Title
Discriminative Preordering Meets Kendall'S Tau Maximization
Abstract
This paper explores a simple discriminative preordering model for statistical machine translation. Our model traverses binary constituent trees, and classifies whether children of each node should be reordered. The model itself is not extremely novel, but herein we introduce a new procedure to determine oracle labels so as to maximize Kendall's tau. Experiments in Japanese-to-English translation revealed that our simple method is comparable with, or superior to, state-of-the-art methods in translation accuracy.
Year
Venue
DocType
2015
PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL) AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (IJCNLP), VOL 2
Conference
Citations 
PageRank 
References 
2
0.37
19
Authors
5
Name
Order
Citations
PageRank
Sho Hoshino1111.53
Yusuke Miyao21513125.14
Katsuhito Sudoh332634.44
Katsuhiko Hayashi46010.32
Masaaki Nagata5195.41