2 papers
cs.CL2023
CONFLATOR: Incorporating Switching Point based Rotatory Positional Encodings for Code-Mixed Language Modeling
Mohsin Ali, Kandukuri Sai Teja, Neeharika Gupta +5
The mixing of two or more languages is called Code-Mixing (CM). CM is a social norm in multilingual societies. Neural Language Models (NLMs) like transformers have been effective o…
cs.CL2021
PESTO: Switching Point based Dynamic and Relative Positional Encoding for Code-Mixed Languages
Mohsin Ali, Kandukuri Sai Teja, Sumanth Manduru +2
NLP applications for code-mixed (CM) or mix-lingual text have gained a significant momentum recently, the main reason being the prevalence of language mixing in social media commun…