Al-Lahham, 2021 - Google Patents
Index term selection heuristics for Arabic text retrievalAl-Lahham, 2021
- Document ID
- 7513946334401524012
- Author
- Al-Lahham Y
- Publication year
- Publication venue
- Arabian Journal for Science and Engineering
External Links
Snippet
The Arabic index term selection is a challenging process due to the complex morphological nature of the Arabic language. Index term selection is a significant factor that affects the efficiency of any information retrieval system. Many methods of index term selection were …
- 238000000034 method 0 abstract description 29
Classifications
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- G06F17/30634—Querying
- G06F17/30657—Query processing
- G06F17/30675—Query execution
- G06F17/30684—Query execution using natural language analysis
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
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