Dr. James Hadley

James Hadley studied a dual degree of Japanese and computing as his undergraduate. He then went on to study a master's degree in Buddhist Studies before moving on to a second master's degree in translation studies. In 2013, he completed his PhD in translation studies with a thesis challenging the hegemony of a small number of translation theories and cultural contexts in translation studies research outputs. After completing his PhD, James moved to China, where he taught and continued researching translation studies. He then became the translation studies researcher for the University of London's School of Advanced Study before moving to Dublin to take up his current post.

  Asian Languages/Literature   Asian Religions   Chinese Language/Literature   Creative Arts   English Language/Literature   European History   History of Philosophy   Japanese history of the Tokugawa period   Japanese Language/Literature   Language and/or Literature, Medieval   Language and/or Literature, Modern   Language and/or Literature, Non-Fiction   Language and/or Literature, Renaissance   Language and/or Literature, Translation   Language and/or Literature, Victorian   Linguistic analyses of contemporary literature   Linguistics   Literature and cultural history of the Enlightenment   Medieval Europe   Non-Western History   Sociolinguistics   Translation   Translation studies

James' research interests are extremely broad and cover everything from the history surrounding early-modern translators between Japanese and Dutch to Digital Humanities approaches to the analysis of lexis in indirect translations (translations of translations). He is currently devoting most of his energies to systematising the study of indirect translations using a range of Digital Humanities methodologies. At the same time, James is emerging as one of the key voices in the rapidly developing sub-field(s) of Literary Machine Translation (LMT) and Computer Assisted Literary Translation (CALT). Both focus on using computers in the production of literary texts in translation. However, where LMT focuses on the challenges associated with computers translating the texts by themselves, CALT focuses on the creation of computer-based tools which can assist human literary translators to work as efficiently as possible and/or as creatively as possible.