Adapting MUMBLE: experience with natural language generation

Authors:
Robert Rubinoff
Affiliations:
University of Pennsylvania, Philadelphia, PA
Venue:
HLT '86 Proceedings of the workshop on Strategic computing natural language
Year:
1986

Citing 2
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Text generation: using discourse strategies and focus constraints to generate natural language text

Text generation: using discourse strategies and focus constraints to generate natural language text
TAGs as a grammatical formalism for generation

ACL '85 Proceedings of the 23rd annual meeting on Association for Computational Linguistics

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Abstract

This paper describes the construction of a MUMBLE-based [McDonald 83b] tactical component for the TEXT text generation system [McKeown 85]. This new component, which produces fluent English sentences from the sequence of structured message units output from TEXT's strategic component, has produced a 60-fold speed-up in sentence production. Adapting MUMBLE required work on each of the three parts of the MUMBLE framework: the interpreter, the grammar, and the dictionary. It also provided some insight into the organization of the generation process and the consequences of MUMBLE's commitment to a deterministic model.