Bram Bulté

Also published as: Bram Bulte


2019

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Neural Fuzzy Repair: Integrating Fuzzy Matches into Neural Machine Translation
Bram Bulte | Arda Tezcan
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

We present a simple yet powerful data augmentation method for boosting Neural Machine Translation (NMT) performance by leveraging information retrieved from a Translation Memory (TM). We propose and test two methods for augmenting NMT training data with fuzzy TM matches. Tests on the DGT-TM data set for two language pairs show consistent and substantial improvements over a range of baseline systems. The results suggest that this method is promising for any translation environment in which a sizeable TM is available and a certain amount of repetition across translations is to be expected, especially considering its ease of implementation.

2018

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M3TRA: integrating TM and MT for professional translators
Bram Bulté | Tom Vanallemeersch | Vincent Vandeghinste
Proceedings of the 21st Annual Conference of the European Association for Machine Translation

Translation memories (TM) and machine translation (MT) both are potentially useful resources for professional translators, but they are often still used independently in translation workflows. As translators tend to have a higher confidence in fuzzy matches than in MT, we investigate how to combine the benefits of TM retrieval with those of MT, by integrating the results of both. We develop a flexible TM-MT integration approach based on various techniques combining the use of TM and MT, such as fuzzy repair, span pretranslation and exploiting multiple matches. Results for ten language pairs using the DGT-TM dataset indicate almost consistently better BLEU, METEOR and TER scores compared to the MT, TM and NMT baselines.

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Smart Computer-Aided Translation Environment (SCATE): Highlights
Vincent Vandeghinste | Tom Vanallemeersch | Bram Bulté | Liesbeth Augustinus | Frank Van Eynde | Joris Pelemans | Lyan Verwimp | Patrick Wambacq | Geert Heyman | Marie-Francine Moens | Iulianna van der Lek-Ciudin | Frieda Steurs | Ayla Rigouts Terryn | Els Lefever | Arda Tezcan | Lieve Macken | Sven Coppers | Jens Brulmans | Jan Van Den Bergh | Kris Luyten | Karin Coninx
Proceedings of the 21st Annual Conference of the European Association for Machine Translation

We present the highlights of the now finished 4-year SCATE project. It was completed in February 2018 and funded by the Flemish Government IWT-SBO, project No. 130041.1