Paper: Interactively Exploring A Machine Translation Model

ACL ID P05-3025
Title Interactively Exploring A Machine Translation Model
Venue Annual Meeting of the Association of Computational Linguistics
Session System Demonstration
Year 2005
Authors

This paper describes a method of in- teractively visualizing and directing the process of translating a sentence. The method allows a user to explore a model of syntax-based statistical machine trans- lation (MT), to understand the model’s strengths and weaknesses, and to compare it to other MT systems. Using this visual- ization method, we can find and address conceptual and practical problems in an MT system. In our demonstration at ACL, new users of our tool will drive a syntax- based decoder for themselves.