Orthographic Errors in Web Pages: Toward Cleaner Web Corpora

  • Authors:
  • Christoph Ringlstetter;Klaus U. Schulz;Stoyan Mihov

  • Affiliations:
  • -;CIS, University of Munich (Funded by German Research Foundation (DFG));Bulgarian Academy of Science, Sofia (Funded by VolkswagenStiftung)

  • Venue:
  • Computational Linguistics
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

Since the Web by far represents the largest public repository of natural language texts, recent experiments, methods, and tools in the area of corpus linguistics often use the Web as a corpus. For applications where high accuracy is crucial, the problem has to be faced that a non-negligible number of orthographic and grammatical errors occur in Web documents. In this article we investigate the distribution of orthographic errors of various types in Web pages. As a by-product, methods are developed for efficiently detecting erroneous pages and for marking orthographic errors in acceptable Web documents, reducing thus the number of errors in corpora and linguistic knowledge bases automatically retrieved from the Web.