Advances in Natural Language Processing (NLP) over the past decade have largely been driven by the scale of data and computation used to train large neural network-based models. However, these techniques are inapplicable to the vast majority of the world's languages, which lack the vast digitized text datasets available for English and a few other…

In order to translate and be translated, low-diffusion languages often use strategies that differ from those used by widely spoken languages and therefore create particular challenges for translators. One such strategy is indirect translation (including also relay interpreting). Since there are conflicting opinions about this practice within the…

The study focuses on literary translation between languages of low diffusion (LLD) from the perspective of a culture using such a language. The position of a language group in the world translation system determines the general flow of literary translation, but the specifics for the translation of an individual LLD may depend on a number of…