KEDMA—Linguistic Tools for Retrieval Systems

Author:

Attar R.1,Choueka Y.2,Dershowitz Nachum3,Fraenkel A. S.4

Affiliation:

1. Department of Mathematics and Computer Science, Bar-Ilan University, Ramat Gan, Israel and Department of Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel

2. Department of Mathematics and Computer Science, Bar-Ilan University, Ramat Gan, Israel

3. Artificial Intelligence Laboratory, Stanford University, Stanford, California

4. Department of Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel

Publisher

Association for Computing Machinery (ACM)

Subject

Artificial Intelligence,Hardware and Architecture,Information Systems,Control and Systems Engineering,Software

Reference19 articles.

1. AITAR R AND FRAENKEL A S Local feedback in full-text retrieval systems J ACM 24 3 (July 1977) 397-417 10.1145/322017.322021 AITAR R AND FRAENKEL A S Local feedback in full-text retrieval systems J ACM 24 3 (July 1977) 397-417 10.1145/322017.322021

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

3. 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) 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)

4. Full text document retrieval

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3. Information Retrieval;Natural Language Processing of Semitic Languages;2014

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5. Search Engines and Hebrew - Revisited;Lecture Notes in Computer Science;2014

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