Items related to PARTS-OF-SPEECH TAGGING: (A hybrid approach with rule...

PARTS-OF-SPEECH TAGGING: (A hybrid approach with rule based and machine learning techniques) - Softcover

Sree, RJ Rama; Ganesh Thottempudi, Sree

 
9783843391481: PARTS-OF-SPEECH TAGGING: (A hybrid approach with rule based and machine learning techniques)

Synopsis

In corpus linguistics, part-of-speech tagging (POS tagging or POST), also called grammatical tagging or word-category disambiguation, is the process of marking up the words in a text (corpus) as corresponding to a particular part of speech, based on both its definition, as well as its context —ie. relationship with adjacent and related words in a phrase, sentence, or paragraph. A simplified form of this is commonly taught to school-age children, in the identification of words as nouns, verbs,adjectives, adverbs, etc. Once performed by hand, POS tagging is now done in the context of computational linguistics, using algorithms which associate discrete terms, as well as hidden parts of speech, in accordance with a set of descriptive tags. (wiki)

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About the Author

RJ.Rama Sree, working as a Professor in the Department of Computer science, Rashtriya Sanskrit Vidyapeetha, Tirupati. Sree Ganesh Thottempudi is working as a researcher at Department of Language and Communication Studies (ISK), Norwegian University of Science and Technology (NTNU).

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