Part of Speech Tagging in Urdu: Comparison of Machine and Deep Learning Approaches

In Urdu, part of speech (POS) tagging is a challenging task as it is both inflectionally and derivationally rich morphological language. Verbs are generally conceived a highly inflected object in Urdu comparatively to nouns. POS tagging is used as a preliminary linguistic text analysis in diverse na...

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Autori principali:	Wahab Khan, Ali Daud, Khairullah Khan, Jamal Abdul Nasir, Mohammed Basheri, Naif Aljohani, Fahd Saleh Alotaibi
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2019-01-01
Serie:	IEEE Access
Soggetti:	Urdu part of speech (POS) conditional random field (CRF) support vector machine (SVM) recurrent neural network (RNN) hidden Markov model (HMM)
Accesso online:	https://ieeexplore.ieee.org/document/8636191/
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Part of Speech Tagging in Urdu: Comparison of Machine and Deep Learning Approaches

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