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A Corpus-based study of Persian noun and adjective homographs to help right POS tagging
Elham Alayiaboozar
Assistant Professor Iranian Research Institute for Information Science and Technology (IranDoc)
Abstract:   (665 Views)
Present research studies morphological structure of nouns and adjectives; there are two main reasons for studying them in the process of making any POS tagger system for tagging nouns: 1. If the system faces an out of vocabulary word (OOV word), one way to identify its tag would be considering its morphological structure. 2. In Persian, lots of homographs are made due to Persian complex morphology; studying morphological structure of nouns in order to distinguish them from adjectives seems to be necessary, since many adjectives, having the same orthographic forms of nouns, would be wrongly tagged as “noun” or vice versa. After studying morphological structure of nouns and adjectives in present study, Persian writing system is studied; then definition of homographs and the related classifications are presented. Finally, the study uses different famous Persian corpora (including Bijankhan, and syntactical dependency corpus (vabastegi ye nahvi) for searching for homographs (using search tools) and Data center for Persian language (Paygah e Dadegan) whose non-tagged file was available (the homographs are searched and tagged manually)) to make a list of homographs. The result of studying the mentioned list showed that the frequency of homographs, especially those which are made due to identical orthographic form of indefinite morpheme, adjective-maker morpheme and second person inflectional morpheme is high is Persian corpora which makes POS tagging difficult.
Keywords: POS tagger system, morphological structure of Persian nouns and adjectives, Persian writing system, homographs
Full-Text [PDF 938 kb]   (256 Downloads)    
Type of Study: Research | Subject: Information Technology
Received: 2017/10/14 | Accepted: 2018/02/25 | Published: 2018/03/11
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پژوهشنامه پردازش و مدیریت اطلاعات Journal of Information processing and Management
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