Open AccessDevelopment of Part of Speech Tagger Using Deep Learning
Author(s) -
Aarti Singh*,
Charu Verma,
Swagata Seal,
Varsha Singh
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a1531.109119
Subject(s) - hindi , computer science , natural language processing , artificial intelligence , part of speech , part of speech tagging , task (project management) , sentence , word (group theory) , spoken language , speech recognition , sequence labeling , linguistics , philosophy , management , economics
Part of speech tagging is the initial step in development of NLP (natural language processing) application. POS Tagging is sequence labelling task in which we assign Part-of-speech to every word (Wi) which is sequence in sentence and tag (Ti) to corresponding word as label such as (Wi/Ti…. Wn/Tn). In this research project part of speech tagging is perform on Hindi. Hindi is the fourth most popular language and spoken by approximately 4billion people across the globe. Hindi is free word-order language and morphologically rich language due to this applying Part of Speech tagging is very challenging task. In this paper we have shown the development of POS tagging using neural approach.