Parts of Speech Tagging: Rule-Based

Authors

Bao Pham, Harrisburg University of Science and TechnologyFollow

Document Type

Article

Publication Date

Spring 2-19-2020

Abstract

Parts of speech (POS) tagging is the process of assigning a word in a text as corresponding to a part of speech based on its definition and its relationship with adjacent and related words in a phrase, sentence, or paragraph. POS tagging falls into two distinctive groups: rule-based and stochastic. In this paper, a rule-based POS tagger is developed for the English language using Lex and Yacc. The tagger utilizes a small set of simple rules along with a small dictionary to generate sequences of tokens.

Recommended Citation

Pham, B. (2020). Parts of Speech Tagging: Rule-Based. Retrieved from https://digitalcommons.harrisburgu.edu/cisc_student-coursework/2

Start Page No.

1

End Page No.

6

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Comments

An article written on a rule-based part of speech tagger implemented in C through Flex and Yacc.