A self-attention hybrid emoji prediction model for code-mixed language: (Hinglish)

Author:

Himabindu Gadde Satya Sai Naga,Rao Rajat,Sethia Divyashikha

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Human-Computer Interaction,Media Technology,Communication,Information Systems

Reference50 articles.

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2. Bahdanau D, Cho K, Bengio Y (2014) Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473

3. Bali K, Sharma J, Choudhury M, Vyas Y (2014) “I am borrowing ya mixing?” An analysis of english–hindi code mixing in facebook. In: Proceedings of the first workshop on computational approaches to code switching, pp 116–126

4. Barbieri F, Ballesteros M, Saggion H (2017) Are emojis predictable? arXiv preprint arXiv:1702.07285

5. Barbieri F, Camacho-Collados J, Ronzano F, Anke LE, Ballesteros M, Basile V, Patti V, Saggion H (2018) SemEval 2018 task 2: multilingual emoji prediction. In: Proceedings of The 12th international workshop on semantic evaluation, pp 24–33

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