2021
DOI: 10.1007/s11042-021-10800-8
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A novel approach to perform context‐based automatic spoken document retrieval of political speeches based on wavelet tree indexing

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Cited by 11 publications
(3 citation statements)
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References 27 publications
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“…The segmentation accuracy of this method can reach 99%, and the word segmentation speed can reach 30 characters per second. The literature [7] used a combination of word shape matching and string frequency statistics to achieve automatic word segmentation in English, which is suitable for automatic abstraction and document retrieval. The literature [8] proposed English name recognition based on statistics.…”
Section: Related Workmentioning
confidence: 99%
“…The segmentation accuracy of this method can reach 99%, and the word segmentation speed can reach 30 characters per second. The literature [7] used a combination of word shape matching and string frequency statistics to achieve automatic word segmentation in English, which is suitable for automatic abstraction and document retrieval. The literature [8] proposed English name recognition based on statistics.…”
Section: Related Workmentioning
confidence: 99%
“…[2,6]), which allows O(1) access. However, hash tables have several issues from an implementation point of view [17].…”
Section: Binary Search Tree (Bst)mentioning
confidence: 99%
“…As mentioned in Section 3.1, software implementations typically use hash maps for ASL. These are useful when a large number of active states are permitted so that we have least collision resolutions needed [17]. Hardware platforms on the other hand are resource-constrained.…”
Section: Asl Implementation: Hash Table Versus Bst-mhmentioning
confidence: 99%