Paper: Analyzing Dependencies Of Japanese Subordinate Clauses Based On Statistics Of Scope Embedding Preference

ACL ID A00-2015
Title Analyzing Dependencies Of Japanese Subordinate Clauses Based On Statistics Of Scope Embedding Preference
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2000
Authors

This paper proposes a statistical method for learning dependency preference of Japanese subordinate clauses, in which scope embedding preference of subordinate clauses is exploited as a useful information source for disambiguat- ing dependencies between subordinate clauses. Estimated dependencies of subordinate clauses successfully increase the precision of an existing statistical dependency analyzer.