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Consonant-Vowel Sequences as Subword Units for Code-Mixed Languages

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Published Date: 2018-02-08

Registration: ISSN 2374-3468 (Online) ISSN 2159-5399 (Print)

Copyright: Published by AAAI Press, Palo Alto, California USA Copyright © 2018, Association for the Advancement of Artificial Intelligence All Rights Reserved.

Authors

Upendra Kumar

Indian Institute of Information Technology, Sri City, AP


Vishal Singh

Indian Institute of Information Technology, Sri City, AP


Chris Andrew

Indian Institute of Information Technology, Sri City, AP


Santhoshini Reddy

Indian Institute of Information Technology, Sri City, AP


Amitava Das

Indian Institute of Information Technology, Sri City, AP


DOI:

10.1609/aaai.v32i1.12193


Abstract:

In this research work, we develop a state-of-art model for identifying sentiment in Hindi-English code-mixed language. We introduce new phonemic sub-word units for Hindi-English code-mixed text along with a hierarchical deep learning model which uses these sub-word units for predicting sentiment. The results indicate that the model yields a significant increase in accuracy as compared to other models.