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» Information-Based Machine Translation
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NIPS
2008
15 years 2 months ago
Bayesian Synchronous Grammar Induction
We present a novel method for inducing synchronous context free grammars (SCFGs) from a corpus of parallel string pairs. SCFGs can model equivalence between strings in terms of su...
Phil Blunsom, Trevor Cohn, Miles Osborne
VEE
2006
ACM
150views Virtualization» more  VEE 2006»
15 years 6 months ago
Evaluating fragment construction policies for SDT systems
Software Dynamic Translation (SDT) systems have been used for program instrumentation, dynamic optimization, security policy enforcement, intrusion detection, and many other uses....
Jason Hiser, Daniel Williams, Adrian Filipi, Jack ...
JUCS
2006
185views more  JUCS 2006»
15 years 20 days ago
The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States
We outline the Berlin Brain-Computer Interface (BBCI), a system which enables us to translate brain signals from movements or movement intentions into control commands. The main co...
Benjamin Blankertz, Guido Dornhege, Steven Lemm, M...
BMCBI
2008
220views more  BMCBI 2008»
15 years 25 days ago
Gene prediction in metagenomic fragments: A large scale machine learning approach
Background: Metagenomics is an approach to the characterization of microbial genomes via the direct isolation of genomic sequences from the environment without prior cultivation. ...
Katharina J. Hoff, Maike Tech, Thomas Lingner, Rol...
130
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IALP
2010
14 years 7 months ago
Sentence Similarity-Based Source Context Modelling in PBSMT
Target phrase selection, a crucial component of the state-of-the-art phrase-based statistical machine translation (PBSMT) model, plays a key role in generating accurate translation...
Rejwanul Haque, Sudip Kumar Naskar, Andy Way, Mart...