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Found 5 papers, 2 papers with code
Towards Offensive Language Identification for Tamil Code-Mixed YouTube Comments and Posts
The experimental results showed that ULMFiT is the best model for this task.
Adapting the Tesseract Open-Source OCR Engine for Tamil and Sinhala Legacy Fonts and Creating a Parallel Corpus for Tamil-Sinhala-English
Since Tamil and Sinhala are Low-Resource Languages, we improved the performance of Tesseract by employing LSTM-based training on more than 20 legacy fonts to recognize printed characters in these languages.
Findings of the Sentiment Analysis of Dravidian Languages in Code-Mixed Text
We received 22 systems for Tamil-English, 15 systems for Malayalam-English, and 15 for Kannada-English.
TamilEmo: Finegrained Emotion Detection Dataset for Tamil
Our MURIL-base model has achieved a 0. 60 macro average F1-score across our 3-class group dataset.
Hypers@DravidianLangTech-EACL2021: Offensive language identification in Dravidian code-mixed YouTube Comments and Posts
Code-Mixed Offensive contents are used pervasively in social media posts in the last few years.
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