Most previous work on trainable language generation has focused on two paradigms: (a) using a statistical model to rank a set of generated utterances, or (b) using statistics to i...
We address the problem of improving the efficiency of natural language text input under degraded conditions (for instance, on PDAs or cell phones or by disabled users) by taking a...
In this paper, we present a novel steganographic technique for hiding data in a kind of PDF texts. We first point out the secret channels in a kind of PDF English texts, which ar...
An important issue in text mining is how to make use of multiple pieces knowledge discovered to improve future decisions. In this paper, we propose a new approach to combining mult...
We present results ofexperiments designed to assess the usefulness of a new technique for the evaluation of translation quality, comparing human rankings with automatic measures. ...