Word Sense Distribution in a Web Corpus

World Wide Web has become an important knowl-edge source for many research fields, and quality of Web-acquired knowledge has direct impact on their performance. While evaluation of the vast amount of Web resources is out of question, in this paper we ex-amined thousands of sentences containing twelve pre-selected words and produced several quality measures including sentence coherence and sense distribution information. Our goal is to provide some insight to several Computational Linguistics areas that acquire knowledge from the Web