Paper: Rule-Based Acquisition And Maintenance Of Lexical And Semantic Knowledge

ACL ID E93-1019
Title Rule-Based Acquisition And Maintenance Of Lexical And Semantic Knowledge
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 1993
Authors

The lexicons for Knowledge-Based Machine Translation systems require knowledge in- tensive morphological, syntactic and se- mantic information. This information is of- ten used in different ways and usually for- matted for a specific NLP system. This tends to make both the acquisition and maintenance of lexical databases cumber- some, inefficient and error-prone. In order to solve these problems, we have developed a program called COOL which automates the acquisition and maintenance processes and allows us to standardize and central- ize the databases. This system is currently being used in the ESTRATO machine trans- lation project at the Center for Machine Translation.