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Static Type Inference in a Dynamically Typed Language
Static Type Inference Dynamically Typed Language
2016/5/25
We present a type inference system for FL based on an operational, rather than a denotational, formulation of types. The essential elements of the system are a type language based on regular trees and...
A Markov Model of Machine Translation using Non-parametric Bayesian Inference
Markov Model Machine Translation Non-parametric Bayesian Inference
2014/3/20
Most modern machine translation systems use phrase pairs as translation units, allowing for accurate modelling of phraseinternal translation and reordering. However phrase-based approaches are much le...
A Compact Forest for Scalable Inference over Entailment and Paraphrase Rules
Compact Forest Scalable Inference over Entailment Paraphrase Rules
2013/4/22
A large body of recent research has been investigating the acquisition and application of applied inference knowledge. Such knowledge may be typically captured as entailment rules, applied over syntac...