Large Scale Language Independent Generation Using Thematic Hierarchies
MARYLAND UNIV COLLEGE PARK INST FOR ADVANCED COMPUTER STUDIES
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This paper describes a large-scale language-independent evaluation of the use of Thematic Hierardies in natural language generation. We translate from a corpus of sentences reflecting the full variety of behavior of Levin-based verb classes. The corpus is used as input to a generation system that utilizes the same thematic hierarchy for realizing relative argument surface positions in two languages English and Spanish. The output was manually evaluated by English and Spanish speakers. The contributions of this work include 1 an improved thematic hierarchy over an earlier implementation 2 a large-scale evaluation of the use of thematic hierarchies in two languages 3 an implementation of a language independent module for natural language generation and 4 the creation of a single tool for incremental development of multilingual lexicons.