mlsanityData to 14 Oct 2026

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

arXiv 2205.14728 ↗First posted 29 May 2022cs.CL cs.LGcited by 31

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Abstract (arXiv)

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.

Key facts. Cited by 31 papers in the map (data through 14 Oct 2026). Builds on 14 of its 19 references that are in the map. First posted on arXiv 29 May 2022.

Builds on

14 of 19 references.

References · 14

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,935
  3. 2016Enriching Word Vectors with Subword Informationcited by 1,583
  4. 2020Pre-trained Models for Natural Language Processing: A Surveycited by 505
  5. 2022L3Cube-MahaCorpus and MahaBERT: Marathi Monolingual Corpus, Marathi BERT Language Models, and Resourcescited by 51
  6. 2021L3CubeMahaSent: A Marathi Tweet-based Sentiment Analysis Datasetcited by 31
  7. 2020Deep Learning for Hindi Text Classification: A Comparisoncited by 22
  8. 2022L3Cube-MahaHate: A Tweet-based Marathi Hate Speech Detection Dataset and BERT modelscited by 21
  9. 2022L3Cube-MahaNER: A Marathi Named Entity Recognition Dataset and BERT modelscited by 21
  10. 2021Experimental Evaluation of Deep Learning models for Marathi Text Classificationcited by 19
  11. 2021Hate and Offensive Speech Detection in Hindi and Marathicited by 18
  12. 2022Mono vs Multilingual BERT for Hate Speech Detection and Text Classification: A Case Study in Marathicited by 16
2 more
  1. 2020Bangla Text Classification using Transformerscited by 10
  2. 2022Mono vs Multilingual BERT: A Case Study in Hindi and Marathi Named Entity Recognitioncited by 5

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 3; 2023: 9; 2024: 11; 2025: 3; 2026: 5.

31 papers.

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  1. 2022L3Cube-HindBERT and DevBERT: Pre-Trained BERT Transformer models for Devanagari based Hindi and Marathi Languagescited by 35
  2. 2024Adapting Multilingual LLMs to Low-Resource Languages using Continued Pre-training and Synthetic Corpuscited by 24
  3. 2023L3Cube-IndicSBERT: A simple approach for learning cross-lingual sentence representations using multilingual BERTcited by 15
  4. 2024Challenges in Adapting Multilingual LLMs to Low-Resource Languages using LoRA PEFT Tuningcited by 14
  5. 2024On Limitations of LLM as Annotator for Low Resource Languagescited by 12
  6. 2022L3Cube-MahaSBERT and HindSBERT: Sentence BERT Models and Benchmarking BERT Sentence Representations for Hindi and Marathicited by 10
  7. 2024L3Cube-IndicQuest: A Benchmark Question Answering Dataset for Evaluating Knowledge of LLMs in Indic Contextcited by 10
  8. 2023L3Cube-MahaSent-MD: A Multi-domain Marathi Sentiment Analysis Dataset and Transformer Modelscited by 6
  9. 2024L3Cube-MahaNews: News-based Short Text and Long Document Classification Datasets in Marathicited by 6
  10. 2023Breaking Language Barriers: A Question Answering Dataset for Hindi and Marathicited by 5
  11. 2024Chain-of-Translation Prompting (CoTR): A Novel Prompting Technique for Low Resource Languagescited by 5
  12. 2025IndicSQuAD: A Comprehensive Multilingual Question Answering Dataset for Indic Languagescited by 5
19 more
  1. 2022Spread Love Not Hate: Undermining the Importance of Hateful Pre-training for Hate Speech Detectioncited by 4
  2. 2023mahaNLP: A Marathi Natural Language Processing Librarycited by 3
  3. 2023My Boli: Code-mixed Marathi-English Corpora, Pretrained Language Models and Evaluation Benchmarkscited by 2
  4. 2023Robust Sentiment Analysis for Low Resource languages Using Data Augmentation Approaches: A Case Study in Marathicited by 2
  5. 2023L3Cube-MahaSocialNER: A Social Media based Marathi NER Dataset and BERT modelscited by 2
  6. 2024MahaSQuAD: Bridging Linguistic Divides in Marathi Question-Answeringcited by 2
  7. 2024Universal Cross-Lingual Text Classificationcited by 2
  8. 2025L3Cube-MahaEmotions: A Marathi Emotion Recognition Dataset with Synthetic Annotations using CoTR prompting and Large Language Modelscited by 2
  9. 2024L3Cube-MahaSum: A Comprehensive Dataset and BART Models for Abstractive Text Summarization in Marathicited by 1
  10. 2024Long Range Named Entity Recognition for Marathi Documentscited by 1
  11. 2025MahaParaphrase: A Marathi Paraphrase Detection Corpus and BERT-based Modelscited by 1
  12. 2023Enhancing Low Resource NER Using Assisting Language And Transfer Learningcited by 0
  13. 2023On Significance of Subword tokenization for Low Resource and Efficient Named Entity Recognition: A case study in Marathicited by 0
  14. 2024Curating Stopwords in Marathi: A TF-IDF Approach for Improved Text Analysis and Information Retrievalcited by 0
  15. 2026IndicGuard: A Multilingual Safety Guard Model and Dataset for Indic Languagescited by 0
  16. 2026BERT-based Models vs. Large Language Models for Low-Resource Named Entity Recognition: A Comparative Study on Marathicited by 0
  17. 2026L3Cube-IndicQuest v2: A Large-Scale Multilingual Benchmark for Evaluating Factual Knowledge of Large Language Models Across Indic Languagescited by 0
  18. 2026Named Entity Recognition using Sliding Window Approachcited by 0
  19. 2026Robust Marathi Sentiment Analysis using Domain-Adaptive Pre-training and Data Augmentation Approachescited by 0