Approximate sentence matching and its applications in corpus-based research.

This article presents the technique of approximate sentence matching. It is known to perform well as an aid in linguistics-related tasks, among others in translation. The article presents two different applications of this technique in author's algorithms for concordance searching and sentence clustering. Technical part of this article is succeeded by conclusions regarding the synergy between computer scientists and linguists. It is necessary for these two groups to overcome communication obstacles and work together to create linguistic tools of the future. [ABSTRACT FROM AUTHOR]