Post
45
Spanglish. Hinglish. Franglais. Real users don't speak textbook languages š
500M+ Indians type messages like the below example, Most NLP pipelines fail silently on code-switched text, so I built something to start closing that gap for regional language
Fine-tuned MuRIL on 3,000 synthetic Hinglish examples. 97.6% F1.
Not perfect, but open, working, and hopefully useful.
"bhai mera refund kab aayega" ā refund_status ā
"wrong item aaya hai" ā exchange_product ā
"payment cut ho gaya order nahi hua" ā payment_issue ā
š¤ Hari5115/hinglish-retail-intent-classifier
š¦ Hari5115/hinglish-retail-intent-dataset
š Hari5115/hinglish-retail-intent-demo
Building for multilingual markets? Have real code-switched data? Would love to connect š
#Hindi #IndianAI #RegionalNLP #NLP #MultilingualAI #OpenSource
500M+ Indians type messages like the below example, Most NLP pipelines fail silently on code-switched text, so I built something to start closing that gap for regional language
Fine-tuned MuRIL on 3,000 synthetic Hinglish examples. 97.6% F1.
Not perfect, but open, working, and hopefully useful.
"bhai mera refund kab aayega" ā refund_status ā
"wrong item aaya hai" ā exchange_product ā
"payment cut ho gaya order nahi hua" ā payment_issue ā
š¤ Hari5115/hinglish-retail-intent-classifier
š¦ Hari5115/hinglish-retail-intent-dataset
š Hari5115/hinglish-retail-intent-demo
Building for multilingual markets? Have real code-switched data? Would love to connect š
#Hindi #IndianAI #RegionalNLP #NLP #MultilingualAI #OpenSource