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Multilingual textuality: Some experiences from multilingual text generation

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Book cover Trends in Natural Language Generation An Artificial Intelligence Perspective (EWNLG 1993)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1036))

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Abstract

The present article describes an approach to multilingual text generation focusing on how ‘textuality’ is achieved across languages (here: English, German, and Dutch). We specify an appropriately abstract level of textual semantics that can accomodate both commonalities and differences between languages. We describe the interaction between global-level discourse semantics and grammar via the newly introduced level of local-level discourse semantics that mediates information between global text structure and the lower linguistic levels, such as grammar and lexis. The implementational basis is the komet-penman multilingual grammar development environment which relies on resource sharing across languages on all strata of the linguistic system. The inclusion of global and local level discourse semantics is thus a straightforward extension of the komet-penman system, making use of the same kinds of representation and multilingual processing as employed for the lexico-grammar.

The work presented in this article has been carried out at GMD-IPSI, Dolivostr.15, 64293 Darmstadt, Germany. It was supported in part by the EC under the ESPRIT basic research action DANDELION (EP6665) and in part by a DAAD Academic Research Collaboration (ARC). Liesbeth Degand has a grant from the Belgian National Fund for Scientific Research. John Bateman is also on indefinite leave from ISI/USC, Marina del Rey, California.

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  1. Universität des Saarlandes, Saarbrücken, Germany

    Elke Teich

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  1. Elke Teich
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  2. Liesbeth Degand
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  3. John Bateman
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Giovanni Adorni Michael Zock

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© 1996 Springer-Verlag Berlin Heidelberg

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Teich, E., Degand, L., Bateman, J. (1996). Multilingual textuality: Some experiences from multilingual text generation. In: Adorni, G., Zock, M. (eds) Trends in Natural Language Generation An Artificial Intelligence Perspective. EWNLG 1993. Lecture Notes in Computer Science, vol 1036. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60800-1_38

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  • DOI: https://doi.org/10.1007/3-540-60800-1_38

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