Paper: Automatic Knowledge Acquisition for Case Alternation between the Passive and Active Voices in Japanese

ACL ID D13-1121
Title Automatic Knowledge Acquisition for Case Alternation between the Passive and Active Voices in Japanese
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2013
Authors

We present a method for automatically acquir- ing knowledge for case alternation between the passive and active voices in Japanese. By leveraging several linguistic constraints on al- ternation patterns and lexical case frames ob- tained from a large Web corpus, our method aligns a case frame in the passive voice to a corresponding case frame in the active voice and finds an alignment between their cases. We then apply the acquired knowledge to a case alternation task and prove its usefulness.