9 citations · 9 across the 3 of their papers we have counts for
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From Machine Translation to Code-Switching: Generating High-Quality Code-Switched Text
Ishan Tarunesh, Syamantak Kumar, Preethi Jyothi
Generating code-switched text is a problem of growing interest, especially given the scarcity of corpora containing large volumes of real code-switched text. In this work, we adapt…
Meta-Learning for Effective Multi-task and Multilingual Modelling
Ishan Tarunesh, Sushil Khyalia, Vishwajeet Kumar +2
Natural language processing (NLP) tasks (e.g. question-answering in English) benefit from knowledge of other tasks (e.g. named entity recognition in English) and knowledge of other…
Stem-driven Language Models for Morphologically Rich Languages
Yash Shah, Ishan Tarunesh, Harsh Deshpande +1
Neural language models (LMs) have shown to benefit significantly from enhancing word vectors with subword-level information, especially for morphologically rich languages. This has…