Enhancing Code-Mixing in Named Entity Recognition: A Comprehensive Survey of Deep Learning Models

Author:

Khade Omkar1,Jagdale Shruti1,Takalikar Gauri1,Inamdar Mihir1,Joshi Raviraj2,Ghotkar Archana S.1

Affiliation:

1. Pune Institute of Computer Technology,Department of Information Technology,Pune,India

2. L3Cube,Pune,India

Publisher

IEEE

Reference17 articles.

1. BERTologiCoMix: How does Code-Mixing interact with Multilingual BERT?;Santy,2021

2. Improvised Transformer Network for NER on Low Resource EnglishHindi Code-Mixed Language from Scratch

3. L3CubeHingCorpus and HingBERT: A Code Mixed Hindi-English Dataset and BERT Language Models;Nayak

4. A Survey of Current Datasets for Code-Switching Research

5. HinGE: A Dataset for Generation and Evaluation of Code-Mixed Hinglish Text

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