TL;DR
This paper proposes a novel method to quantify the semantic relationship between words using web page co-occurrence data, providing a new perspective on meaning measurement in a vast online environment.
Contribution
It introduces the concept of 'meaning bound' based on web page counts, offering a quantitative approach to analyze word relationships on the World-Wide Web.
Findings
Meaning bounds vary significantly across different word pairs.
The method reveals insights into semantic associations based on web data.
Analysis of examples demonstrates the potential of the approach.
Abstract
We introduce the notion of the 'meaning bound' of a word with respect to another word by making use of the World-Wide Web as a conceptual environment for meaning. The meaning of a word with respect to another word is established by multiplying the product of the number of webpages containing both words by the total number of webpages of the World-Wide Web, and dividing the result by the product of the number of webpages for each of the single words. We calculate the meaning bounds for several words and analyze different aspects of these by looking at specific examples.
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