Ijaz: An Operational system for single-document summarization of Persian news texts

The rapid growth of published documents on the web has created some new requests for processing, classification and information retrieval. So, the use of natural language processing tools has increased around the world. Automatic summarization known as the core of a wide range of text-processing tools such as decision systems, accountability systems, search engines, etc. And always has been investigated as an important issue in computer science.This paper has introduced "Ijaz", a text summarization system, for Persian documents. For this, we first review the related works in this field, especially for Persian text summarization. We then investigate the using of some new effective features for improvement of the proposed summarizer system. Also for the first time, by using of a large corpus and standardized assessment tools, the proposed method has been evaluated and compared with other existing approaches for Persian text. The results of this evaluations are remarkable.