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Volumn , Issue , 2007, Pages

N-gram and local context analysis for Persian text retrieval

Author keywords

[No Author keywords available]

Indexed keywords

PERSIAN;

EID: 51549107004     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISSPA.2007.4555345     Document Type: Conference Paper
Times cited : (26)

References (18)
  • 1
    • 0142093775 scopus 로고
    • Using An N-Gram-Based Document Representation with A Vector Processing Retrieval Model
    • NIST Special Publication 500-225, pp
    • W.B. Cavnar. "Using An N-Gram-Based Document Representation with A Vector Processing Retrieval Model". In Proceedings of the Third Text REtrieval Conference (TREC-3), NIST Special Publication 500-225, pp. 269-277, 1995.
    • (1995) Proceedings of the Third Text REtrieval Conference (TREC-3) , pp. 269-277
    • Cavnar, W.B.1
  • 6
    • 47349118997 scopus 로고    scopus 로고
    • Msc Thesis, Department of Computer and Electrical Engineering, University of Tehran
    • F. Mazhar Garamaleki, An Evaluation of Farsi Retrieval Method, Msc Thesis, Department of Computer and Electrical Engineering, University of Tehran, 2003.
    • (2003) An Evaluation of Farsi Retrieval Method
    • Mazhar Garamaleki, F.1
  • 8
    • 18744389233 scopus 로고    scopus 로고
    • Information retrieval: A survey
    • Ed Greengrass, TR-R52-008-001, 2001
    • Ed Greengrass, Information retrieval: A survey. DOD Technical Report: TR-R52-008-001, 2001.
    • DOD Technical Report
  • 10
    • 0003029479 scopus 로고    scopus 로고
    • Improving the Effectiveness of information retrieval with Local Context Analysis
    • January
    • J. Xu, W.B. Croft, "Improving the Effectiveness of information retrieval with Local Context Analysis". ACM Transactions on information systems, vol.18, No.l, pp. 79-112, January 2000.
    • (2000) ACM Transactions on information systems , vol.18 , Issue.L , pp. 79-112
    • Xu, J.1    Croft, W.B.2
  • 11
    • 51549115398 scopus 로고    scopus 로고
    • E. Agichtein, S. Cucerzan, Predicting Extraction Performance by Using Context Language Models, In the SIGIR 2005 Workshop on Methodologies and Evaluation of Lexical Cohesion Techniques in Real-World Applications,2005.
    • E. Agichtein, S. Cucerzan, "Predicting Extraction Performance by Using Context Language Models", In the SIGIR 2005 Workshop on Methodologies and Evaluation of Lexical Cohesion Techniques in Real-World Applications,2005.
  • 13
    • 11144226971 scopus 로고    scopus 로고
    • Character contiguity in N-gram-based word matching: The case for Arabic text searching
    • S.H. Mustafa, "Character contiguity in N-gram-based word matching: the case for Arabic text searching", Information Processing and Management, Vol. 41, pp. 819-827, 2005.
    • (2005) Information Processing and Management , vol.41 , pp. 819-827
    • Mustafa, S.H.1
  • 17
    • 51549112896 scopus 로고    scopus 로고
    • National Institution of Standards and Technology
    • National Institution of Standards and Technology: http://trec.nist.gov/ trec_eval/


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.