On measuring the lexical quality of the web

R. Baeza-Yates, Luz Rello
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引用次数: 15

Abstract

In this paper we propose a measure for estimating the lexical quality of the Web, that is, the representational aspect of the textual web content. Our lexical quality measure is based in a small corpus of spelling errors and we apply it to English and Spanish. We first compute the correlation of our measure with web popularity measures to show that gives independent information and then we apply it to different web segments, including social media. Our results shed a light on the lexical quality of the Web and show that authoritative websites have several orders of magnitude less misspellings than the overall Web. We also present an analysis of the geographical distribution of lexical quality throughout English and Spanish speaking countries as well as how this measure changes in about one year.
论网络词汇质量的测量
在本文中,我们提出了一种衡量Web词汇质量的方法,即文本Web内容的表征方面。我们的词汇质量测量是基于一个小的拼写错误语料库,我们将其应用于英语和西班牙语。我们首先计算我们的测量与网络流行度测量的相关性,以显示它提供了独立的信息,然后我们将其应用于不同的网络细分,包括社交媒体。我们的研究结果揭示了网络的词汇质量,并表明权威网站的拼写错误比整个网络少几个数量级。我们还分析了英语和西班牙语国家词汇质量的地理分布,以及这种测量在大约一年内是如何变化的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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