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ACL
2008
15 years 5 months ago
Name Translation in Statistical Machine Translation - Learning When to Transliterate
We present a method to transliterate names in the framework of end-to-end statistical machine translation. The system is trained to learn when to transliterate. For Arabic to Engl...
Ulf Hermjakob, Kevin Knight, Hal Daumé III
ANLP
1997
111views more  ANLP 1997»
15 years 5 months ago
An Improvement in the Selection Process of Machine Translation Using Inductive Learning with Genetic Algorithms
We proposed a method of machine translation using inductive learning with genetic algorithms, and confirmed the effectiveness of applying genetic algorithms. However, the system b...
Hiroshi Echizen-ya, Kenji Araki, Yoshikazu Miyanag...
124
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CORR
1999
Springer
81views Education» more  CORR 1999»
15 years 3 months ago
Explanation-based Learning for Machine Translation
In this paper we present an application of explanation-based learning (EBL) in the parsing module of a real-time English-Spanish machine translation system designed to translate c...
Janine Toole, Fred Popowich, Devlan Nicholson, Dav...
ICALT
2005
IEEE
15 years 9 months ago
The Effect of Interactivity on Web-Based Instruction Learners' Attitude, Satisfaction, and Performances
The Internet breaks the limitations of time and space and provides a flexible platform for learning. Learning is a two-way communication and interactivity is a process to enhance ...
Juei-ni Sun, Yu-chen Hsu
CDC
2009
IEEE
159views Control Systems» more  CDC 2009»
15 years 8 months ago
A distributed machine learning framework
Abstract— A distributed online learning framework for support vector machines (SVMs) is presented and analyzed. First, the generic binary classification problem is decomposed in...
Tansu Alpcan, Christian Bauckhage