Persian is a challenging language in the field of NLP. Rightto-left orthography, complex morphology, complicated grammatical rules, and different forms of letters make it an interesting language for NLP research. In this paper we measure the effectiveness of a simple and efficient stemming algorithm, Perstem, on Persian information retrieval. Our experiments on the Hamshahri corpus at CLEF2009 ...

In this paper we present an introduction to the Persian language and its morphology, and describe available resources for Persian text processing. We then propose and evaluate an information retrieval model, a variation of the vector space model which uses the relations existing between query terms. Our experiments on the Hamshahri collection show that the proposed model has better precision fo...

The Persian language is one of the dominant languages in the Middle East, so there are significant amount of Persian documents available on the Web. Due to the special and different nature of the Persian language compared to other languages like English, the design of information retrieval systems in Persian requires special considerations. However, there are relatively few studies on retrieval...

background: the murder is a huge human crime that in order to legislation of different laws for preventing from occurring this kind of crime (murder). anyway it occurs in all societies and it has some motivations to occur, for example economic problems, taste, madness, uncommon sexual treats, asperity, invective and insult and even love. this study has done for determining the different ways an...

Extracting semantic roles is one of the major steps in representing text meaning. It refers to finding the semantic relations between a predicate and syntactic constituents in a sentence. In this paper we present a semantic role labeling system for Persian, using memory-based learning model and standard features. We show that good semantic parsing results can be achieved with a small 1300-sente...

In this research, the views provided by subscribers of Hamshahri inhabited in Tehran was studied and used to understand the role of the media promoting civic skills in view of subscribers. Method was used in the research is field and Library; and was conducted correlation and applied in manner purpose respectively. The statistical community consists of subscribers of Hamshahri in three, ten and...

In this paper, a novel hierarchical Persian Stemming approach based on the Part-Of-Speech (POS) of the word in a sentence is presented. The implemented stemmer includes hash tables and several deterministic finite automata (DFA) in its different levels of hierarchy for removing the prefixes and suffixes of the words. We had two intentions in using hash tables in our method. The first one is tha...

Multilingual corpora are valuable resources for cross-language information retrieval and are available in many language pairs. However the Persian language does not have rich multilingual resources due to some of its special features and difficulties in constructing the corpora. In this study, we build a Persian-English comparable corpus from two independent news collections: BBC News in Englis...

(Abstract) Text processing is one of the sub-branches of natural language processing. Recently, the use of machine learning and neural networks methods has been given greater consideration. For this reason, the representation of words has become very important. This article is about word representation or converting words into vectors in Persian text. In this research GloVe, CBOW and skip-gram ...