Paper Info
Title
Reproducible results in parsing-based machine translation: the JHU shared task submission
Abstract
We present the Johns Hopkins University submission to the 2010 WMT shared translation task. We describe processing steps using open data and open source software used in our submission, and provide the scripts and configurations required to train, tune, and test our machine translation system.
Year
Venue
Keywords
2010
WMT@ACL
translation task,open source software,parsing-based machine translation,open data,task submission,johns hopkins university submission,reproducible result,machine translation system,machine translation
Field
DocType
Citations 
Open data,Programming language,Computer science,Machine translation,Machine translation system,Parsing,Open source software,Scripting language
Conference
5
PageRank 
References 
Authors
0.52
20
1
Name
Order
Citations
PageRank
Lane Schwartz120918.01