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» Domain Adaptation of Maximum Entropy Language Models
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96
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SSPR
2004
Springer
15 years 5 months ago
Adaptive Context for a Discrete Universal Denoiser
Abstract. Statistical analysis of spatially uniform signal contexts allows Discrete Universal Denoiser (DUDE) to effectively correct signal errors caused by a discrete symmetric me...
Georgy L. Gimel'farb
107
Voted
IEICET
2008
136views more  IEICET 2008»
15 years 14 days ago
Bilingual Cluster Based Models for Statistical Machine Translation
We propose a domain specific model for statistical machine translation. It is wellknown that domain specific language models perform well in automatic speech recognition. We show ...
Hirofumi Yamamoto, Eiichiro Sumita
98
Voted
COMPGEOM
2008
ACM
15 years 2 months ago
Routing a maximum number of disks through a scene of moving obstacles
This video illustrates an algorithm for computing a maximum number of disjoint paths for unit disks moving among a set of dynamic obstacles in the plane. The problem is motivated ...
Joondong Kim, Joseph S. B. Mitchell, Valentin Poli...
94
Voted
INTERSPEECH
2010
14 years 7 months ago
Rapid bootstrapping of five eastern european languages using the rapid language adaptation toolkit
This paper presents our latest efforts toward LVCSR systems for five Eastern European languages such as Bulgarian, Croatian, Czech, Polish, and Russian using our Rapid Language Ad...
Ngoc Thang Vu, Tim Schlippe, Franziska Kraus, Tanj...
ANLP
1994
80views more  ANLP 1994»
15 years 1 months ago
Improving Language Models by Clustering Training Sentences
Many of the kinds of language model used in speech understanding suffer from imperfect modeling of intra-sentential contextual influences. I argue that this problem can be address...
David M. Carter