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» The Contribution of Linguistic Features to Automatic Machine...
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ACL
2007
13 years 9 months ago
Generating Complex Morphology for Machine Translation
We present a novel method for predicting inflected word forms for generating morphologically rich languages in machine translation. We utilize a rich set of syntactic and morphol...
Einat Minkov, Kristina Toutanova, Hisami Suzuki
ACL
2007
13 years 9 months ago
Improved Word-Level System Combination for Machine Translation
Recently, confusion network decoding has been applied in machine translation system combination. Due to errors in the hypothesis alignment, decoding may result in ungrammatical co...
Antti-Veikko I. Rosti, Spyridon Matsoukas, Richard...
ACL
2008
13 years 9 months ago
Cohesive Phrase-Based Decoding for Statistical Machine Translation
Phrase-based decoding produces state-of-theart translations with no regard for syntax. We add syntax to this process with a cohesion constraint based on a dependency tree for the ...
Colin Cherry
FMOODS
2008
13 years 9 months ago
Symbolic Step Encodings for Object Based Communicating State Machines
In this work, novel symbolic step encodings of the transition relation for object based communicating state machines are presented. This class of systems is tailored to capture the...
Jori Dubrovin, Tommi A. Junttila, Keijo Heljanko
NAACL
2010
13 years 5 months ago
Predicting Human-Targeted Translation Edit Rate via Untrained Human Annotators
In the field of machine translation, automatic metrics have proven quite valuable in system development for tracking progress and measuring the impact of incremental changes. Howe...
Omar Zaidan, Chris Callison-Burch