Dizziness and vertigo are the most common complaints of patients that has a high economic burden on the health system. In modern medicine, treatment for dizziness and vertigo consists of chemical pharmacological therapy. Although these drugs are useful in controlling the disease, their side effects and inefficiency in full control of the disease require the use of complementary medicine in this...

Sorting Persian strings is a common challenge for many users that develop web-based database applications. This issue occurs more frequently while using Persian data. To the best of our knowledge almost many versions of several DBMS do not support Persian strings sorting properly. In this paper we present a Java pattern for solving this issue. Our object-oriented solution consists of three clas...

Statistical Machine Translation (SMT) relies on the availability of rich parallel corpora. However, in the case of under-resourced languages or some specific domains, parallel corpora are not readily available. This leads to under-performing machine translation systems in those sparse data settings. To overcome the low availability of parallel resources the machine translation community has rec...

BACKGROUND Neural correlates of single word reading with the use of a functional MRI (fMRI) scan have been widely studied in different languages. These study patterns of cortical activation differ in different languages. In this report we used a similar technique to study cortical activation when reading single Persian words. METHODS The subjects were comprised of nine healthy right-handed bi...

The aim of this article is to share our experiences from an international collaborative effort to study health outcomes among Saudi Arabian National Guard (SANG) soldiers following the 1991 Gulf War. By paying particular attention to distinct social and religious customs, geopolitical differences, and unique aspects of the health care system, we achieved a successful international collaboration...

Automatic transformation of paper documents into electronic documents requires document segmentation at the first stage. However, some parameters restrictions such as variations in character font sizes, different text line spacing, and also not uniform document layout structures altogether have made it difficult to design a general-purpose document layout analysis algorithm for many years. Thus...

Many NLP applications need fundamental tools to convert the input text into appropriate form or format and extract the primary linguistic knowledge of words and sentences. These tools perform segmentation of text into sentences, words and phrases, checking and correcting the spellings, doing lexical and morphological analysis, POS tagging and so on. Persian is among languages with complex prepr...

One of the central problems in building broad-coverage story understanding systems is generating expectations about event sequences, i.e. predicting what happens next given some arbitrary narrative context. In this paper, we describe how a large corpus of stories extracted from Internet weblogs was used to learn a probabilistic model of event sequences using statistical language modeling techni...