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Automatic POS Tagging of Bhojpuri: A Comparative Study with Hindi

Automatic POS Tagging of Bhojpuri: A Comparative Study with Hindi

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Description
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.
Product details
Binding:
Paperback
Number of Pages:
276
Release Date:
2025-11-03
Publication Date:
2025-11-03
Publisher:
LAP LAMBERT Academic Publishing
Languages:
Original: English
ISBN10:
6209197302
ISBN13:
9786209197307
GPSR Manufacturer Reference:
Weight:
429 g
Height:
150 cm
Width:
220 cm
Thickness:
17 cm
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