l3cube-pune
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README.md
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@@ -18,3 +18,17 @@ HingBERT-LID is a Hindi-English code-mixed language identification BERT model. I
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[dataset link] (https://github.com/l3cube-pune/code-mixed-nlp)
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More details on the dataset, models, and baseline results can be found in our [paper] (https://arxiv.org/abs/2204.08398)
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[dataset link] (https://github.com/l3cube-pune/code-mixed-nlp)
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More details on the dataset, models, and baseline results can be found in our [paper] (https://arxiv.org/abs/2204.08398)
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```
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@InProceedings{nayak-joshi:2022:WILDRE6,
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author = {Nayak, Ravindra and Joshi, Raviraj},
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title = {L3Cube-HingCorpus and HingBERT: A Code Mixed Hindi-English Dataset and BERT Language Models},
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booktitle = {Proceedings of The WILDRE-6 Workshop within the 13th Language Resources and Evaluation Conference},
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month = {June},
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year = {2022},
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address = {Marseille, France},
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publisher = {European Language Resources Association},
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pages = {7--12},
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url = {https://aclanthology.org/2022.wildre6-1.2}
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}
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```
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