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Overlapping statistical segmentation for effective indexing of Japanese text

Author
OGAWA, Y1 ; MATSUDA, T2
[1] Software Research Center, RICOH Co. Ltd., 1-1-17 Koishikawa, Bunkyou-ku, Tokyo 112, Japan
[2] Office System Development Center, RICOH Co. Ltd., 3-2-3 Shin-yokohama, Kouhoku-ku, Yokohama 222, Japan
Issue title
Special issue: Information retrieval with Asian languages
Author (monograph)
MYAENG, Sung H (Editor)1
[1] Department of Computer Science, Chungnam National University, Taejon, Korea, Republic of
Source

Information processing & management. 1999, Vol 35, Num 4, pp 463-480 ; ref : 1 p.1/4

CODEN
IPMADK
ISSN
0306-4573
Scientific domain
Information and communication sciences; Documentation; Computer science
Publisher
Elsevier Science, Oxford
Publication country
United Kingdom
Document type
Article
Language
English
Keyword (fr)
Analyse statistique Efficacité Evaluation performance Indexation Japonais Recherche information Segmentation
Keyword (en)
Statistical analysis Efficiency Performance evaluation Indexing Japanese Information retrieval Segmentation
Keyword (es)
Análisis estadístico Eficacia Evaluación prestación Indización Japonés Recuperación información Segmentación
Classification
Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A01 Information science. Documentation / 001A01E Information processing and retrieval / 001A01E01 Logical and linguistic tools

Francis
790 Information and communication sciences / 790-F Information processing and retrieval

Discipline
Sciences of information and communication
Origin
Inist-CNRS
Database
FRANCIS ; PASCAL
INIST identifier
1975574

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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