All systems for automatic sign language translation and recognition, in particular statistical systems, rely on adequately sized corpora. For this purpose, we created the Phoenix corpus that is based on German television weather reports translated into German Sign Language. It comes with a rich annotation of the video data, a bilingual text-based sentence corpus and a monolingual German corpus.

We propose a generic, memory-based approach for the detection of implicit semantic roles. While state-of-the-art methods for this task combine hand-crafted rules with specialized and costly lexical resources, our models use large corpora with automated annotations for explicit semantic roles only to capture the distribution of predicates and their associated roles. We show that memory-based lea...

The purpose of this study was to investigate the potential of a constructivist approach to context-based video instruction for enhancing learning. To achieve this purpose, the authors examined whether video-based instruction that was developed using constructivist theory can affect student learning (i.e., comprehension and retention) and motivation (i.e., attention, relevance, confidence, and s...

This paper consists of a review of current trends in web-based instruction and a review of a representative sample of web-based instruction efficacy research. The review of the current state of web-based instruction yields two principle themes: a) The prevalence of web-based instruction is growing exponentially, particularly in lifelong learning and corporate training; and b) The line between a...