Improving translation memory fuzzy matching by paraphrasing

Towards a Better Integration of Fuzzy Matches in Neural Machine Translation through Data Augmentation

We identify a number of aspects that can boost the performance of Neural Fuzzy Repair (NFR), an easy-to-implement method to integrate translation memory matches and neural machine translation (NMT). We explore various wa…

Introducing linguistic transformation to improve translation memory retrieval. Results of a professional translators’ survey for Spanish, French and Arabic

Translation memory systems (TMS) are the main component of computer-assisted translation (CAT) tools. They store translations allowing to save time by presenting translations on the database through matching of several t…

Assessing linguistically aware fuzzy matching in translation memories

Boosting Neural Machine Translation with Similar Translations

This paper explores data augmentation methods for training Neural Machine Translation to make use of similar translations, in a comparable way a human translator employs fuzzy matches. In particular, we show how we can s…

Neural Fuzzy Repair: Integrating Fuzzy Matches into Neural Machine Translation

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 …