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ICMLC
2010
Springer
13 years 6 months ago
An improvement of translation quality with adding key-words in parallel corpus
: In this paper, we propose a new approach to improve the translation quality by adding the Key-Words of a sentence to the parallel corpus. The main idea of the approach is to find...
Liang Tian, Fai Wong, Sam Chao
ACL
2001
13 years 10 months ago
Detecting Problematic Turns in Human-Machine Interactions: Rule-induction Versus Memory-based Learning Approaches
We address the issue of on-line detection of communication problems in spoken dialogue systems. The usefulness is investigated of the sequence of system question types and the wor...
Antal van den Bosch, Emiel Krahmer, Marc Swerts
ACL
2010
13 years 6 months ago
Training Phrase Translation Models with Leaving-One-Out
Several attempts have been made to learn phrase translation probabilities for phrasebased statistical machine translation that go beyond pure counting of phrases in word-aligned t...
Joern Wuebker, Arne Mauser, Hermann Ney
ICML
2009
IEEE
14 years 9 months ago
Online dictionary learning for sparse coding
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
COLING
2010
13 years 3 months ago
YanFa: An Online Automatic Scoring and Intelligent Feedback System of Student English-Chinese Translation
Online learning calls for instant assessment and feedback. YanFa is a system developed to score online EnglishChinese translation exercises with intelligent feedback for Chinese n...
Yan Tian