Large-scale generative models show an impressive ability to perform a wide range of
Natural Language Processing (NLP) tasks using in-context learning, where a few examples …

With direct access to human-written reference as memory, retrieval-augmented generation
has achieved much progress in a wide range of text generation tasks. Since better memory …

Prior work has proved that Translation memory (TM) can boost the performance of Neural
Machine Translation (NMT). In contrast to existing work that uses bilingual corpus as TM and …

The integration of data from statistical machine translation into translation memory suites
(giving a range of TM/MT technologies) can be expected to replace fully human translation …

Fusing theory with advice and information about the practicalities of translating, Becoming a
Translator is the essential resource for novice and practicing translators. The book explains …

How do translation companies, multilingual international organizations and individual
translators measure and improve the quality of their translations? This book reports on the …

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 …

Machine-translated segments are increasingly included as fuzzy matches within the
translation-memory systems in the localisation workflow. This study presents preliminary …

This article reviews research on the mental translation processes involved in translation
memory-assisted translation. First, based on recent developments in cognitive science the …

Retrieval-augmented Neural Machine Translation models have been successful in many
translation scenarios. Different from previous works that make use of mutually similar but …