CS-Tacotron-Pytorch

An implementation of Tacotron 2 that supports multilingual experiments with parameter-sharing, code-switching, and voice cloning.

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

Implementation of meta-transfer-learning for ASR and LM (ACL 2020)

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

Multilingual Meta-Embeddings for Named Entity Recognition (RepL4NLP & EMNLP 2019)

Code-switching patterns can be an effective route to improve performance of downstream NLP applications: A case study of humour, sarcasm and hate speech detection

Code-Switching Language Modeling using Syntax-Aware Multi-Task Learning (CALCS 2018, ACL)

Unsupervised Sentiment Analysis for Code-mixed Data

A sequence tagging model with active learning

Mixed Speech with Korean and English Dataset