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

arXiv: https://arxiv.org/abs/2205.14728 · HTML: https://mlsanity.com/paper/2205.14728/

## 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 (most cited first, 14 of 14)

- [BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding](https://mlsanity.com/paper/1810.04805/) (2018)
- [Unsupervised Cross-lingual Representation Learning at Scale](https://mlsanity.com/paper/1911.02116/) (2019)
- [Enriching Word Vectors with Subword Information](https://mlsanity.com/paper/1607.04606/) (2016)
- [Pre-trained Models for Natural Language Processing: A Survey](https://mlsanity.com/paper/2003.08271/) (2020)
- [L3Cube-MahaCorpus and MahaBERT: Marathi Monolingual Corpus, Marathi BERT Language Models, and Resources](https://mlsanity.com/paper/2202.01159/) (2022)
- [L3CubeMahaSent: A Marathi Tweet-based Sentiment Analysis Dataset](https://mlsanity.com/paper/2103.11408/) (2021)
- [Deep Learning for Hindi Text Classification: A Comparison](https://mlsanity.com/paper/2001.10340/) (2020)
- [L3Cube-MahaHate: A Tweet-based Marathi Hate Speech Detection Dataset and BERT models](https://mlsanity.com/paper/2203.13778/) (2022)
- [L3Cube-MahaNER: A Marathi Named Entity Recognition Dataset and BERT models](https://mlsanity.com/paper/2204.06029/) (2022)
- [Experimental Evaluation of Deep Learning models for Marathi Text Classification](https://mlsanity.com/paper/2101.04899/) (2021)
- [Hate and Offensive Speech Detection in Hindi and Marathi](https://mlsanity.com/paper/2110.12200/) (2021)
- [Mono vs Multilingual BERT for Hate Speech Detection and Text Classification: A Case Study in Marathi](https://mlsanity.com/paper/2204.08669/) (2022)
- [Bangla Text Classification using Transformers](https://mlsanity.com/paper/2011.04446/) (2020)
- [Mono vs Multilingual BERT: A Case Study in Hindi and Marathi Named Entity Recognition](https://mlsanity.com/paper/2203.12907/) (2022)

## Built on by (most cited first, 30 of 31)

- [L3Cube-HindBERT and DevBERT: Pre-Trained BERT Transformer models for Devanagari based Hindi and Marathi Languages](https://mlsanity.com/paper/2211.11418/) (2022)
- [Adapting Multilingual LLMs to Low-Resource Languages using Continued Pre-training and Synthetic Corpus](https://mlsanity.com/paper/2410.14815/) (2024)
- [L3Cube-IndicSBERT: A simple approach for learning cross-lingual sentence representations using multilingual BERT](https://mlsanity.com/paper/2304.11434/) (2023)
- [Challenges in Adapting Multilingual LLMs to Low-Resource Languages using LoRA PEFT Tuning](https://mlsanity.com/paper/2411.18571/) (2024)
- [On Limitations of LLM as Annotator for Low Resource Languages](https://mlsanity.com/paper/2411.17637/) (2024)
- [L3Cube-MahaSBERT and HindSBERT: Sentence BERT Models and Benchmarking BERT Sentence Representations for Hindi and Marathi](https://mlsanity.com/paper/2211.11187/) (2022)
- [L3Cube-IndicQuest: A Benchmark Question Answering Dataset for Evaluating Knowledge of LLMs in Indic Context](https://mlsanity.com/paper/2409.08706/) (2024)
- [L3Cube-MahaSent-MD: A Multi-domain Marathi Sentiment Analysis Dataset and Transformer Models](https://mlsanity.com/paper/2306.13888/) (2023)
- [L3Cube-MahaNews: News-based Short Text and Long Document Classification Datasets in Marathi](https://mlsanity.com/paper/2404.18216/) (2024)
- [Breaking Language Barriers: A Question Answering Dataset for Hindi and Marathi](https://mlsanity.com/paper/2308.09862/) (2023)
- [Chain-of-Translation Prompting (CoTR): A Novel Prompting Technique for Low Resource Languages](https://mlsanity.com/paper/2409.04512/) (2024)
- [IndicSQuAD: A Comprehensive Multilingual Question Answering Dataset for Indic Languages](https://mlsanity.com/paper/2505.03688/) (2025)
- [Spread Love Not Hate: Undermining the Importance of Hateful Pre-training for Hate Speech Detection](https://mlsanity.com/paper/2210.04267/) (2022)
- [mahaNLP: A Marathi Natural Language Processing Library](https://mlsanity.com/paper/2311.02579/) (2023)
- [My Boli: Code-mixed Marathi-English Corpora, Pretrained Language Models and Evaluation Benchmarks](https://mlsanity.com/paper/2306.14030/) (2023)
- [Robust Sentiment Analysis for Low Resource languages Using Data Augmentation Approaches: A Case Study in Marathi](https://mlsanity.com/paper/2310.00734/) (2023)
- [L3Cube-MahaSocialNER: A Social Media based Marathi NER Dataset and BERT models](https://mlsanity.com/paper/2401.00170/) (2023)
- [MahaSQuAD: Bridging Linguistic Divides in Marathi Question-Answering](https://mlsanity.com/paper/2404.13364/) (2024)
- [Universal Cross-Lingual Text Classification](https://mlsanity.com/paper/2406.11028/) (2024)
- [L3Cube-MahaEmotions: A Marathi Emotion Recognition Dataset with Synthetic Annotations using CoTR prompting and Large Language Models](https://mlsanity.com/paper/2506.00863/) (2025)
- [L3Cube-MahaSum: A Comprehensive Dataset and BART Models for Abstractive Text Summarization in Marathi](https://mlsanity.com/paper/2410.09184/) (2024)
- [Long Range Named Entity Recognition for Marathi Documents](https://mlsanity.com/paper/2410.09192/) (2024)
- [MahaParaphrase: A Marathi Paraphrase Detection Corpus and BERT-based Models](https://mlsanity.com/paper/2508.17444/) (2025)
- [Enhancing Low Resource NER Using Assisting Language And Transfer Learning](https://mlsanity.com/paper/2306.06477/) (2023)
- [On Significance of Subword tokenization for Low Resource and Efficient Named Entity Recognition: A case study in Marathi](https://mlsanity.com/paper/2312.01306/) (2023)
- [Curating Stopwords in Marathi: A TF-IDF Approach for Improved Text Analysis and Information Retrieval](https://mlsanity.com/paper/2406.11029/) (2024)
- [IndicGuard: A Multilingual Safety Guard Model and Dataset for Indic Languages](https://mlsanity.com/paper/2606.22841/) (2026)
- [BERT-based Models vs. Large Language Models for Low-Resource Named Entity Recognition: A Comparative Study on Marathi](https://mlsanity.com/paper/2607.23344/) (2026)
- [L3Cube-IndicQuest v2: A Large-Scale Multilingual Benchmark for Evaluating Factual Knowledge of Large Language Models Across Indic Languages](https://mlsanity.com/paper/2608.15535/) (2026)
- [Named Entity Recognition using Sliding Window Approach](https://mlsanity.com/paper/2609.29682/) (2026)

## 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.