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...

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...

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...

BACKGROUND During the past few years, there has been an increasing recognition that Internet is playing a significant role in the synthesis, the distribution and the consumption of Novel Psychoactive Substances (NPS).The aim of this study was to assess the online availability of NPS in Persian language websites. METHODS The Google search engine was used to carry out an accurate qualitative as...

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.

Most recent works on sentiment analysis have exploited the text modality. However, millions of hours video recordings posted social media platforms everyday hold vital unstructured information that can be to more effectively gauge public perception. Multimodal offers an innovative solution computationally understand and harvest sentiments from videos by contextually exploiting audio, visual tex...

Phrases consist of various parts in the Persian and Russian languages. The article presents semantics substantive prepositional phrases with a dependent noun, which are expressed by Ezāfe phrases, “noun + adjective” structure. empirical factual basis study was Russian-Persian dictionaries G. A. Voskanyan, I. K. Ovchinnikova, S. D. Klevtsova dictionary “Sokhan”, edited H. Anvari. scientific nove...

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...

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...

We present a dependency parser for Persian, called ParsPer, developed using the graph-based parser in the Mate Tools. The parser is trained on the entire Uppsala Persian Dependency Treebank with a specific configuration that was selected by MaltParser as the best performing parsing representation. The treebank’s syntactic annotation scheme is based on Stanford Typed Dependencies with extensions...