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ACL
2012
12 years 10 days ago
Prediction of Learning Curves in Machine Translation
Parallel data in the domain of interest is the key resource when training a statistical machine translation (SMT) system for a specific purpose. Since ad-hoc manual translation c...
Prasanth Kolachina, Nicola Cancedda, Marc Dymetman...
ACL
2009
13 years 7 months ago
Accurate Learning for Chinese Function Tags from Minimal Features
Data-driven function tag assignment has been studied for English using Penn Treebank data. In this paper, we address the question of whether such method can be applied to other la...
Caixia Yuan, Fuji Ren, Xiaojie Wang
UM
2001
Springer
14 years 2 months ago
Applying Interactive Open Learner Models to Learning Technical Terminology
Our work explores an interactive open learner modelling (IOLM) approach where learner diagnosis is considered as an interactive process involving both a computer system and a learn...
Vania Dimitrova, John A. Self, Paul Brna
JMLR
2012
12 years 11 days ago
Metric and Kernel Learning Using a Linear Transformation
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
C5
2006
IEEE
14 years 4 months ago
Idioms for Composing Games with EToys
1 Creating one’s own games has been the main motivation for many people to learn programming. But the barrier to learn a general purpose programming language is very high, espec...
Markus Gälli, Oscar Nierstrasz, Serge Stinckw...