Gradable Quality Translations through Mutualization of Human Translation and Revision, and UNL-Based MT and Coedition
Christian Boitet · Research in Computing Science · 2005
Translation of specialized information for end users into many lan- guages is necessary, whether it concerns agriculture, health, etc. The of translations must be gradable, from poor for non-essential parts to very good for crucial parts, and translated segments should be accompanied with a meas- ured and certified quality level. We sketch an organization where this can be obtained through a combination of human work and automatic NLP techniques, using the UNL language of anglosemantic graphs as a pivot. Building the necessary multilingual lexical data base can be done in a mutualized way, and all these functions should be integrated in a Montaigne environment allowing users to access information through a browser and to switch to translating or postediting and back.