This paper describes the usage of Natural Language Processing tools, mostly probabilistic topic modeling, to study semantics (word correlations) in a collection of Persian poems consisting of roughly 18k poems from 30 different poets. For this study, we put a lot of effort in the preprocessing and the development of a large scope lexicon supporting both modern and ancient Persian. In the analys...

Grammatical error correction (GEC) greatly benefits from large quantities of high-quality training data. However, the preparation a amount labelled data is time-consuming and prone to human errors. These issues have become major obstacles in GEC systems. Recently, performance English systems has drastically been enhanced by application deep neural networks that generate synthetic limited sample...

This article discussed the origin and structure of Persian Dari language in various historical periods, as well family languages to which belongs, role effect other at times on structure. Meanwhile, it has passed through transition, changing prose, finally taking a final form, such its modern with an appearance toward Islam, been introduced this paper. The case that is presented basis reasons m...

arabic languages is not a foreign language for us as iranins is the language of our religion and islamic culture. thus to protect our religion and culture. we should learn it. because arabic is not our native language. so one way to learn it is through the comparison and contrast of structure and grammatical points of arabic and persian. this issue is very helpful in translating a text. this ar...

This paper describes our participation to the Persian ad hoc search during the CLEF 2009 evaluation campaign. In this task, we suggest using a light suffix-stripping algorithm for the Farsi (or Persian) language. The evaluations based on different probabilistic models demonstrated that our stemming approach performs better than a stemmer removing only the plural suffixes, or statistically bette...

Persian with its about 100,000,000 speakers in the world belongs to the group of languages with less developed linguistically annotated resources and tools. The few existing resources and tools are neither open source nor freely available. Thus, our goal is to develop open source resources such as corpora and treebanks, and tools for data-driven linguistic analysis of Persian. We do this by exp...

Stemmers have many applications in natural language processing and some fields such as information retrieval. Many algorithms have been proposed for stemming. In this paper, we propose a new algorithm for Persian language. Our algorithm is a bottom up algorithm that is capable to reorganize without changing the implementation. Our experiments show that the proposed algorithm has a suitable resu...