Modeling and prediction of human word search behavior in interactive machine translation

Duo Ji; Bai Yu; Bin Ma; Na Ye

doi:10.1117/12.2300343

19 December 2017 Modeling and prediction of human word search behavior in interactive machine translation

Duo Ji, Bai Yu, Bin Ma, Na Ye

Proceedings Volume 10613, 2017 International Conference on Robotics and Machine Vision; 106130H (2017) https://doi.org/10.1117/12.2300343
Event: Second International Conference on Robotics and Machine Vision, 2017, Kitakyushu, Japan

Abstract

As a kind of computer aided translation method, Interactive Machine Translation technology reduced manual translation repetitive and mechanical operation through a variety of methods, so as to get the translation efficiency, and played an important role in the practical application of the translation work. In this paper, we regarded the behavior of users' frequently searching for words in the translation process as the research object, and transformed the behavior to the translation selection problem under the current translation. The paper presented a prediction model, which is a comprehensive utilization of alignment model, translation model and language model of the searching words behavior. It achieved a highly accurate prediction of searching words behavior, and reduced the switching of mouse and keyboard operations in the users' translation process.

Citation Download Citation

Duo Ji, Bai Yu, Bin Ma, and Na Ye "Modeling and prediction of human word search behavior in interactive machine translation", Proc. SPIE 10613, 2017 International Conference on Robotics and Machine Vision, 106130H (19 December 2017); https://doi.org/10.1117/12.2300343

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available