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FMSD
2008
110views more  FMSD 2008»
15 years 6 months ago
Automatic symbolic compositional verification by learning assumptions
Abstract Compositional reasoning aims to improve scalability of verification tools by reducing the original verification task into subproblems. The simplification is typically base...
Wonhong Nam, P. Madhusudan, Rajeev Alur
ACL
2009
15 years 4 months ago
Semi-supervised Learning of Dependency Parsers using Generalized Expectation Criteria
In this paper, we propose a novel method for semi-supervised learning of nonprojective log-linear dependency parsers using directly expressed linguistic prior knowledge (e.g. a no...
Gregory Druck, Gideon S. Mann, Andrew McCallum
175
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COLING
2010
15 years 1 months ago
Learning to Predict Readability using Diverse Linguistic Features
In this paper we consider the problem of building a system to predict readability of natural-language documents. Our system is trained using diverse features based on syntax and l...
Rohit J. Kate, Xiaoqiang Luo, Siddharth Patwardhan...
JMLR
2011
187views more  JMLR 2011»
15 years 1 months ago
Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation
We propose a distance phrase reordering model (DPR) for statistical machine translation (SMT), where the aim is to learn the grammatical rules and context dependent changes using ...
Yizhao Ni, Craig Saunders, Sándor Szedm&aac...
INTERSPEECH
2010
15 years 1 months ago
Learning speaker normalization using semisupervised manifold alignment
As a child acquires language, he or she: perceives acoustic information in his or her surrounding environment; identifies portions of the ambient acoustic information as languager...
Andrew R. Plummer, Mary E. Beckman, Mikhail Belkin...