A Writing Assistent Using Language Models Derived From the Web

نویسنده

  • Sharon Tsai
چکیده

In the field of Linguistic there exists many powerful tools for measuring the statistic characteristics of words and sentences. These tools rely on a corpus to which the data is compared. In order to get good and meaningful results from the tools available, a suitable corpus is thus needed. As the corpus is the key that ties the tools together, it is of uttermost importance. For most applications, all though not all, a large corpus is useful. This paper presents a solution to using the largest corpus known to man, the Internet. It will show a prototype program using many different linguistic tools on information gathered by the premiere search engine Google.

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تاریخ انتشار 2003