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Globalisierung, interkulturelle Kommunikation und Sprache

Akten des 44. Linguistischen Kolloquiums 2009 in Sofia

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Edited By Maria Grozeva-Minkova and Boris Naimushin

Dieser Band umfasst 56 Beiträge in deutscher, englischer und französischer Sprache, die auf dem 44. Linguistischen Kolloquium im September 2009 an der Neuen Bulgarischen Universität in Sofia gehalten wurden. Vortragende aus Europa, Asien und Australien behandelten unter dem Thema Globalisierung, interkulturelle Kommunikation und Sprache die vielschichtigen Einflüsse der Globalisierung und der neuen Medien auf die Sprache aus unterschiedlichen Perspektiven. Fragestellungen der gegenseitigen Beziehungen zwischen Sprache und Politik, Sprache und Kultur, Sprache und Gesellschaft werden in Bezug auf die interkulturelle Kommunikation und die Entwicklungstendenzen der Sprache analysiert.
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Generating Thesauri of Orthographically Similar Words

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← 326 | 327 → Reinhard Rapp (Tarragona)

String comparison based on orthographic similarities is used in many software applications. For example, in search engines to deal with misspellings and inflected forms, in spelling checkers to find alternatives to misspelled words, and in translation memory systems to help translators find relevant translations in a database of previously translated sentences. The success of these systems shows that the computation of similar strings that closely match our intuitions can be considered as a more or less resolved problem, although from an engineering point of view there is always a requirement for some fine-tuning to adapt to the peculiarities of a specific environment.

However, to our knowledge, few attempts have been made to make the results of such algorithms readily available in the form of thesauri, and to do so for several languages, which is the focus of this paper. Similarly to e.g. compiling lists of word frequencies, although the underlying algorithms are known, the results, especially if made freely accessible via the internet, are nevertheless useful and can save other researchers time and effort. They may also be relevant for professionals from other fields (e.g. writers, journalists, translators or language teachers and learners) who may not be experienced in conducting the necessary programming.

Successful algorithms for computing orthographic similarities have already been described many years ago as can be seen from early survey articles such as Peterson (1980) and Pollock/Zamorra (1984). Very good results have been reported by Kernighan...

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