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Code-mixing(CM) is a frequently observed phenomenon that uses multiple languages in an utterance or sentence.
French in urban lubumbashi swahili: Codeswitching, borrowing, or both?,
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Large-scale sentiment analysis for news and blogs.,
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R. Wardhaugh, An introduction to sociolinguistics, volume 28, John Wiley & Sons, 2011
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“i am borrowing ya mixing?” An Analysis of English-Hindi Code Mixing in Facebook,
K. Bali, J. Sharma, M. Choudhury, Y. Vyas, · 2014
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Code mixing: A challenge for language identification in the language of social media,
U. Barman, A. Das, J. Wagner, J. Foster, · 2014
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“ye word kis lang ka hai bhai?” testing the limits of word level language identification,
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Pos tagging of english-hindi code-mixed social media content,
Y. Vyas, S. Gella, J. Sharma, K. Bali, M. Choudhury, · 2014
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Neural machine translation of rare words with subword units,
R. Sennrich, B. Haddow, A. Birch, · 2015
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Shallow parsing pipeline for hindi-english code-mixed social media text,
A. Sharma, S. Gupta, R. Motlani, P. Bansal, M. Srivastava, R. Mamidi, D. M. Sharma, · 2016
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Part-of-speech tagging for code mixed english-telugu social media data,
K. Nelakuditi, D. S. Jitta, R. Mamidi, · 2016
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Towards sub-word level compositions for sentiment analysis of hindi-english code mixed text,
A. Prabhu, A. Joshi, M. Shrivastava, V. Varma, · 2016
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Sentiment analysis on social campaign “swachh bharat abhiyan” using unigram method,
D. K. Tayal, S. K. Yadav, · 2017
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Enriching word vectors with subword information,
P. Bojanowski, E. Grave, A. Joulin, T. Mikolov, · 2017
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Deep contextualized word representations,
M. E. Peters, M. Neumann, M. Iyyer, M. Gardner, C. Clark, K. Lee, L. Zettlemoyer, · 2018
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Gluecos: An evaluation benchmark for code-switched nlp,
S. Khanuja, S. Dandapat, A. Srinivasan, S. Sitaram, M. Choudhury, · 2020
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Named entity recognition for code-mixed indian corpus using meta embedding,
R. Priyadharshini, B. R. Chakravarthi, M. Vegupatti, J. P. McCrae, · 2020
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B. Liu, Sentiment analysis: Mining opinions, sentiments, and emotions, Cambridge university press, 2020
2020
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Semeval-2020 task 9: Overview of sentiment analysis of code-mixed tweets,
P. Patwa, G. Aguilar, S. Kar, S. Pandey, S. PYKL, B. Gambäck, T. Chakraborty, T. Solorio, A. Das, · 2020
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P. Mishra, P. Danda, P. Dhakras, · 2018
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T. Kudo, J. Richardson, · 2018
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T. Kudo, · 2018
Cited alongside, same era.
Word embeddings for code-mixed language processing,
A. Pratapa, M. Choudhury, S. Sitaram, · 2018
Cited alongside, same era.
Overview of the track on Sentiment Analysis for Dravidian Languages in Code-Mixed Text,
B. R. Chakravarthi, R. Priyadharshini, V. Muralidaran, S. Suryawanshi, N. Jose, E. Sherly, J. P. McCrae,
Cited in the paper.
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Overview of the track on Sentiment Analysis for Dravidian Languages in Code-Mixed Text,
B. R. Chakravarthi, R. Priyadharshini, V. Muralidaran, S. Suryawanshi, N. Jose, E. Sherly, J. P. McCrae, · 2020
Later among the works it cites.
A sentiment analysis dataset for code-mixed Malayalam-English,
B. R. Chakravarthi, N. Jose, S. Suryawanshi, E. Sherly, J. P. McCrae, · 2020
Later among the works it cites.
Corpus creation for sentiment analysis in code-mixed Tamil-English text,
B. R. Chakravarthi, V. Muralidaran, R. Priyadharshini, J. P. McCrae, · 2020
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B. R. Chakravarthi, Leveraging orthographic information to improve machine translation of under-resourced languages, Ph.D. thesis, NUI Galway, 2020
2020
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