The main purpose of this research is to find the types of equivalence and shifts in the Persian translation of English complex sentences with wh-subordinate clauses. This study uses a qualitative descriptive method. The English fictions and their Persian translations considered as source of the data. The researcher classifies the data into two main categories: the equivalence and shift. The equ...

In this paper we describe the development of a doctor-patient dialogue corpus to support a speech-to-speech machine translation effort for English-Persian medical dialogues. The corpus was developed by recording and transcribing English-to-English dialogues between medical students and standardized patients (actors who have been trained to portray illness or injury victims), and then translated...

This paper aims to improve the feature extraction of Persian handwritten number recognition systems. In this paper, we introduced nine new features for detection and recognition of Persian handwritten digits using the technique of finding the smallest enclosing disc in computational geometry. All these features are based on the geometry form of numbers and are much better than the features in t...

Named-Entity Recognition (NER) is still a challenging task for languages with low digital resources. The main difficulties arise from the scarcity of annotated corpora and the consequent problematic training of an effective NER pipeline. To abridge this gap, in this paper we target the Persian language that is spoken by a population of over a hundred million people world-wide. We first present ...

In this paper, we investigate the effects of using linguistic information for improvement of statistical machine translation for English-Persian language pair. We choose POS tags as helping linguistic feature. A monolingual Persian corpus with POS tags is prepared and variety of tags is chosen to be small. Using the POS tagger trained on this corpus, we apply a factored translation model. We al...

This paper examines the effects of lexical stress on intensity and duration in Persian both in the presence of the intonational prominence contrast and in the abstraction from the compounding accent condition. A production study was conducted in which 10 speakers produced Persian lexical and reiterant disyllabic minimal stress pairs spoken with and without an accent in a fixed carrier sentence....

In this paper, extracted word features have been used toward offline detection of Persian handwritten words. This has been done using fourteen features in Persian word structure. In this method after required pre-processing, numbers and location of dots versus base line are extracted then the word becomes thin and the feature extraction stage starts. In this stage the words are detected by usin...

BACKGROUND Fatigue, a major cause of disability in individuals with multiple sclerosis (MS), is associated with reduced quality of life. The aim of this study was to evaluate the reliability and reproducibility of the Persian version of Modified Fatigue Impact Scale (MFIS) in Iranian patients with MS. METHODS This study included 15 subjects with clinically definite MS, 15 hospitalized patient...

The Persian Gulf is known as the westernmost distribution limit for sea snakes, except for Hydrophis platurus (Linnaeus, 1766) that reaches southeastern Africa. Previous identification guides for sea snakes of the Persian Gulf and its adjacent waters in the Gulf of Oman were based on old data and confined mostly to written descriptions. Therefore, a series of field surveys were carried out in 2...

A new method for recognition of isolated handwritten Arabic/Persian digits is presented. This method is based on Support Vector Machines (SVMs), and a new approach of feature extraction. Each digit is considered from four different views, and from each view 16 features are extracted and combined to obtain 64 features. Using these features, multiple SVM classifiers are trained to separate differ...