Lexical Information of Persian Transitive Verbs during Sentence Comprehension.
This article investigates the nature of lexical information in the lexical entries of Persian transitive verbs. In the first experiment transitive verbs were categorized into five groups. What differentiates them is the number of argumental structural and subcategorization frame options of each verb...
| Publicado en: | Iranian Studies Vol. 46; no. 6; pp. 959 - 972 |
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| Autores principales: | , |
| Formato: | Artículo |
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Cambridge University Press
Nov2013
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=91668041&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 91668041 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00210862 J3X jtl: Iranian Studies issn: 00210862 maglogo: N pubinfo: dt: Nov2013 vid: 46 iid: 6 pid: 21253 pub: Cambridge University Press artinfo: ui: 91668041 10.1080/00210862.2013.810076 ppf: 959 ppct: 13 formats: tig: atl: Lexical Information of Persian Transitive Verbs during Sentence Comprehension. aug: au: Mehrabi, Masoumeh Zaker, Arman su: Persian language Lexical grammar Cognitive processing of language Transitivity (Grammar) Sentences (Grammar) Argument Verbs Nouns Grammar sug: subj: Persian language Lexical grammar Cognitive processing of language Transitivity (Grammar) Sentences (Grammar) Argument Verbs Nouns Grammar ab: This article investigates the nature of lexical information in the lexical entries of Persian transitive verbs. In the first experiment transitive verbs were categorized into five groups. What differentiates them is the number of argumental structural and subcategorization frame options of each verb. The question is: which one is more fundamental in sentence processing? In the second test the question is whether the number of argument(s) and complement(s) in each option determines processing time. Twenty normal native speakers of Farsi participated in these tests, divided into two groups. Cross-modal lexical decision method was used here. Using the DMDX software program the tests were performed and using t-tests the data were analyzed. The results of the first test show that both the argumental structure and subcategorization frame possibilities of the verb can affect sentence processing time. Also the important role of the number of the complement(s) needed for a specific verb has been indicated by the second test results. Overall results show that the verb type of a sentence and sentence syntactic complexity determine the processing time. This has some implications for teaching Farsi to foreign language learners for whom knowing more verbs leads to making more grammatical sentences. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2013 holdings: @attributes: islocal: N |
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