User-facing applications
Limitation: the lack of end-to-end userfacing applications that interact directly with users in multilingual communities.
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Although computational implementations of grammatical models of C-S exist (Bhat et al., 2016), they do not necessarily generate natural C-S utterances that a bilingual speaker would produce
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Most crucially, current computational approaches to C-S language technologies do not usually take into account the linguistic and social factors that influence why and when speakers/users choose to code-switch.
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Science
Natural language generation
Data Science
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ignoring these studies and data could have serious consequences
the types and functions of C-S between Hindi and English across the TV programs
User-facing applications
Evolution of Code-Switching in Indian Media
Code-Switching in the Indian Multilingual Education System
Computational Approaches to Code-Switching (C-S)
Inefficiency of Multilingual BERT on C-S Tasks
Challenge of Deep Learning for C-S Languages
Massive Multilingual Language Models (LMs)
User-facing applications