Articles accepted at the time of publication                   Back to the articles list | Back to browse issues page


XML Persian Abstract Print


1- PhD student in Linguistics, Department of Linguistics Takestan branch, Islamic Azad University, Takestan, Iran
2- Assistant Professor, Department of Linguistics, Takestan Branch, Islamic Azad University,Takestan, Iran , n_arjmandi@yahoo.com
3- Assistant Professor, Department of Linguistics, Takestan Branch, Islamic Azad University,Takestan, Iran
4- Assistant Professor, Department of Linguistics Science & Research branch, Islamic Azad University,Tehran, Iran
Abstract:   (931 Views)
 
The Study of the productivity of compound noun maker patterns in Persian Language
 Abstract:
The present research investigates the productivity of compound noun maker patterns in Persian language based on the theoretical framework of Plag (2003). For this purpose, the authors have extracted 1300 compound nouns from a corpus taken from Persian language database (PLDB). The method of the present research is descriptive-analytic and data collecting is based on library studies. After the study of collected data of research, the authors have concluded that the quantitative method for measuring the productivity of word formation processes introduced by Plag (2003) is to count the outputs of a word formation process. Also, different methods of measuring the productivity rate of compound noun maker patterns offer different results. Analysis of the extracted data from the research corpus shows that among the compound noun maker patterns in Persian, (noun + noun) pattern has the highest productivity and these patterns ( pronoun + noun / pronoun + stem of present verb / noun + imperative verb / number + number) have the lowest productivity.
 
Keywords: Nominalization, Productivity, Compound, Compound noun, Hapax legomena.
     

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

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.