L3Cube-MahaNLP: Marathi Natural Language Processing Datasets, Models, and Library

• URL: http://arxiv.org/abs/2205.14728v2
• Date: Tue, 31 May 2022 15:15:51 GMT
• Title: L3Cube-MahaNLP: Marathi Natural Language Processing Datasets, Models, and Library
• Authors: Raviraj Joshi
• Abstract summary: Despite being the third most popular language in India, the Marathi language lacks useful NLP resources. With L3Cube-MahaNLP, we aim to build resources and a library for Marathi natural language processing. We present datasets and transformer models for supervised tasks like sentiment analysis, named entity recognition, and hate speech detection.
• Score: 1.14219428942199
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Despite being the third most popular language in India, the Marathi language lacks useful NLP resources. Moreover, popular NLP libraries do not have support for the Marathi language. With L3Cube-MahaNLP, we aim to build resources and a library for Marathi natural language processing. We present datasets and transformer models for supervised tasks like sentiment analysis, named entity recognition, and hate speech detection. We have also published a monolingual Marathi corpus for unsupervised language modeling tasks. Overall we present MahaCorpus, MahaSent, MahaNER, and MahaHate datasets and their corresponding MahaBERT models fine-tuned on these datasets. We aim to move ahead of benchmark datasets and prepare useful resources for Marathi. The resources are available at https://github.com/l3cube-pune/MarathiNLP.

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