INTRODUCTION Auditory temporal resolution and auditory temporal ordering are two major components of the auditory temporal processing abilities that contribute to speech perception and language development. Auditory temporal resolution and auditory temporal ordering can be evaluated by gap-in-noise (GIN) and pitch-pattern-sequence (PPS) tests, respectively. In this survey, the effect of bilingu...

How do people conceptualize motion events and talk about them? The current study examines how gestural representations of motion events arise from linguistic expressions in Persian, which has characteristics of both Talmy’s satelliteand verb-framed languages. We examined native Persian speakers’ speech and gestures in describing 20 motion events. We focused on two motion event components: path ...

BACKGROUND The purpose of this study was to examine the psychometric properties (validity and reliability) of Persian version of the 25-item Caring Dimension Inventory (CDI-25). MATERIALS AND METHODS A psychometric instrument validation study was designed. Content validity, internal consistency, and stability were confirmed. A total of 288 participants (143 nurses and 145 nursing students) we...

In this paper we employ a most recent approach to Data Oriented Parsing (DOP), which has named Double-Dop, for Persian sentences. Like other DOP models, Double-Dop parser utilizes syntactic fragments of arbitrary size from a treebank to analyse new sentences, but it extracts a restricted yet representative subset of fragments. It uses only those which are encountered at least twice. The accurac...

This paper investigates the impact of different morphological and lexical information on data-driven dependency parsing of Persian, a morphologically rich language. We explore two state-of-the-art parsers, namely MSTParser andMaltParser, on the recently released Persian dependency treebank and establish some baselines for dependency parsing performance. Three sets of issues are addressed in our...

Valency lexicons are valuable resources for natural language processing. The need for new resources for languages encourages researchers to collect new datasets. One of the most important datasets is valency lexicons. In valency lexicons, information about obligatory and optional complements of words is annotated at the syntactic and semantic levels. In this paper, we report the development of ...

This paper addresses some of the issues learned during the course of building a written language resource (called ‘Peykare’) for contemporary Persian. After defining five linguistic varieties and 24 different registers based on these linguistic varieties, we collected the texts for Peykare to do a linguistic analysis, including cross-register differences. For tokenization of Persian, we have pr...

This paper briefly describes the approach taken to Persian Plagiarism Detection based on modification to the approach used for PAN between 2011 and 2014 in order to adapt to Persian. This effort has offered us the opportunity to evaluate detection performance for the same approach with another language. A key part of the motivation remains that of undertaking plagiarism detection in such a way ...

Stemmers are softwares that find syntactic` roots of the words. They play an important role in natural language processing and other fields such as information retrieval (IR). In IR using stemmed words instead of the original words, could increase as much as 15 percent to the overall performance. In this paper, we report on the development of the first Persian stemmer (Bon). Bon is tested on a ...

This article presents the linguistic bases of Persian light verb constructions and shows the corpus based construction of lists of collocates for some common Persian verbs. The proposed methods of corpus construction are language independent and the good results on a relatively small corpus of 20 million words confirms the power of association measures based on the hypergeometric distribution. ...