A pattern based approach for the derivation of base forms of verbs from participles and tenses for flexible NLP

Raj, R.G. and Abdul-Kareem, S. (2011) A pattern based approach for the derivation of base forms of verbs from participles and tenses for flexible NLP. Malaysian Journal of Computer Science, 24 (2). pp. 63-72.

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Official URL: http://ejum.fsktm.um.edu.my/article/1059.pdf

Abstract

Natural Language Processing (NLP) is an integral part of a conversation and by proxy an integral part of a chatterbot. Building a complete vocabulary for a chatterbot is a prohibitively time and effort intensive endeavor and thus makes a learning chatterbot a much more efficient alternative. Learning can be performed from many facets including individual words to phrases and concepts. From the perspective of words, the grammatical parts of speech become important since they allow meaning and structure to be derived from a sentence. Verbs tend to be unique since they have different forms, namely participles and tenses. As such we present an algorithm to derive the base verb from any participle or tense.

Item Type: Article
Funders: UNSPECIFIED
Uncontrolled Keywords: Tense, participle, algorithm, pattern
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Faculty of Computer Science & Information Technology > Department of Artificial Intelligence
Depositing User: Ms Maisarah Mohd Muksin
Date Deposited: 01 Apr 2013 02:27
Last Modified: 01 Apr 2013 02:27
URI: http://eprints.um.edu.my/id/eprint/5293

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