An Effective Pinglish Filter for Morphological Analyzer of Persian Adjectives
Author(s) -
Sude Tavassoli,
Samane Tavassoli
Publication year - 2011
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/3349-4618
Subject(s) - computer science , spectrum analyzer , persian , filter (signal processing) , natural language processing , linguistics , telecommunications , computer vision , philosophy
Natural language processing (NLP) is a field of computer science and linguistics which concerned to the interactions between computers and human (natural) languages. Morphology is the identification, analysis and description of the structure of morphemes and other units of meaning in a language like words, affixes, and parts of speech. In our previous paper a Two-sided morphology analyst of adjectives in Persian were designed. It divides adjective’s components into their parts of speech or an adjective can be made. Persian words to English form were converted by us. To solve this problem, in this paper a new filter for converting the Persian words to Pinglish format is designed. Using the adjective as an input of morphological analyzer is so easy.
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