University of Pittsburg

Information visualization and its applications for machine translation

In this talk, I will present an interactive interface that helps users to explore and understand imperfect outputs from automatic machine translation (MT) systems. The target users of our system are people who do not understand the original (source) language. Through a visualization of multiple linguistic resources, our system enables users to identify potential translation mistakes and make educated guesses as to how to correct them. Experimental results suggest that users of our prototype are able to correct some difficult translation errors that they would have found baffling otherwise. The experiments further suggest adaptive methods to improve standard phrase-based machine translation systems.

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