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» The Impact of Reference Quality on Automatic MT Evaluation
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ACL
2008
14 years 11 months ago
Better Alignments = Better Translations?
Automatic word alignment is a key step in training statistical machine translation systems. Despite much recent work on word alignment methods, alignment accuracy increases often ...
Kuzman Ganchev, João Graça, Ben Task...
85
Voted
WSDM
2010
ACM
245views Data Mining» more  WSDM 2010»
15 years 7 months ago
Improving Quality of Training Data for Learning to Rank Using Click-Through Data
In information retrieval, relevance of documents with respect to queries is usually judged by humans, and used in evaluation and/or learning of ranking functions. Previous work ha...
Jingfang Xu, Chuanliang Chen, Gu Xu, Hang Li, Elbi...
TIP
2010
161views more  TIP 2010»
14 years 4 months ago
Automatic Parameter Selection for Denoising Algorithms Using a No-Reference Measure of Image Content
Across the field of inverse problems in image and video processing, nearly all algorithms have various parameters which need to be set in order to yield good results. In practice, ...
Xiang Zhu, Peyman Milanfar
AVBPA
2005
Springer
248views Biometrics» more  AVBPA 2005»
15 years 3 months ago
A New On-Line Model Quality Evaluation Method for Speaker Verification
The accurate selection of the utterances is very important to obtain right estimated speaker models in speaker verification. In this sense, it is important to determine the quality...
Javier R. Saeta, Javier Hernando
84
Voted
LREC
2008
159views Education» more  LREC 2008»
14 years 11 months ago
Evaluation of Context-Dependent Phrasal Translation Lexicons for Statistical Machine Translation
We present new direct data analysis showing that dynamically-built context-dependent phrasal translation lexicons are more useful resources for phrase-based statistical machine tr...
Marine Carpuat, Dekai Wu