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2016 COLING COLING 2016

Detecting Sentence Boundaries in Sanskrit Texts

Abstract

AbstractThe 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%.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Natural Language Processing

Authors

Oliver Hellwig

Topics

Deep Learning > Architectures > Neural Networks Natural Language Processing > Applications > Text Classification Deep Learning > Learning Types > Deep Learning

Keywords

sequence labeling sanskrit language recurrent neural network word embedding sentence boundary detection deep recurrent neural network
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