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

Upendra Kumar, Vishal Singh, Chris Andrew Gadde, Santhoshini Reddy, Amitava Das

AAAI 2018 pp. 8103-8104

doi:10.1609/AAAI.V32I1.12193 /aaai/2018/kumar2018aaai-consonant/

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.

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Cite

Text

Kumar et al. "Consonant-Vowel Sequences as Subword Units for Code-Mixed Languages." AAAI Conference on Artificial Intelligence, 2018. doi:10.1609/AAAI.V32I1.12193

Markdown

[Kumar et al. "Consonant-Vowel Sequences as Subword Units for Code-Mixed Languages." AAAI Conference on Artificial Intelligence, 2018.](https://mlanthology.org/aaai/2018/kumar2018aaai-consonant/) doi:10.1609/AAAI.V32I1.12193

BibTeX

@inproceedings{kumar2018aaai-consonant,
  title     = {{Consonant-Vowel Sequences as Subword Units for Code-Mixed Languages}},
  author    = {Kumar, Upendra and Singh, Vishal and Gadde, Chris Andrew and Reddy, Santhoshini and Das, Amitava},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2018},
  pages     = {8103-8104},
  doi       = {10.1609/AAAI.V32I1.12193},
  url       = {https://mlanthology.org/aaai/2018/kumar2018aaai-consonant/}
}