Despite their ability to help with program correctness, assertions have been notoriously unpopular--even with professional programmers. End-user programmers seem even less likely ...
Aaron Wilson, Margaret M. Burnett, Laura Beckwith,...
We demonstrate that transformation-based learning can be used to correct noisy speech recognition transcripts in the lecture domain with an average word error rate reduction of 12...
The production of rich multilingual speech corpus resources on a large scale is a requirement for many linguistic, phonetic and technological tasks, in both research and applicati...
Codes for rank modulation have been recently proposed as a means of protecting flash memory devices from errors. We study basic coding theoretic problems for such codes, representi...
We introduce a novel and inexpensive approach for the temporal alignment of speech to highly imperfect transcripts from automatic speech recognition (ASR). Transcripts are generat...