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A Review of the Marathi Natural Language Processing

arXiv 2412.15471 ↗First posted 20 Dec 2024cs.CLcited by 0

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Abstract (arXiv)

Marathi is one of the most widely used languages in the world. One might expect that the latest advances in NLP research in languages like English reach such a large community. However, NLP advancements in English didn't immediately reach Indian languages like Marathi. There were several reasons for this. They included diversity of scripts used, lack of (publicly available) resources like tokenization strategies, high quality datasets & benchmarks, and evaluation metrics. In addition to this, the morphologically rich nature of Marathi, made NLP tasks challenging. Advances in Neural Network (NN) based models and tools since the early 2000s helped improve this situation and make NLP research more accessible. In the past 10 years, significant efforts were made to improve language resources for all 22 scheduled languages of India. This paper presents a broad overview of evolution of NLP research in Indic languages with a focus on Marathi and state-of-the-art resources and tools available to the research community. It also provides an overview of tools & techniques associated with Marathi NLP tasks.

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References · 39

  1. 2017Attention Is All You Needcited by 60,361
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  3. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,599
  4. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,372
  5. 2015Distilling the Knowledge in a Neural Networkcited by 10,324
  6. 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,893
  7. 2019BERTScore: Evaluating Text Generation with BERTcited by 5,512
  8. 2014Neural Machine Translation by Jointly Learning to Align and Translatecited by 4,548
  9. 2013Efficient Estimation of Word Representations in Vector Spacecited by 4,375
  10. 2019DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lightercited by 4,307
  11. 2014Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translationcited by 4,057
  12. 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,935
27 more
  1. 2014Sequence to Sequence Learning with Neural Networkscited by 2,986
  2. 2015Neural Machine Translation of Rare Words with Subword Unitscited by 2,918
  3. 2019ALBERT: A Lite BERT for Self-supervised Learning of Language Representationscited by 2,790
  4. 2014Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modelingcited by 2,367
  5. 2018Deep contextualized word representationscited by 2,290
  6. 2018SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processingcited by 1,989
  7. 2020mT5: A massively multilingual pre-trained text-to-text transformercited by 1,818
  8. 2018A Call for Clarity in Reporting BLEU Scorescited by 1,799
  9. 2016Enriching Word Vectors with Subword Informationcited by 1,583
  10. 2016Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translationcited by 1,475
  11. 2022No Language Left Behind: Scaling Human-Centered Machine Translationcited by 1,312
  12. 2014On the Properties of Neural Machine Translation: Encoder-Decoder Approachescited by 1,304
  13. 2020BLEURT: Learning Robust Metrics for Text Generationcited by 1,203
  14. 2020COMET: A Neural Framework for MT Evaluationcited by 1,033
  15. 2020Stanza: A Python Natural Language Processing Toolkit for Many Human Languagescited by 723
  16. 2020Language-agnostic BERT Sentence Embeddingcited by 627
  17. 2021The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translationcited by 560
  18. 2019CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Datacited by 548
  19. 2023IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languagescited by 152
  20. 2021Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languagescited by 136
  21. 2020Automatic Machine Translation Evaluation in Many Languages via Zero-Shot Paraphrasingcited by 115
  22. 2022L3Cube-MahaCorpus and MahaBERT: Marathi Monolingual Corpus, Marathi BERT Language Models, and Resourcescited by 51
  23. 2014Addressing the Rare Word Problem in Neural Machine Translationcited by 50
  24. 2020AI4Bharat-IndicNLP Corpus: Monolingual Corpora and Word Embeddings for Indic Languagescited by 44
  25. 2020iNLTK: Natural Language Toolkit for Indic Languagescited by 24
  26. 2020A Multilingual Parallel Corpora Collection Effort for Indian Languagescited by 16
  27. 2023mahaNLP: A Marathi Natural Language Processing Librarycited by 3

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