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ACL
2010
15 years 2 months ago
Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation
We explore how to improve machine translation systems by adding more translation data in situations where we already have substantial resources. The main challenge is how to buck ...
Michael Bloodgood, Chris Callison-Burch
COLING
2010
14 years 11 months ago
Syntax-Driven Machine Translation as a Model of ESL Revision
In this work, we model the writing revision process of English as a Second Language (ESL) students with syntaxdriven machine translation methods. We compare two approaches: tree-t...
Huichao Xue, Rebecca Hwa
ACL
2011
14 years 8 months ago
Temporal Restricted Boltzmann Machines for Dependency Parsing
We propose a generative model based on Temporal Restricted Boltzmann Machines for transition based dependency parsing. The parse tree is built incrementally using a shiftreduce pa...
Nikhil Garg, James Henderson
ACL
2012
13 years 6 months ago
Combining Word-Level and Character-Level Models for Machine Translation Between Closely-Related Languages
We propose several techniques for improving statistical machine translation between closely-related languages with scarce resources. We use character-level translation trained on ...
Preslav Nakov, Jörg Tiedemann
ESANN
2007
15 years 5 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann