Automatic POS Tagging of Bhojpuri: A Comparative Study with Hindi
(Sprache: Englisch)
This work is one of the initial experiments towards creating the automatic Part-of Speech (POS) tagger for Bhojpuri language. Bhojpuri is a lesser resource language and does not have much technology available, therefore, this work presents the first big...
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This work is one of the initial experiments towards creating the automatic Part-of Speech (POS) tagger for Bhojpuri language. Bhojpuri is a lesser resource language and does not have much technology available, therefore, this work presents the first big representative Bhojpuri corpus of approx 2,67,000 tokens from different domains and a SVM (Support Vector Machine) based POS tagger trained on this corpus. The accuracy of the tagger achieved under this experiment is approx. 87 %. This work also cover a detail guideline of annotating Bhojpuri corpus following BIS scheme and a comparative analysis of performances of Bhojpuri and Hindi POS taggers trained with SVM model.
Bibliographische Angaben
- Autor: Srishti Singh
- 2018, 276 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 6138389921
- ISBN-13: 9786138389927
Sprache:
Englisch
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