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Springer Nature Singapore
Reference19 articles.
1. Das A, Gamback B (2014) Identifying languages at the word level in code-mixed ındian social media text. In: Proceedings of the 11th international conference on natural language processing, pp 378–387
2. Vyas Y, Gella S, Sharma J, Bali K, Choudhury M (2014) POS, tagging, of, english- hindi, code-mixed, social, media, content. In: Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP), Doha, Qatar, pp 974–979. https://doi.org/10.3115/v1/d14-1105
3. King B, Abney S (2013) Labeling the languages of words in mixed-language documents using weakly supervised methods. in: Proceedings of the Conference of the North American chapter of the association for computational linguistics: human languages technologies, pp 1110–1119
4. Chanda A, Das D, Mazumdar C (2016) Unraveling the english-bengali code-mixing phenomenon. In: Proceedings of the second workshop on computational approaches to code-switching, pp. 80–89. https://doi.org/10.18653/v1/w16-5810
5. Barman U, Wagner J, Chrupala G, Foster J (2014) Code mixing: word-level language classification with code-mixed data. In: Proceedings of the first workshop on computational approaches to code switching, pp 127–132