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Classifying Lexical Variation

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Part of the book series: The Springer International Series in Engineering and Computer Science ((SECS,volume 492))

Abstract

As our goal in this book is to generate a wide range of lexical variants from the same underlying representation, we first of all need to investigate more closely the notion of ‘paraphrase’, and then to delimit the range of variation to be produced in our system. A central idea of our project is to see multilingual generation as a mere extension of the monolingual paraphrase task and to devise the system architecture accordingly: Rephrasing an English sentence with different English words should in principle not be different from rephrasing that same sentence with German words. Obviously, this stance is more difficult to defend when looking at less closely related languages, but for our purposes here we stick to English and German, occasionally looking at other languages for interesting examples. Therefore, we develop the following overview of lexical variation by looking at both paraphrases within a single language (Section 3.1) and differences between languages, the so-called divergences (Section 3.2). Then, Section 3.3 points out the commonalities between the two and argues that from the viewpoint of MLG there should not be a fundamental difference between them.

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Notes

  1. Also, recall the work by Reiter [1990], mentioned in Chapter 2, where pragmatic reasons for not using the most specific word are investigated.

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  2. Schmitt [1986] made the same point in his study of various technical manuals.

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© 1999 Springer Science+Business Media New York

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Stede, M. (1999). Classifying Lexical Variation. In: Lexical Semantics and Knowledge Representation in Multilingual Text Generation. The Springer International Series in Engineering and Computer Science, vol 492. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5179-9_3

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  • DOI: https://doi.org/10.1007/978-1-4615-5179-9_3

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-7359-9

  • Online ISBN: 978-1-4615-5179-9

  • eBook Packages: Springer Book Archive

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