Abstract

We present a method to generate feature-rich multilingual parallel datasets for ma-chine translation systems, including e.g. type of widget, user’s locale, or geoloca-tion. To support this argument, we have developed a bookmarklet that instruments arbitrary websites so that casual end users can modify their texts on demand. After surveying 52 users, we conclude that peo-ple is leaned toward using this method in lieu of other comparable alternatives. We validate our prototype in a controlled study with 10 users, showing that language re-sources can be easily generated. 1