Interuniversity task-based cross-disciplinary collaborative learning model a case study of design and implementation of machine translation system

This paper attempts to construct an interuniversity task-based collaborative learning model for students from different disciplines - applied mathematics majors from Xi´an University of Architecture & Technology and English majors from Shaanxi Normal University on the theoretical basis of Constructivism and Social Constructivism. The learning model presented here is based on the combination of traditional practice teaching and autonomous learning, complementation of local research and distance collaboration and the use of Internet. In needs for the machine translation system of English proverbs into Chinese, students involved constructed the English proverb corpus and designed and implemented its Web-based machine translation system. Thus, those students´ team spirit and cross-disciplinary all round capabilities of practice and innovation were enhanced, which offers the practice teaching with the scientific grounds.