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Persian is an Iranian language within the Indo-Iranian branch of the Indo-European languages which is one of the major languages in the Heart Land (Middle East). Nevertheless, there are proportionately few studies on retrieval and analyses of Persian documents. In this case, suitable resources for Persian are becoming a vital necessity for the progress of language engineering researches. In this paper we tried to make a Persian Verb Collection -as a linguistic resource- which is needed in some NLP researches like verb and sentence detection, POS tagging, Lexicography and etc. We used a generative approach for building this collection from Persian Stems by Verbal Structures.

The TebCorp collection is a large thematic modern Persian text collection which consists of 500 MB of text from Tebyan Portal. TebCorp contains more than 93,000 articles in 1097 topics and includes more than 44 million total words and about 550,000 distinct words which is suitable for information retrieval researches. In this paper we tried to exploit Tebyan portal - containing vast amount of prominent Persian articles - as a linguistic resource to build a multipurpose thematic corpus for Persian. We will present particular details on building this corpus including information retrieval and collection assessment. We will then conclude by giving practical information about this corpus.