The present contribution aims at increasing our understanding of automatic speech recognition (ASR) errors involving frequent homophone or almost homophone words by confronting th...
Entities -- people, organizations, locations and the like -- have long been a central focus of natural language processing technology development, since entities convey essential ...
We present new direct data analysis showing that dynamically-built context-dependent phrasal translation lexicons are more useful resources for phrase-based statistical machine tr...
: In this paper, we discuss adjustable coverage criteria and their combinations in model-based testing. We formalize coverage criteria and specify test goals using OCL. Then, we pr...
Mario Friske, Bernd-Holger Schlingloff, Stephan We...
Objective: To apply and compare common machine learning techniques with an expert-built Bayesian Network to determine eligibility for asthma guidelines in pediatric emergency depa...
Judith W. Dexheimer, Laura E. Brown, Jeffrey Leego...