In this paper, we present a novel approach for authorship attribution, the task of identifying the author of a document, using probabilistic context-free grammars. Our approach in...
Sindhu Raghavan, Adriana Kovashka, Raymond J. Moon...
We propose a structure called dependency forest for statistical machine translation. A dependency forest compactly represents multiple dependency trees. We develop new algorithms ...
Zhaopeng Tu, Yang Liu, Young-Sook Hwang, Qun Liu, ...
A new Extensible Markup Language (XML) application, Molecular Dynamics Language (MoDL) has been developed. MoDL provides a simple, but powerful tool for molecular dynamics visuali...
We propose a corpus-based probabilistic framework to extract hidden common syntax across languages from non-parallel multilingual corpora in an unsupervised fashion. For this purp...
We present a programming language model of the ideas behind Functional Adaptive Programming (AP-F) and our Java implementation, DemeterF. Computation in AP-F is encapsulated in se...