DMCA
P.: Automatic meaning discovery using google (2004)
Cached
Download Links
| Venue: | Centrum Wiskunde & Informatica (CWI |
| Citations: | 41 - 3 self |
BibTeX
@TECHREPORT{Cilibrasi04p.:automatic,
author = {Rudi Cilibrasi and Paul Vitanyi},
title = {P.: Automatic meaning discovery using google},
institution = {Centrum Wiskunde & Informatica (CWI},
year = {2004}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
We have found a method to automatically extract the meaning of words and phrases from the world-wide-web using Google page counts. The approach is novel in its unrestricted problem domain, simplicity of implementation, and manifestly ontological underpinnings. The world-wide-web is the largest database on earth, and the latent semantic context information entered by millions of independent users averages out to provide automatic meaning of useful quality. We demonstrate positive correlations, evidencing an underlying semantic structure, in both numerical symbol notations and number-name words in a variety of natural languages and contexts. Next, we demonstrate the ability to distinguish between colors and numbers, and to distinguish between 17th century Dutch painters; the ability to understand electrical terms, religious terms, emergency incidents, and we conduct a massive experiment in understanding WordNet categories; the ability to do a simple automatic English-Spanish translation. 1
Keyphrases
automatic meaning discovery useful quality unrestricted problem domain understanding wordnet category ontological underpinnings automatic meaning natural language simple automatic english-spanish translation underlying semantic structure google page count emergency incident numerical symbol notation massive experiment number-name word 17th century dutch painter electrical term religious term positive correlation latent semantic context information independent user
