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» Evaluation Metrics for Knowledge-Based Machine Translation
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ACL
2010
13 years 5 months ago
Bridging SMT and TM with Translation Recommendation
We propose a translation recommendation framework to integrate Statistical Machine Translation (SMT) output with Translation Memory (TM) systems. The framework recommends SMT outp...
Yifan He, Yanjun Ma, Josef van Genabith, Andy Way
EMNLP
2009
13 years 5 months ago
Feasibility of Human-in-the-loop Minimum Error Rate Training
Minimum error rate training (MERT) involves choosing parameter values for a machine translation (MT) system that maximize performance on a tuning set as measured by an automatic e...
Omar Zaidan, Chris Callison-Burch
ACL
2006
13 years 8 months ago
Minimum Risk Annealing for Training Log-Linear Models
When training the parameters for a natural language system, one would prefer to minimize 1-best loss (error) on an evaluation set. Since the error surface for many natural languag...
David A. Smith, Jason Eisner
EMNLP
2008
13 years 8 months ago
Complexity of Finding the BLEU-optimal Hypothesis in a Confusion Network
Confusion networks are a simple representation of multiple speech recognition or translation hypotheses in a machine translation system. A typical operation on a confusion network...
Gregor Leusch, Evgeny Matusov, Hermann Ney
ACL
2007
13 years 8 months ago
Corpus Effects on the Evaluation of Automated Transliteration Systems
Most current machine transliteration systems employ a corpus of known sourcetarget word pairs to train their system, and typically evaluate their systems on a similar corpus. In t...
Sarvnaz Karimi, Andrew Turpin, Falk Scholer