PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Word Lattices for Multi-Source Translation
Josh Schroeder, Trevor Cohn and Phillip Koehn
In: 12th Conference of the European Chapter of the ACL (EACL), 30 Mar - 3 Apr 2009, Athens, Greece.


Multi-source statistical machine translation is the process of generating a single translation from multiple inputs. Previous work has focused primarily on selecting from potential outputs of separate translation systems, and solely on multi-parallel corpora and test sets. We demonstrate how multi-source translation can be adapted for multiple monolingual inputs. We also examine different approaches to dealing with multiple sources, including consensus decoding, and we present a novel method of input combination to generate lattices for multi-source translation within a single translation model.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
ID Code:5889
Deposited By:Trevor Cohn
Deposited On:08 March 2010