In this paper we present the results of a study designed to evaluate the computer-based methods of learning American Sign Language (ASL). We describe a method including an initial...
The importance of providing a mechanism to call C functions from high-level languages has been understood for many years and, these days, almost all statically-typed high-level-la...
We describe a pattern acquisition algorithm that learns, in an unsupervised fashion, a streamlined representation of linguistic structures from a plain natural-language corpus. Th...
Zach Solan, David Horn, Eytan Ruppin, Shimon Edelm...
In this paper we explore the idea that the code that constitutes a program actually forms a higher-level, program specific language. The symbols of the language are the abstracti...
We propose a new family of probabilistic description logics (DLs) that, in contrast to most existing approaches, are derived in a principled way from Halpern’s probabilistic fi...