Resources

Shared Tasks

HinglishEval at INLG 2022: Quality Evaluation of the Low-Resource Synthetically Generated Code-Mixed Hinglish Text. [Website] [CodaLab] [Dataset]
MixMT at WMT 2022: Code-mixed machine translation. [Website] [Codalab]

Tutorials

Vivek Srivastava and Mayank Singh. Code-Mixed NLG: Resources, Metrics, and Challenges. CODS-COMAD 2022. [Slides]
Vivek Srivastava. Lessons, Insights, and Opportunities with the Metrics for Code-Mixing. ICON 2021. [Slides]

Datasets

MUTANT: A Multi-sentential Code-mixed Hinglish Dataset. [Dataset]
MMT: A Multilingual and Multi-Topic Indian Social Media Dataset. [Dataset]
HinGE: A Dataset for Generation and Evaluation of Code-Mixed Hinglish Text. [Dataset]
PoliWAM: An Exploration of a Large Scale Corpus of Political Discussions on WhatsApp Messenger. [Dataset]
PHINC: A Parallel Hinglish Social Media Code-Mixed Corpus for Machine Translation. [Dataset]

Google Sites

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