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» Improved Source-Channel Models for Chinese Word Segmentation
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EMNLP
2006
14 years 11 months ago
A Hybrid Markov/Semi-Markov Conditional Random Field for Sequence Segmentation
Markov order-1 conditional random fields (CRFs) and semi-Markov CRFs are two popular models for sequence segmentation and labeling. Both models have advantages in terms of the typ...
Galen Andrew
ICASSP
2011
IEEE
14 years 1 months ago
Improved models for Mandarin speech-to-text transcription
This paper describes recent advances at LIMSI in Mandarin Chinese speech-to-text transcription. A number of novel approaches were introduced in the different system components. Th...
Lori Lamel, Jean-Luc Gauvain, Viet-Bac Le, Ilya Op...
ICMLC
2010
Springer
14 years 7 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
82
Voted
ICANN
2009
Springer
15 years 4 months ago
Selective Attention Improves Learning
Abstract. We demonstrate that selective attention can improve learning. Considerably fewer samples are needed to learn a source separation problem when the inputs are pre-segmented...
Antti Yli-Krekola, Jaakko Särelä, Harri ...
80
Voted
SKG
2005
IEEE
15 years 3 months ago
DLOnto: A Semantic Information Model for Digital Libraries
In this paper, we propose the Semantic Information Model for Digital Libraries - DLOnto based on the theory of the Semantic Web, and give the formalized definition of and relative ...
Ming Zhang, Zhi-Hong Deng, Shukai Ding, Dongqing Y...