N-gram morphemes for retrieval

CEUR Workshop Proceedings

Volumn 1173, Issue , 2007, Pages

  McNamee, Paul ^a   Mayfield, James ^a  

^a JOHNS HOPKINS UNIVERSITY APPLIED PHYSICS LABORATORY   (United States)

Author keywords

Character N gram tokenization; Morphological analysis; Text retrieval

Indexed keywords

ARTIFICIAL INTELLIGENCE; DIGITAL LIBRARIES; INFORMATION RETRIEVAL; INFORMATION RETRIEVAL SYSTEMS; LEARNING SYSTEMS; LINGUISTICS; MORPHOLOGY;

FREQUENCY COUNTS; IMPROVE PERFORMANCE; MORPHOLOGICAL ANALYSIS; SIMPLE ZEROS; SUBSTRING; TEXT RETRIEVAL; TOKENIZATION; UNSUPERVISED METHOD;

SEARCH ENGINES;

EID: 84921970958     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (3)

1. Marc Damashek. Gauging simularity with n-grams: Language-independent categororization of text. Science, 267:843-848, 10 February 1995.
2. James Mayfield and Paul McNamee. Single n-gram stemming. In SIGIR, pages 415-416, 2003.
3. Paul McNamee and James Mayfield. Character N-gram tokenization for european language text retrieval. Inf. Retr, 7(1-2):73-97, 2004.