Paper: Multilingual Authoring using Feedback Texts

ACL ID P98-2173
Title Multilingual Authoring using Feedback Texts
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1998
Authors

There are obvious reasons for trying to auto- mate the production of multilingual documen- tation, especially for routine subject-matter in restricted domains (e.g. technical instructions). Two approaches have been adopted: Machine Translation (MT) of a source text, and Multi- lingual Natural Language Generation (M-NLG) from a knowledge base. For MT, information extraction is a major difficulty, since the mean- ing must be derived by analysis of the source text; M-NLG avoids this difficulty but seems at first sight to require an expensive phase of knowledge engineering in order to encode the meaning. We introduce here a new technique which employs M-NLG during the phase of knowledge editing. A 'feedback text', generated from a possibly incomplete knowledge base, de- scribes in natural lang...