Computer-Aided Language Processing.
Ruslan Mitkov · 2006
The invited talk will introduce Computer-Aided Language Processing (CALP) as an emerging area of practical interest and significance and will present experiments of several CALP applications which show that while no quality is lost, much time is saved when employing CALP tools. Computer-aided language processing: context, history and examples The past years have seen a variety of promising Natural Language Processing (NLP) projects but in the vast majority of real-world applications, fully automatic NLP is still far from delivering reliable results the simple reason being that computers are not as good as humans at understanding human languages. In fact, pre-processing tools are far from perfect. By way of example, the best accuracy reported in robust parsing of unrestricted texts is around the 90 % mark (Charniak 2000) whereas best performing anaphora resolution programs score only in the 60%s (Mitkov and Hallett, forthcoming). As a result, computer-aided methods have emerged as a practical alternative. In the computer-aided scenario, processing is not done entirely by computers, but human intervention improves, post-edits or validates the output of the computer program. The invited talk will introduce the historical background of Computer-Aided Language Processing (CALP) by outlining the first example of CALP. In 1980 Martin Kay (Kay 1980) proposed the idea of Machine-Aided Translation as "A cooperative man-machine translation system, leaving the 'mechanical and routine ' translation work to the computer and 'the more rewarding, more exciting ' activities to the human translator". Machine Translation (MT) offers further (and more typical) examples of computer-aided language processing such as MT relying on post-editing. In addition, the popular