NDLI: Similarity Computation of Low-frequency Chinese Words

Content Provider	IEEE Xplore Digital Library
Author	Xinghua Fan Ji Chen
Copyright Year	2009
Abstract	This paper proposes a novel method on Chinese low-frequency word similarity computation. It adopts a combinational strategy to compute word similarity, which exploits dictionary Hownet and constructed corpus retrieved from Internet. It has 3 steps: (1) If both of two words exist in Hownet, the similarity between them is computed based on Hownet. (2) If either of two words a and b doesn’t exist in Hownet, we respectively use word a, word b and word pair a and b as a query to search on the Internet and construct a corpus with the search results. Similarity between two words is computed based on the context of words. (3) In order to guarantee that similarities computed based on different sources are comparable, the similarity computed based on constructed corpus is multiplied by a coefficient. Experimental results show that the proposed method has effectively solved the problem of computing low-frequency word similarity.
Starting Page	524
Ending Page	528
File Size	421707
Page Count	5
File Format	PDF
ISBN	9780769537351
DOI	10.1109/FSKD.2009.476
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Taxonomy Educational institutions Telecommunication computing Paper technology word similarity Statistics low frequency Computer science Frequency shift keying Search engines Internet constructed corpus Fuzzy systems
Content Type	Text
Resource Type	Article

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