanskrit. In Proceedings of the 6th Workshop on South and Southeast Asian Natural Language Processing (WSSANLP2016), pages 142–151, Osaka, Japan. The COLING 2016 Organizing Committee.