BACKGROUND Baecke Habitual Physical Activity Questionnaire (BHPAQ) has widely been employed in clinical and laboratorial studies as a tool for measuring subjects' physical activities. But, the reliability and validity of this questionnaire have not been investigated among Persian speakers. OBJECTIVES Therefore, the aim of the current study was examining the reliability and validity of the Per...

Oxford Elbow Score (OES) is a patient-reported questionnaire used to assess outcomes after elbow surgery. The aim of this study was to validate and adapt the OES into Persian language. After forward-backward translation of the OES into Persian, a total number of 92 patients after elbow surgeries completed the Persian OES along with the Persian DASH and SF-36. To assess test-retest reliability, ...

Nowadays, many daily human activities such as education, trade, talks, etc are done by using the Internet. In such things as registration on Internet web sites, hackers write programs to make automatic false registration that waste the resources of the web sites while it may also stop it from functioning. Therefore, human users should be distinguished from computer programs. To this end, this p...

Nowadays, Wordnet is used in natural language processing as one of the major linguistic resources. Having such a resource for Persian language helps researchers in computational linguistics and natural language processing fields to develop more accurate systems with higher performances. In this research, we propose a model for semi-automatic construction of Persian wordnet of verbs. Compound ve...

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...

In statistical machine translation, data sparsity is a challenging problem especially for languages with rich morphology and inconsistent orthography, such as Persian. We show that orthographic preprocessing and morphological segmentation of Persian verbs in particular improves the translation quality of Persian-English by 1.9 BLEU points on a blind test set.

The present research is a descriptive corpus-based translation study aiming at pinpointing the patterns of translation into Persian when dealing with English Verb Phrase Ellipsis (VPE). After scrutiny of the strategies applied by Persian translators some regular patterns were drawn, with the exception that the observed translation behavior may be taken as advantageous information for improving ...

BACKGROUND Fear of falling may be related to falling during stroke onset. The Fall Efficacy ScaleInternational (FES-I) with excellent psychometric properties, is an instrument developed to assess patients' concerns about fallings. The aim of this study was to determine validation of this scale in Iranian patients with stroke. METHODS The "forward-backward" procedure was applied to translate t...

Spelling errors in digital documents are often caused by operational and cognitive mistakes, or by the lack of full knowledge about the language of the written documents. Computer-assisted solutions can help to detect and suggest replacements. In this paper, we present a new string distance metric for the Persian language to rank respelling suggestions of a misspelled Persian word by considerin...

A novel technique is introduced for verb and inflection detection in Persian texts. This recognition can be useful for preprocessing phase in natural language processing (NLP) and text mining like partof-speech (POS) tagging and sentence boundary detection (SBD) in Persian texts. Our technique employs structural information of Persian verb for the first phase of this detection and then uses the...