Didactic approaches to translation training

New Cognitive Approaches in Process-Oriented Translation Training

After a brief description of the state of the art, this paper presents new methods of process-oriented translation training. The different instruments used in class, such as questionnaires and other tools, the learning outcome of these methods and the improvement of proficiency achieved by these means, constitute the core of the paper. The third and final part deals with the preliminary results...

Computational Approaches to Translation Studies

New Approaches to Machine Translation

The current resurgence of interest in machine translation is partially attributable to the emergence of a variety of new paradigms, ranging from better translation aids and improved pre and post-editing methods, to highly interactive approaches and fully automated knowledge-based systems. This paper discusses each basic approach and provides some comparative analysis. It is argued that both int...

Statistical Approaches to Patent Translation for PatentMT - Experiments with Various Settings of Training Data

This paper describes our experiments and results in the NTCIR-9 Chinese-to-English Patent Translation Task. A series of open source software were integrated to build a statistical machine translation model for the task. Various Chinese segmentation, additional resources, and training corpus preprocessing were then tried based on this model. As a result, more than 20 experiments were conducted t...

Translation based approaches to probabilistic planning

The main focus of our work is the use of classical planning algorithms in service of more complex problems of planning under uncertainty. In particular, we are exploring compilation techniques that allow us to reduce some probabilistic planning problems into variants of classical planning, such as metric planning, resource-bounded planning, and cost-bounded suboptimal planning. Currently, our i...