Computational linguistics and translation studies
Methods and models
Translation process research is an active interdisciplinary research area within
translation studies attracting translation scholars, computer scientists and the
machine learning community alike. Novel data acquisition methods have been
developed in recent years leading to large sets of translation process data that
is analysed qualitatively as well as quantitatively. What has been anticipated
already decades ago, today, computational linguistics methods are instrumental
for translation process research and translation studies to enhance machine
translation technologies by analysing real human behaviour. Empirical translation
process research thus becomes more formalized and interconnected with
computational linguistics methods and may potentially give answers to questions
raised long time ago. In this chapter we trace the development of computational
linguistics and translation process research from this angle and point to
developments that we think will further drive this vibrant field of research.
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Cited by
Cited by 2 other publications
Mellinger, Christopher D.
2022.
Quantitative questions on big data in translation studies.
Meta 67:1
► pp. 217 ff.
Taivalkoski-Shilov, Kristiina
2019.
Ethical issues regarding machine(-assisted) translation of literary texts.
Perspectives 27:5
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