Analysis of Various Stemming Algorithms for Limbu Language
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-2053-8_25
Reference10 articles.
1. Almuzaini HA, Azmi AM (2020) Impact of stemming and word embedding on deep learning-based Arabic text categorization. IEEE Access 8:127913–127928. https://doi.org/10.1109/ACCESS.2020.3009217
2. Koirala P, Shakya A (2020) A Nepali rule based stemmer and its performance on different NLP applications. https://api.semanticscholar.org/CorpusID:211258803
3. Shrestha I, Dhakal SS (2016) A new stemmer for Nepali language. https://doi.org/10.1109/ICACCAF.2016.7749008
4. Sugumar R, Priya MR (2018) Improved performance of stemming using enhanced porter stemmer algorithm for information retrieval. Int J Eng Sci Res Technol 7(4):8745. https://doi.org/10.5281/zenodo.1228745
5. Karaa WBA (2013) A new stemmer to improve information retrieval. Int J Netw Sec Appl 5(4):1140
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