Paper: The Selection Of The Most Probable Dependency Structure In Japanese Using Mutual Information

ACL ID P96-1055
Title The Selection Of The Most Probable Dependency Structure In Japanese Using Mutual Information
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1996
Authors

We use a statistical method to select the most probable structure or parse for a given sentence. It takes as input the dependency structures generated for the sentence by a dependency grammar, finds all triple of modifier, particle and modificant relations, calculates mutual information of each re- lation and chooses the structure for which the product of the mutual information of its relations is the highest.