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KEDMA—Linguistic Tools for Retrieval Systems

Authors:

R. Attar,

Y. Choueka,

Nachum Dershowitz,

A. S. FraenkelAuthors Info & Claims

Journal of the ACM (JACM), Volume 25, Issue 1

Pages 52 - 66

https://doi.org/10.1145/322047.322052

Published: 01 January 1978 Publication History

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References

[1]

AITAR, R, AND FRAENKEL, A S Local feedback in full-text retrieval systems J ACM 24, 3 (July 1977), 397-417

Crossref

Google Scholar

[2]

ATTAR, R, FRAENKEL, A S, AND STEIN, J Local feedback in full-text English and Hebrew retrieval systems Tech Rep No 5, lnst for Inform Retr and Computat Lmgmstics (IRCOL), Bar-llan Umverslty, Ramat Gan, Israel, Feb 1976

Google Scholar

[3]

AttaR, R., FRAENKEL, A S, AND STEIN, J Local feedback m full-text aerative retrieval systems-ll In preparation

Google Scholar

[4]

CnOUEKA, Y Automatic grammatical analysis of the Hebrew verb (in Hebrew) Proc 2nd Nat Conf inform Process Assoc of Israel, Rehovot, 1966, pp 49-66, English abstract, The Finite String 4, 4 (1967)

Google Scholar

[5]

CHOUEKA, Y Fast searching and retrieval techniques for large dicttonarms and concordances (m Hebrew) Hebrew Computat Linguistics 6 (July 1972), 12-32 (publ by Bar-Ilan U, Ramat-Gan, Israel)

Google Scholar

[6]

CHOUEKA, Y, COHEN, M, DUECK, J, FRAENKEL, k S, AND SLAE, M Full-text document retrieval, Hebrew legal texts (Report on the first phase of the Responsa Retrieval Project) Proc ACM Symp on inform Storage and Retrieval, J Mmker and S Rosenfeld, Eds, U of Maryland, College Park, Md, 1971, pp 61-79 Expanded version of this paper appeared as Heft 3, Arbettspaptere Rechtsmformattk, J Schweltzer Verlag, 1972

Crossref

Google Scholar

[7]

CHOUEKA, Y, AND DREIZIN, F Mechanical resolution of lexical ambiguity m a coherent text. Algonthms and experimental results Proc Second Int Conf on Comptng m the Humanmes, Ottawa, Canada, 1976, paper 43

Google Scholar

[8]

CHOUEKA, Y, AND SHAPIRO, M Machine analys~s of Hebrew morphology potentlahUes and achievements (in Hebrew) Leshonenu 27 (1964), 354-372, English abstract, The Ftmte String 3, 5 (1964), 6

Google Scholar

[9]

EVEN-SHOSHAN, A The New Dictionary, 7 volumes Klryat-Sefer, Jerusalem, 1956

Google Scholar

[10]

FRAENKEL, A S Legal reformation retrieval In Advances tn Computers, Vol 9, F L Alt and M Rubmoff, Eds, Academic Press, New York, 1968, pp 113-178

Google Scholar

[11]

FRAENKEL, A S All about the Responsa Retrieval Prolect you always wanted to know but were afraid to ask Expanded summary, Proc Third Symp on Legal Data Processing in Europe, Oslo, 1975, Council of Europe, Strasbourg, 1976, pp 131-141; also m Jurtmetrtcs j 16 (1976), 149-156, and lnformattca e Dtntto H (1976), 362-370

Google Scholar

[12]

FRAENKEL, A S . AND Sen'z, E Automatic construction of Hebrew concordances with ramification to English concordances. Tech. Rep. No. 1, Inst for Inform. Retr and Comput. Linguistics (IRCOL), Bar-Ilan Umversity, Ramat Gan, Israel, June 1975.

Google Scholar

[13]

GEBHARDT, F. Recent results related to JURIS Proc. Third Symp. on Legal Data Processing m Europe, Oslo, 1975, Council of Europe, Strasbourg, 1976, pp. 25-41

Google Scholar

[14]

HERDAN, G. The Advanced Theory of Language, Chotce and Chance. Sprlnger-Verlag, 1967

Google Scholar

[15]

L~SK, M E Word-word associations in document retrieval systems. Amer. Documentation 20 (1969), 27-38.

Google Scholar

[16]

MJNKER, J. information storage and retneval-a survey and functional description. Tech. Rep TR- 369, Comptr Science Dept, U of Maryland, College Park, Md, April 1975

Google Scholar

[17]

MINKER, J, PELTOLA, E, AND WILSON, G.A Document retrieval experiments usmg cluster analys~s J Amer Soc Inform Scz 24 (1973),246-260

Google Scholar

[18]

MINKER, J, WILSON, G A, AND ZI~MERMAN, B H An evaluation of query expansion by the addlt~on of clustered terms for a document retrieval system J Inform Stor. Retr 8 (1972), 329-348

Google Scholar

[19]

SALTON, G Automatic informaUon Organtzauon and Retrieval McGraw-Hill, New York, 1968

Crossref

Google Scholar

[20]

SALTOt~, G Dynamic Information and Ltbrary Processing Prentice-Hall, Englewood Chffs, N J, 1975

Crossref

Google Scholar

[21]

SPARCK-JoNEs, K. Automattc Keyword Classtficauon for lnformauon Retrteval. Butterworth, London, 1971.

Google Scholar

[22]

SPARCK-JoN~s, K, AND K~,v, M, Ltngulsttcs and Informatton Sczence. Academic Press, New York, 1973

Crossref

Google Scholar

Cited By

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Darwish K(2014)Information RetrievalNatural Language Processing of Semitic Languages10.1007/978-3-642-45358-8_10(299-334)Online publication date: 25-Mar-2014
https://doi.org/10.1007/978-3-642-45358-8_10
Nissan E(2014)Knowledge Engineering for Word-Formation: Generating and Evaluating Candidate NeologismsLanguage, Culture, Computation. Computational Linguistics and Linguistics10.1007/978-3-642-45327-4_11(365-434)Online publication date: 2014
https://doi.org/10.1007/978-3-642-45327-4_11
Koppel M(2014)The Responsa ProjectPart II of Essays Dedicated to Yaacov Choueka on Language, Culture, Computation. Computing of the Humanities, Law, and Narratives - Volume 800210.1007/978-3-642-45324-3_1(1-8)Online publication date: 5-Dec-2014
https://dl.acm.org/doi/10.1007/978-3-642-45324-3_1
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Index Terms

KEDMA—Linguistic Tools for Retrieval Systems
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Natural language interfaces
2. Information systems
  1. Information retrieval

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Published In

Journal of the ACM Volume 25, Issue 1

Jan. 1978

175 pages

ISSN:0004-5411

EISSN:1557-735X

DOI:10.1145/322047

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Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 January 1978

Published in JACM Volume 25, Issue 1

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Darwish K(2014)Information RetrievalNatural Language Processing of Semitic Languages10.1007/978-3-642-45358-8_10(299-334)Online publication date: 25-Mar-2014
https://doi.org/10.1007/978-3-642-45358-8_10
Nissan E(2014)Knowledge Engineering for Word-Formation: Generating and Evaluating Candidate NeologismsLanguage, Culture, Computation. Computational Linguistics and Linguistics10.1007/978-3-642-45327-4_11(365-434)Online publication date: 2014
https://doi.org/10.1007/978-3-642-45327-4_11
Koppel M(2014)The Responsa ProjectPart II of Essays Dedicated to Yaacov Choueka on Language, Culture, Computation. Computing of the Humanities, Law, and Narratives - Volume 800210.1007/978-3-642-45324-3_1(1-8)Online publication date: 5-Dec-2014
https://dl.acm.org/doi/10.1007/978-3-642-45324-3_1
Dershowitz NNissan E(2014)Yaacov Choueka: A ProfileLanguage, Culture, Computation. Computing - Theory and Technology10.1007/978-3-642-45321-2_2(19-36)Online publication date: 2014
https://doi.org/10.1007/978-3-642-45321-2_2
Bar-Ilan J(2014)Search Engines and Hebrew - RevisitedLanguage, Culture, Computation. Computing - Theory and Technology10.1007/978-3-642-45321-2_16(382-394)Online publication date: 2014
https://doi.org/10.1007/978-3-642-45321-2_16
Wiseman YGefner I(2007)Conjugation-based compression for Hebrew textsACM Transactions on Asian Language Information Processing10.1145/1227850.12278546:1(4-es)Online publication date: 1-Apr-2007
https://dl.acm.org/doi/10.1145/1227850.1227854
Bar-Ilan JGutman T(2005)How do search engines respond to some non-English queries?Journal of Information Science10.1177/016555150504925531:1(13-28)Online publication date: 1-Feb-2005
https://dl.acm.org/doi/10.1177/0165551505049255
Wintner S(2004)Hebrew Computational LinguisticsArtificial Intelligence Review10.1023/B:AIRE.0000020865.73561.bc21:2(113-138)Online publication date: 1-Apr-2004
https://dl.acm.org/doi/10.1023/B%3AAIRE.0000020865.73561.bc
Klein S(2002)Data Compression in Information Retrieval SystemsDatabase and Data Communication Network Systems10.1016/B978-012443895-8/50018-0(573-633)Online publication date: 2002
https://doi.org/10.1016/B978-012443895-8/50018-0
Choueka YConley EDagan I(2000)A comprehensive bilingual word alignment systemParallel Text Processing10.1007/978-94-017-2535-4_4(69-96)Online publication date: 2000
https://doi.org/10.1007/978-94-017-2535-4_4
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Incomplete linguistic preference relations and their fusion

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