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

This tool helps automatic generation of grammatically valid synthetic Code-mixed data by utilizing linguistic theories such as Equivalence Constant Theory and Matrix Language Theory.

This code provides word level language identification tool for identifying language for individual words in Code-Mixed text. e.g. The text that includes words from two languages such as Hindi written in roman script, mixed with English.

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.

Natural Language Procesing

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

Pytorch implementation of CS-Tacotron, a code-switching speech synthesis end-to-end generative TTS model.

A curated list of resources dedicated to Code-mixed Natural Language Processing (NLP).

VoiceTut-TTS is an Egyptian-Arabic text-to-speech system fine-tuned from OmniVoice on ~380 hours of Egyptian podcast speech. It produces natural Egyptian speech with seamless Arabic ↔ English code-switching, ships 15 built-in studio voices, supports zero-shot voice cloning

[ACL 2024] 💬 MaskLID: Code-Switching Language Identification through Iterative Masking

Hierarchical Korean-English Code-Switching Speech Recognition Benchmark (EACL Findings 2026) | 한영 혼용 음성인식 벤치마크

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

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

EduMIND — Multimodal Bilingual Lecture Assistant with Anti-Forget RAG, Whisper ASR, VietMix NMT (CMI-aware), and Human-in-the-Loop Active Learning via Label Studio. Built for code-mixed Vietnamese–English academic environments.

Unsupervised Sentiment Analysis for Code-mixed Data

CURE-Med: Curriculum-Informed Reinforcement Learning for Multilingual Medical Reasoning

Implementation of a deep learning model (BiLSTM) to detect code-switching

[EMNLP 2023] Official repository of paper titled "Detecting Propaganda Techniques in Code-Switched Social Media Text"