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» Large Language Models in Machine Translation
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LREC
2010
150views Education» more  LREC 2010»
14 years 11 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 entit...
William D. Lewis, Chris Wendt, David Bullock
IJCNN
2007
IEEE
15 years 3 months ago
Philosophical Aspects of Neural, Probabilistic and Fuzzy Modeling of Language Use and Translation
— Serious efforts to develop computerized systems for natural language understanding and machine translation have taken place for more than half a century. Some successful system...
Timo Honkela
COLING
1996
14 years 10 months ago
Example-Based Machine Translation in the Pangloss System
The Pangloss Example-Based Machine Translation engine (I'anEI3MT) l is a translation system reql,iring essentially no knowledge of the structure of a language, merely a large...
Ralf D. Brown
90
Voted
IAT
2009
IEEE
15 years 4 months ago
An Intelligent Agent That Autonomously Learns How to Translate
—We describe the design of an autonomous agent that can teach itself how to translate from a foreign language, by first assembling its own training set, then using it to improve...
Marco Turchi, Tijl De Bie, Nello Cristianini
ACL
2012
12 years 12 months ago
Character-Level Machine Translation Evaluation for Languages with Ambiguous Word Boundaries
In this work, we introduce the TESLACELAB metric (Translation Evaluation of Sentences with Linear-programming-based Analysis – Character-level Evaluation for Languages with Ambi...
Chang Liu, Hwee Tou Ng