Volume 34, Issue 2 (Winter 2019)                   ... 2019, 34(2): 897-922 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Alayiaboozar E. A Corpus-based study of Persian noun and adjective homographs to help right POS tagging. .... 2019; 34 (2) :897-922
URL: http://jipm.irandoc.ac.ir/article-1-3740-en.html
Iranian Research Institute for Information Science and Technology (IranDoc)
Abstract:   (1653 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 vic e 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 in Persian corpora which makes POS tagging difficult.
Full-Text [PDF 738 kb]   (583 Downloads)    
Type of Study: Research | Subject: Information Technology
Received: 2017/10/14 | Accepted: 2018/02/25 | Published: 2018/03/11

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


© 2019 All Rights Reserved | Iranian Journal of Information processing and Management

Designed & Developed by : Yektaweb