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

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)

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.

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

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

A sequence tagging model with active learning

POSIT aims to segment and tag mixed-text that contains English and C-like code, such that the user both knows what a token is, and within the language it's used in, what role, such as an AST tag or PoS tag, it serves.

Repository containing Abusive Tweet Detection, Location Detection and Gender Detection codes

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

Code for "CoVoSwitch: Machine Translation of Synthetic Code-Switched Text Based on Intonation Units" (Accepted at ACL-SRW 2024) 🇹🇭

a socket script to obtain chinese phones-sequence for any english word

Official repository for the paper titled "From Machine Translation to Code-Switching: Generating High-Quality Code-Switched Text" accepted at ACL 2021

Chrome extension for translating highlighted English text into Chinglish (a chinese + english hybrid)

A word level Language Identification (LID) tool for Tagalog-English (Taglish) text.

Code-Switching Sentence Generation by Generative Adversarial Networks and its Application to Data Augmentation. (Interspeech 2019)

Code-switching detection for Pacific languages

This project aims to use existing open-source eye-tracking data from Mandarin Chinese-English bilinguals to train a machine learning model to predict L2 English Language Proficiency based on reading behavior.