Publikation
Multi-Engine and Multi-Alignment Based Automatic Post-Editing and its Impact on Translation Productivity
Santanu Pal; Sudip Kumar Naskar; Josef van Genabith
In: 26th International Conference on Computational Linguistics. International Conference on Computational Linguistics (COLING-2016), 26th, December 11-16, Osak, Japan, Vol. Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, 2016.
Zusammenfassung
In this paper we combine two strands of machine translation (MT) research: automatic
postediting (APE) and multi-engine (system combination) MT. APE systems learn a target-
languageside second stage MT system from the data produced by human corrected output
of a first stage MT system, to improve the output of the first stage MT in what is essentially a
sequential MT system combination architecture. At the same time, there is a rich research
literature on parallel MT system combination where the same input is fed to multiple engines
and the best output is selected or smaller sections of the outputs are combined to obtain
improved translation output. In the paper we show that parallel system combination in the
APE stage of a sequential MT-APE combination yields substantial translation improvements
both measured in terms of automatic evaluation metrics as well as in terms of productivity.