Meta Embeddings for LinCE Dataset
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-7874-6_26
Reference15 articles.
1. Thara S, Poornachandran P (2018) Code-mixing: a brief survey. In: 2018 international conference on advances in computing, communications and informatics (ICACCI). IEEE, pp 2382–2388
2. Sravani L, Reddy AS, Thara S (2018) A comparison study of word embedding for detecting named entities of code-mixed data in Indian language. In: 2018 international conference on advances in computing, communications and informatics (ICACCI). IEEE, pp 2375–2381
3. Aguilar G, Kar S, Solorio T (2020) LinCE: a centralized benchmark for linguistic code-switching evaluation. arXiv:2005.04322
4. Chaitanya I et al (2018) Word level language identification in code-mixed data using word embedding methods for indian languages. In: 2018 international conference on advances in computing, communications and informatics (ICACCI). IEEE
5. Veena PVM, Kumar A, Soman KP (2017) An effective way of word-level language identification for code-mixed facebook comments using word-embedding via character-embedding. In: 2017 International conference on advances in computing, communications and informatics (ICACCI). IEEE
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