Volume- 2
Issue- 2
Year- 2014
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Pratik M Pokharkar, , Onkar Nikam,, Anurag Mishra,, Divya Raisinghani,
Our system addresses the design and implementation of BiLingual Information Retrieval system on the domain, Festival.It is built for Marathi language working with the same efficiency. According to User’s query ,searching,translation and information extraction is done effectively. The main task is to retrieve the solution for the user typed query in the both the languages one that of the query and the standard English language. In this process, a Ontological tree is built for the domain in such a way that there are entries of important keywords in the above listed two languages in every node of the tree. A Part-Of-Speech (POS) Tagger is used to divide the sentence into words and assign their POS then determine the keywords from the given query. Based on the context, the keywords are translated to appropriate languages using the Ontological tree. A search is performed and documents are retrieved based on the keywords. With the use of the Ontological tree, Information Extraction is done. And at last, the solution for the query is translated back to the query language and produced to the user as per his requirement.
[1] BiLingual Information Retrieval System for English and Tamil - Dr.S.Saraswathi, Asma Siddhiqaa.M, Kalaimagal.K, Kalaiyarasi.M
[2] Cross-Language Information Retrieval: the way ahead - Fredric C. Gey , Noriko Kando, Carol Peters
[3] A Personalized Ontology Model for Web Information Gathering - Xiaohui Tao, Yuefeng Li, and Ning Zhong, Senior Member, IEEE
[4] Indic Language Translation in CLIR Using Virtual Keyboard - Mallamma V. Reddy and M. Hanumanthappa
Computer Engineering, Pimpri Chinchwad College Of Engineering, Pune, India, 9975434540, (e-mail: pratik.pokharkar2611@gmail.com).
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