论文信息 - Coping with Ambiguity in Knowledge-based Natural Language Analysis

Coping with Ambiguity in Knowledge-based Natural Language Analysis

This paper describes the strategies and techniques used by the English analysis component of the KANT Knowledgebased Machine Translation system to cope with ambiguity. The constraints for elimination of ambiguity are distributed across the various knowledge sources in the analyzer. As a result, efficiency in the analysis component is maintained, and output quality is improved.

Kathryn L. Baker | P. Jordan | A. Franz

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