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A Thematic Hierarchy for Efficient Generation from Lexical-Conceptual Structure

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Machine Translation and the Information Soup (AMTA 1998)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1529))

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Abstract

This paper describes an implemented algorithm for syntactic realization of a target-language sentence from an interlingual representation called Lexical Conceptual Structure (LCS). We provide a mapping between LCS thematic roles and Abstract Meaning Representation (AMR) relations; these relations serve as input to an off-the-shelf generator (Nitrogen). There are two contributions of this work: (1) the development of a thematic hierarchy that provides ordering information for realization of arguments in their surface positions; (2) the provision of a diagnostic tool for detecting inconsistencies in an existing online LCS-based lexicon that allows us to enhance principles for thematic-role assignment.

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© 1998 Springer-Verlag Berlin Heidelberg

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Dorr, B., Habash, N., Traum, D. (1998). A Thematic Hierarchy for Efficient Generation from Lexical-Conceptual Structure. In: Farwell, D., Gerber, L., Hovy, E. (eds) Machine Translation and the Information Soup. AMTA 1998. Lecture Notes in Computer Science(), vol 1529. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49478-2_30

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  • DOI: https://doi.org/10.1007/3-540-49478-2_30

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  • Print ISBN: 978-3-540-65259-5

  • Online ISBN: 978-3-540-49478-2

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