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 …

We present a simple yet powerful data augmentation method for boosting Neural Machine
Translation (NMT) performance by leveraging information retrieved from a Translation …

Translation environments offer various translation aids to support professional translators.
However, translation aids typically provide only limited justification for the translation …

The rapid development of natural language processing in the last three decades has
drastically changed the way professional translators do their work. Nowadays most of them …

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 …

When using computer-aided translation systems in a typical, professional translation
workflow, there are several stages at which there is room for improvement. The SCATE …

Retrieve-edit-rerank is a text generation framework composed of three steps: retrieving for
sentences using the input sentence as a query, generating multiple output sentence …

We present TMop, the first open-source tool for automatic Translation Memory (TM)
cleaning. The tool implements a fully unsupervised approach to the task, which allows …

In general, advances in translation technology tools have enhanced translation quality
significantly. Unfortunately, however, it seems that this is not the case for all language pairs …

The similar translation sentences has been widely employed in machine translation task
(MT), such as the NFR model (Bulte and Tezcan, 2019) and the Retrieve-Edit-Rerank …