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Recognizing permuted words with Vector Symbolic Architectures: A Cambridge test for machines
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
La Trobe University.
Number of Authors: 3
2016 (English)In: Procedia Computer Science, ISSN 1877-0509, E-ISSN 1877-0509, Vol. 88, 169-175 p.Article in journal (Refereed) Published
Abstract [en]

This paper proposes a simple encoding scheme for words using principles of Vector Symbolic Architectures. The proposed encoding allows finding a valid word in the dictionary for a given permuted word (represented using the proposed approach) using only a single operation - calculation of Hamming distance to the distributed representations of valid words in the dictionary. The proposed encoding scheme can be used as an additional processing mechanism for models of word embedding, which also form vectors to represent the meanings of words, in order to match the distorted words in the text to the valid words in the dictionary.

Place, publisher, year, edition, pages
2016. Vol. 88, 169-175 p.
National Category
Computer Science
Research subject
Dependable Communication and Computation Systems
Identifiers
URN: urn:nbn:se:ltu:diva-40430DOI: 10.1016/j.procs.2016.07.421ISI: 000391723200024Local ID: f921c1ad-944a-4427-88f6-7559bdb89676OAI: oai:DiVA.org:ltu-40430DiVA: diva2:1013952
Conference
7th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2016, July 16-19 2016 in New York City
Note

Konferensartikel i tidskrift 2017-03-27 (andbra)

Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2017-03-27Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • Other locale
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Output format
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