Introducing Additional Input Information into Interactive Machine Translation Systems

Authors:
Germán Sanchis-Trilles;Maria-Teresa González;Francisco Casacuberta;Enrique Vidal;Jorge Civera
Affiliations:
Instituto Tecnológico de Informática, , Valencia, Spain 46020;Instituto Tecnológico de Informática, , Valencia, Spain 46020;Instituto Tecnológico de Informática, , Valencia, Spain 46020;Instituto Tecnológico de Informática, , Valencia, Spain 46020;Instituto Tecnológico de Informática, , Valencia, Spain 46020
Venue:
MLMI '08 Proceedings of the 5th international workshop on Machine Learning for Multimodal Interaction
Year:
2008

Citing 8
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Preface

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Abstract

Statistical Machine Translation (SMT) has been receiving a very great amount of attention in recent years. However, translations provided by SMT systems are still far from being perfect. This fact leads to the necessity of including a human expert in the translation process to assure high quality translations. Among the possible ways to incorporate human knowledge in a translation process, we adopt the Interactive-Predictive (IP) framework. In this framework, we show how the mouse actions that the expert performs offer information to the IP system, and can be used to automatically improve the translation even before the user introduces a correction. In addition, we present an improved user interface, which introduces mouse actions as a novel, additional, input information source for the underlying SMT engine.