Generative Pre-trained Transformer (GPT) models have shown remarkable capabilities for
natural language generation, but their performance for machine translation has not been …

Artificial intelligence is changing and will continue to change the world we live in. These
changes are also influencing the translation market. Machine translation (MT) systems …

The Handbook of Translation and Cognition is a pioneering, state-of-the-art investigation of
cognitive approaches to translation and interpreting studies (TIS). Offers timely and cutting …

With a strong focus on interdisciplinarity, the handbook surveys concepts and methods in
neighbouring disciplines that are concerned with cognition and how they relate to …

Cognitive approaches to translation and interpreting may be considered the oldest empirical
research area of modern translation studies (TS). This chapter argues that what is …

Translation process research (TPR) is a branch of translation studies (TS) that works within a
behavioral‐cognitive experimental methodological paradigm, where essential data about …

Large Language Models (LLMs) such as GPT-3 have emerged as general-purpose
language models capable of addressing many natural language generation or …

Translation and post-editing can often be categorised as problem-solving activities. When
the translation of a source text unit is not immediately obvious to the translator, or in other …

This chapter reviews research on bilingualism and multilingualism discussing working
memory, the multilingual lexicon, language control and lexical selection, and the cognitive …

The current reintroduction of the concept of 'literal translation'is an important development for
two main reasons. Firstly, it has led to a range of intriguing empirical findings. Secondly, this …