text classification is an important research field in information retrieval and text mining. the main task in text classification is to assign text documents in predefined categories based on documents’ contents and labeled-training samples. since word detection is a difficult and time consuming task in persian language, bayesian text classifier is an appropriate approach to deal with different...

This paper deals with several issues in the semantics of Persian noun-determination, which has long been of interest to linguists of various theoretical backgrounds, but has only recently started receiving attention from formally-oriented semanticists. The aim of this paper is to introduce and elaborate on several of the more promising newer approaches to the problem of Persian noundeterminatio...

Tajik Persian is a dialect of Persian spoken primarily in Tajikistan and written with a modified Cyrillic alphabet. Iranian Persian, or Farsi, as it is natively called, is the lingua franca of Iran and is written with the Persian alphabet, a modified Arabic script. Although the spoken versions of Tajik and Farsi are mutually intelligible to educated speakers of both languages, the difference be...

Lexical ontologies and semantic lexicons are important resources in natural language processing. They are used in various tasks and applications, especially where semantic processing is evolved such as question answering, machine translation, text understanding, information retrieval and extraction, content management, text summarization, knowledge acquisition and semantic search engines. Altho...

the term “sānād” i-e (persian historical document) is an important key word in history. although there are many researches about purport, applicable field of “sanad” but historical linguistic of this term is little-known. in regard to that this word have not a long use by mean “written” and “document” in  iranian historical texts, therefore  mind question of this article is: when this term in r...

The rapid growth of online information services has created the problem of information explosion. Automatic text summarization techniques are essential for dealing with this problem. The process of compacting a source document to reduce its complexity and length while retaining its most important contents is called text summarization. This paper introduces Parsumist-a text summarization system ...