Automatic machine translation systems are seen unable to produce publishable quality translation, so various computer-assisted translation systems that emphasize humanmachine cooperation have been proposed. However, translator collaboration technologies are underdeveloped, an area of great importance for large volume translation tasks. Ideally, all human translation knowledge is shared among tr...

In this paper, we describe our work-in-progress with collaborative understanding of distributed ontologies in a multiagent framework. As reported earlier, the objective of this framework is to improve communication and understanding among the agents while preserving agent autonomy. Each agent maintains a dictionary for its own ontology and a translation table. Our current work has focused on ho...

This paper presents collaborative decoding (co-decoding), a new method to improve machine translation accuracy by leveraging translation consensus between multiple machine translation decoders. Different from system combination and MBR decoding, which postprocess the n-best lists or word lattice of machine translation decoders, in our method multiple machine translation decoders collaborate by ...

The unprecedented growth in Internet technologies has created revolutionary changes in collaborative working in an on-line environment with round the world accessibility. The adoption of collaborative learning tools with remote laboratory enhances the experiential learning aspects of engineering education. This paper presents a collaborative learning and remote experiment on the control of a bi...