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MEASURING SEMANTIC AND SYNTACTIC SIMILARITY BETWEEN GRAMMARS ACCORDING TO DISTANCE METRICS FOR CLUSTERED DATA
MEASURING SEMANTIC AND SYNTACTIC SIMILARITY BETWEEN GRAMMARS ACCORDING TO DISTANCE METRICS FOR CLUSTERED DATA
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机译:根据聚类数据的距离度量来测量语法和语义上的相似度
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摘要
The disclosure relates to various distance metrics that may quantify semantic and syntactic relationships between devices. More particularly, a first grammar associated with a first device and a second grammar associated with a second device may each comprise a symbol sequence that re-expresses one or more sequenced data items and one or more rules that represent a repeated pattern in the symbol sequence. Accordingly, one or more distance metrics that quantify a similarity between the first grammar and the second grammar may be calculated according to a comparison between the rules in the first grammar and the rules in the second grammar such that a relationship between the first device and the second device can be determined according to the one or more distance metrics.
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