According to the history, Persian language is one of oldest languages in world that has not lost its features. Following a different times and historical conditions, words, as well Arabic language, influenced vocabulary other languages. The Uzbek no exception this process. From ancient times, use Persian-Tajik was observed side by with countries Mawarannahr, particular language. As result, many...

Semantic lexicons and lexical ontologies are some major resources in natural language processing. Developing such resources are time consuming tasks for which some automatic methods are proposed. This paper describes some methods used in semi-automatic development of FarsNet; a lexical ontology for the Persian language. FarsNet includes the Persian WordNet with more than 10000 synsets of nouns,...

In linguistics, stemming is the operation of reducing words to their more general form, which is called the ‘stem’. Stemming is an important step in information retrieval systems, natural language processing, and text mining. Information retrieval systems are evaluated by metrics like precision and recall and the fundamental superiority of an information retrieval system over another one is mea...

This article studies different aspects of a new approach to word sense disambiguation using statistical information gained from a monolingual corpus of the target language. Here, the source language is English and the target is Persian, and the disambiguation method can be directly applied in the system of English-to-Persian machine translation for solving lexical ambiguity problems in this sys...

lakish dialect in darrehshahr belongs to kurdish language (southern kurdish) and is the common dialect of people who live in darrehshehr town of ilam county that is situated in the west part of iran which is highly changing under the influence of standard persian. the present article surveys linguistic relativity with the emphasis on kinship words of the lakish dialect in darrehshahr. firstly, ...

This paper describes a two-level morphological analyzer for Persian using a system based on the Xerox finite state tools. Persian language presents certain challenges to computational analysis: There is a complex verbal conjugation paradigm which includes long-distance morphological dependencies; phonological alternations apply at morpheme boundaries; word and noun phrase boundaries are difficu...

We propose the use of a hierarchical adaptive network-based fuzzy inference system (HANFIS) for automated speaker verification of Persian speakers from their English pronunciation of words. The proposed method uses three classes of sound properties consisting of linear prediction coefficients (LPC), word timelength, intensity and pitch, as well as frequency properties from FFT analysis. Actual ...

This paper discusses the use of fast and customized Dynamic Time Warping method for offline Persian handwriting recognition that could be easily extended to Arabic language. Many systems in this field are based on either Neural Network or Hidden Markov Model that suffer from low recognition rate, sensitivity to noises or wide range of parameters that reduce system performance. The complete syst...