Paper Info
Title
Demonstration of Joshua: an open source toolkit for parsing-based machine translation
Abstract
We describe Joshua (Li et al., 2009a), an open source toolkit for statistical machine translation. Joshua implements all of the algorithms required for translation via synchronous context free grammars (SCFGs): chart-parsing, n-gram language model integration, beam- and cube-pruning, and k-best extraction. The toolkit also implements suffix-array grammar extraction and minimum error rate training. It uses parallel and distributed computing techniques for scalability. We also provide a demonstration outline for illustrating the toolkit's features to potential users, whether they be newcomers to the field or power users interested in extending the toolkit.
Year
Venue
Keywords
2009
ACL/IJCNLP (Software Demonstrations)
free grammar,open source toolkit,statistical machine translation,parsing-based machine translation,potential user,n-gram language model integration,k-best extraction,power user,minimum error rate training,suffix-array grammar extraction,demonstration outline,machine translation
Field
DocType
Volume
Context-free grammar,Computer science,Machine translation,Word error rate,Synchronous context-free grammar,Natural language processing,Artificial intelligence,Parsing,Computer-assisted translation,Machine learning,Language model,Scalability
Conference
P09-4
Citations 
PageRank 
References 
4
0.41
14
Authors
9
Name
Order
Citations
PageRank
Zhifei Li133923.83
Chris Callison-Burch24872259.75
chris dyer35438232.28
Juri Ganitkevitch465932.71
Sanjeev Khudanpur52155202.00
Lane Schwartz620918.01
Wren N. G. Thornton71247.74
Jonathan Weese832519.11
Omar Zaidan978743.28