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» Decomposable Modeling in Natural Language Processing
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EMNLP
2009
14 years 8 months ago
A Bayesian Model of Syntax-Directed Tree to String Grammar Induction
Tree based translation models are a compelling means of integrating linguistic information into machine translation. Syntax can inform lexical selection and reordering choices and...
Trevor Cohn, Phil Blunsom
FDL
2008
IEEE
15 years 4 months ago
VHDL-AMS Implementation of a Numerical Ballistic CNT Model for Logic Circuit Simulation
—This paper introduces a novel numerical carbon nanotube transistor (CNT) modelling approach which brings in a flexible and efficient cubic spline non-linear approximation of t...
Dafeng Zhou, Tom J. Kazmierski, Bashir M. Al-Hashi...
UML
2005
Springer
15 years 3 months ago
UML Vs. Classical Vs. Rhapsody Statecharts: Not All Models Are Created Equal
Abstract. State machines, represented by statecharts or statechart diagrams, are an important formalism for behavioural modelling. According to the research literature, the most po...
Michelle L. Crane, Jürgen Dingel
75
Voted
NLPRS
2001
Springer
15 years 2 months ago
A New Prosodic Phrasing Model for Chinese TTS Systems
This paper proposes a new prosodic phrasing model for Chinese text-tospeech systems. First, in contrast to the commonly used CART techniques, we propose a new inductive learning a...
Weijun Chen, Fuzong Lin, Jianmin Li, Bo Zhang
82
Voted
ICGI
1994
Springer
15 years 2 months ago
Inducing Probabilistic Grammars by Bayesian Model Merging
We describe a framework for inducing probabilistic grammars from corpora of positive samples. First, samples are incorporated by adding ad-hoc rules to a working grammar; subseque...
Andreas Stolcke, Stephen M. Omohundro