A curated list of research papers and resources on code-switching

CodeSwitch is a NLP tool, can use for language identification, pos tagging, name entity recognition, sentiment analysis of code mixed data.

The main aim of the project is to develop a sentiment analyzer that can be used on twitter data to classify it as positive or negative. Our project takes care of the challenge of bilingual comments, where people tweet in two languages, in this case Hindi and English, in the Latin Alphabet.

CalBERT - Code-mixed Adaptive Language representations using BERT, published at AAAI-MAKE 2022

Unsupervised Sentiment Analysis for Code-mixed Data

Implementation for the paper titled, " Data-Augmentation for Bangla-English Code-Mixed Sentiment Analysis: Enhancing Cross Linguistic Contextual Understanding", IEEE Access, 2023

This repository contains the system description and the codes that we implemented for participating in EACL-2021 shared tasks.

302-Person-Hindi-and-English-Bilingual-Spontaneous-Monologue-smartphone-speech-dataset

The code for SOP project done for the topic of Abuse detection in multilingual code-switched and code-mixed language using federated learning

A code-mixed annotation tool aimed at increasing the annotation quality whilst reducing the annotation time and various overheads associated with code-mixed data.

Tweet ids for code-mixed Russian-German and Russian-Hebrew tweets