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119
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ACL
2007
15 years 4 months ago
Grammar Approximation by Representative Sublanguage: A New Model for Language Learning
We propose a new language learning model that learns a syntactic-semantic grammar from a small number of natural language strings annotated with their semantics, along with basic ...
Smaranda Muresan, Owen Rambow
AI
2006
Springer
15 years 2 months ago
Discovering the linear writing order of a two-dimensional ancient hieroglyphic script
This paper demonstrates how machine learning methods can be applied to deal with a realworld decipherment problem where very little background knowledge is available. The goal is ...
Shou de Lin, Kevin Knight
113
Voted
ECSA
2010
Springer
15 years 1 months ago
Industry taxonomy engineering: the case of the European software ecosystem
Presently, no methods exist that support the creation process of an industry taxonomy within a specific domain. Without such a method, taxonomies remain erroneous, making the deve...
Ivo Hunink, Rene van Erk, Slinger Jansen, Sjaak Br...
132
Voted
NAACL
2004
15 years 3 months ago
A Language Modeling Approach to Predicting Reading Difficulty
We demonstrate a new research approach to the problem of predicting the reading difficulty of a text passage, by recasting readability in terms of statistical language modeling. W...
Kevyn Collins-Thompson, James P. Callan
FMCAD
2000
Springer
15 years 6 months ago
The Semantics of Verilog Using Transition System Combinators
Abstract. Since the advent of model checking it is becoming more common for languages to be given a semantics in terms of transition systems. Such semantics allow to model check pr...
Gordon J. Pace