Title :
Building a large Persian Verb Collection: A generative approach
Author :
Khalifehsoltani, Sayed Nasir ; Cholmaghani, Ali ; Vahdani, Ali ; Moallemi, Reza
Author_Institution :
Dept. of Comput. Eng., SheikhBahee Univ., Isfahan, Iran
Abstract :
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.
Keywords :
information retrieval; natural language processing; Indo-European languages; Indo-Iranian branch; Iranian language; NLP researches; POS tagging; Persian document retrieval; Persian stems; Persian verb collection; language engineering researches; lexicography; linguistic resource; sentence detection; verb detection; verbal structures; Electronic switching systems; Heart; Mood; Morphology; Natural language processing; Natural languages; Optical computing; Tagging; Linguistic Resource; Natural Language Processing; Persian Language; Verb Conjugation;
Conference_Titel :
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6347-3
DOI :
10.1109/ICCET.2010.5485686