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CISTI'2017 - 12ª Conferência Ibérica de Sistemas e Tecnologias de Informação

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Reference-free System for Automated Human Translation Quality Estimation

In this study the plausibility of automated human
translation quality estimation is investigated to tackle the
slowness, expensiveness and inconsistency of human evaluation.
Drawing on some limitations of human evaluation, a referencefree
approach of confidence estimation using machine learning is
advanced with four laid out research questions. The methodology
characteristic of this approach to address these questions is then
provided in detail. Finally, the author reports the latest progress
of the project and some preliminary findings from the work in
the conclusion.

Author(s):

Yu Yuan    
Nanjing University of Information Science and Technology
China

Bogdan Babych    
University of Leeds
United Kingdom

Serge Sharoff    
University of Leeds
United Kingdom

 

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