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EMNLP
2008
15 years 1 months ago
Improving Interactive Machine Translation via Mouse Actions
Although Machine Translation (MT) is a very active research field which is receiving an increasing amount of attention from the research community, the results that current MT sys...
Germán Sanchis-Trilles, Daniel Ortiz-Mart&i...
KCAP
2003
ACM
15 years 5 months ago
Building large knowledge bases by mass collaboration
Acquiring knowledge has long been the major bottleneck preventing the rapid spread of AI systems. Manual approaches are slow and costly. Machine-learning approaches have limitatio...
Matthew Richardson, Pedro Domingos
COLING
1996
15 years 1 months ago
Corpus-based annotated test set for Machine Translation evaluation by an Industrial User
This article is concerned with the building of a test data set for assisting the industrial user in machine translation evaluation. The emphasis is laid on the interest of an appr...
Eva Dauphin, Veronika Lux
ECAI
2008
Springer
15 years 1 months ago
Fighting Knowledge Acquisition Bottleneck with Argument Based Machine Learning
Knowledge elicitation is known to be a difficult task and thus a major bottleneck in building a knowledge base. Machine learning has long ago been proposed as a way to alleviate th...
Martin Mozina, Matej Guid, Jana Krivec, Aleksander...
ACL
2009
14 years 9 months ago
The Contribution of Linguistic Features to Automatic Machine Translation Evaluation
A number of approaches to Automatic MT Evaluation based on deep linguistic knowledge have been suggested. However, n-gram based metrics are still today the dominant approach. The ...
Enrique Amigó, Jesús Giménez,...