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 …

Most memory-based methods use encoded retrieved pairs as the translation memory (TM) to
provide external guidance, but there still exist some noisy words in the retrieved pairs. In this …

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 …

With the fast advancement of AI technology in recent years, many excellent Data
Augmentation (DA) approaches have been investigated to increase data efficiency in …

Fuzzy matching techniques are the presently used methods in translating the words. Neural
machine translation and statistical machine translation are the methods used in MT. In …

Two of the more predominant technologies that professional translators have at their
disposal for improving productivity are machine translation (MT) and computeraided …

Translation memories (TM) and machine translation (MT) both are potentially useful
resources for professional translators, but they are often still used independently in …

In this chapter, an innovative approach to the development of a CALT toolkit is put forward,
which has the following characteristics:(i) issues coming from the direct conversion of CAT …

Translation memories (TMs) are the backbone for professional translation tools called
computer-aided translation (CAT) tools. In order to perform a translation using a CAT tool, a …