Sciweavers

LREC
2010

Achieving Domain Specificity in SMT without Overt Siloing

13 years 5 months ago
Achieving Domain Specificity in SMT without Overt Siloing
We examine pooling data as a method for improving Statistical Machine Translation (SMT) quality for narrowly defined domains, such as data for a particular company or public entity. By pooling all available data, building large SMT engines, and using domain-specific target language models, we see boosts in quality, and can achieve the generalizability and resiliency of a larger SMT but with the precision of a domain-specific engine.
William D. Lewis, Chris Wendt, David Bullock
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2010
Where LREC
Authors William D. Lewis, Chris Wendt, David Bullock
Comments (0)