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EACL
2006
ACL Anthology
13 years 9 months ago
CDER: Efficient MT Evaluation Using Block Movements
Most state-of-the-art evaluation measures for machine translation assign high costs to movements of word blocks. In many cases though such movements still result in correct or alm...
Gregor Leusch, Nicola Ueffing, Hermann Ney
ICML
2001
IEEE
14 years 8 months ago
Learning to Select Good Title Words: An New Approach based on Reverse Information Retrieval
In this paper, we show how we can learn to select good words for a document title. We view the problem of selecting good title words for a document as a variant of an Information ...
Rong Jin, Alexander G. Hauptmann
EMNLP
2009
13 years 5 months ago
Polylingual Topic Models
Topic models are a useful tool for analyzing large text collections, but have previously been applied in only monolingual, or at most bilingual, contexts. Meanwhile, massive colle...
David M. Mimno, Hanna M. Wallach, Jason Naradowsky...
ACL
2008
13 years 9 months ago
Beyond Log-Linear Models: Boosted Minimum Error Rate Training for N-best Re-ranking
Current re-ranking algorithms for machine translation rely on log-linear models, which have the potential problem of underfitting the training data. We present BoostedMERT, a nove...
Kevin Duh, Katrin Kirchhoff
DSRT
2005
IEEE
14 years 1 months ago
Modeling Decentralized Real-Time Control by State Space Partition of Timed Automata
Timed automata provide useful state machine based representations for the validation and verification of realtime control systems. This paper introduces an algorithmic methodolog...
Thanikesavan Sivanthi, Srivas Chennu, Lothar Kreft