6533b7d7fe1ef96bd1268d86

RESEARCH PRODUCT

Outline for a Relevance Theoretical Model of Machine Translation Post-editing

Moritz SchaefferMichael Carl

subject

Machine translationPoint (typography)business.industryComputer scienceProcess (engineering)Cognitioncomputer.software_genreTranslation (geometry)Relevance (information retrieval)Target textArtificial intelligenceState (computer science)businesscomputerNatural language processing

description

Translation process research (TPR) has advanced in the recent years to a state which allows us to study “in great detail what source and target text units are being processed, at a given point in time, to investigate what steps are involved in this process, what segments are read and aligned and how this whole process is monitored” (Alves 2015, p. 32). We have sophisticated statistical methods and with the powerful tools to produce a better and more detailed understanding of the underlying cognitive processes that are involved in translation. Following Jakobsen (2011), who suspects that we may soon be in a situation which allows us to develop a computational model of human translation, Alves (2015) calls for a “clearer affiliation between TPR studies and a particular cognitive sciences paradigm” (p. 23).

https://doi.org/10.1007/978-981-13-1984-6_3