Resources and components for gujarati NLP systems: a survey-Reference-Cited by-同舟云学术

Resources and components for gujarati NLP systems: a survey

Published:2022-01-16 Issue:7 Volume:55 Page:1-19
ISSN:0269-2821
Container-title:Artificial Intelligence Review
language:en
Short-container-title:Artif Intell Rev

Author:

Desai Nikita P.^ORCID,Dabhi Vipul K.^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Link

https://link.springer.com/content/pdf/10.1007/s10462-021-10120-1.pdf

Reference68 articles.

1. Ameta J, Joshi N, Mathur I (2011) A lightweight stemmer for gujarati. http://cogprints.org/9059/

2. Ameta J, Joshi N, Mathur I (2013) Improving the quality of gujarati-hindi machine translation through part-of-speech tagging and stemmer-assisted transliteration. http://cogprints.org/9068/

3. Aswani N, Gaizauskas RJ (2010) Developing morphological analysers for south asian languages: Experimenting with the hindi and gujarati languages. In: LREC, pp. 811–815

4. Balumuri S, Bachina S, Kamath S (2021) Sb_nitk at mediqa 2021: Leveraging transfer learning for question summarization in medical domain. In: Proceedings of the 20th workshop on biomedical language processing, pp. 273–279

5. Baskaran S, Bali K, Bhattacharya T, Bhattacharyya P, Jha GN et al. (2008) A common parts-of-speech tagset framework for indian languages. In: Proceeding of LREC 2008

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