BACKGROUND Cerebrovascular disease leading to stroke is the most common cause of aphasia. Speakers with agrammatic non-fluent aphasia have difficulties in production of movement-derived sentences such as passive sentences, topicalized constituents, and Wh-questions. To assess the production of complex sentences, some passive, topicalized and focused sentences were designed for patients with non...

Background and Aim: With regard to the shortage of proper materials in Persian for the evaluation of speech perception in children, this study aimed to develop the Persian version of the BKB sentence test, and determine its content validity in normal Persian speaking children aged 6-12 years. Methods: This study was an applied research. The study procedure comprised sentence construction, deter...

Bilingual parallel corpora are very important in various filed of natural language processing (NLP). The quality of a Statistical Machine Translation (SMT) system strongly dependent upon the amount of training data. For low resource language pairs such as Persian-English, there are not enough parallel sentences to build an accurate SMT system. This paper describes a new approach to use the Wiki...

We use Pregroups to provide an algebraic analysis of Persian sentences. Our analysis hints to some of the profound and subtle properties of the Persian grammar, e.g. similarity of its parsing patterns to Hindi (both descendants of of Sanskrit) and similarity in parsing patterns of its causal subordinate and relative sentences. These findings are facilitated by the use of reduction diagrams, a f...

Parallel data are an important part of a reliable Statistical Machine Translation (SMT) system. The more of these data are available, the better the quality of the SMT system. However, for some language pairs such as Persian-English, parallel sources of this kind are scarce. In this paper, a bidirectional method is proposed to extract parallel sentences from English and Persian document aligned...

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...

background: cerebrovascular disease leading to stroke is the most common cause of aphasia. speakers with agrammatic non-fluent aphasia have difficulties in production of movement-derived sentences such as passive sentences, topicalized constituents, and wh-questions. to assess the production of complex sentences, some passive, topicalized and focused sentences were designed for patients with no...