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ACL
2007
13 years 9 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
13 years 8 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
ECSA
2010
Springer
13 years 6 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...
NAACL
2004
13 years 9 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
13 years 11 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