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- W4308463453 abstract "AbstractThis paper presents the investigation of the Khasi language toward the PoS tagging systems. Khasi is an Austroasiatic language, which is spoken in Meghalaya, India. The foremost purpose of this paper is to develop part-of-speech (PoS) tagging for the Khasi language based on the support vector machine (SVM) and the Naïve Bayes (NB). This work is the first instance using SVM and NB approaches in Khasi for PoS tagging. Part-of-speech tagging performs a vital role in natural language processing (NLP). In this research work, we have used a PoS tagging corpus that is manually tagged by using the designed grammatical PoS classes. The annotation is done using 53 tags, and the corpus consists of around 75,000 tokens. The PoS tagging system is trained and tested with a ratio of 80:20. It is found that the system yielded promising outcomes while comparing the state-of-art results.KeywordsNatural language processing (NLP)Parts-of-speech (PoS) taggingKhasi word taggingSupport vector machine (SVM)Khasi PoS corpus" @default.
- W4308463453 created "2022-11-12" @default.
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- W4308463453 date "2022-11-08" @default.
- W4308463453 modified "2023-10-16" @default.
- W4308463453 title "Investigating Part-of-Speech Tagging in Khasi Using Naïve Bayes and Support Vector Machine" @default.
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- W4308463453 doi "https://doi.org/10.1007/978-981-19-3679-1_11" @default.
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