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Language Identification of Devanagari Poems
December 30, 2020 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Priyankit Acharya, Aditya Ku. Pathak, Rakesh Ch. Balabantaray, Anil Ku. Singh
arXiv ID
2012.15023
Category
cs.CL: Computation & Language
Citations
3
Venue
arXiv.org
Last Checked
5 months ago
Abstract
Language Identification is a very important part of several text processing pipelines. Extensive research has been done in this field. This paper proposes a procedure for automatic language identification of poems for poem analysis task, consisting of 10 Devanagari based languages of India i.e. Angika, Awadhi, Braj, Bhojpuri, Chhattisgarhi, Garhwali, Haryanvi, Hindi, Magahi, and Maithili. We collated corpora of poems of varying length and studied the similarity of poems among the 10 languages at the lexical level. Finally, various language identification systems based on supervised machine learning and deep learning techniques are applied and evaluated.
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