Explorations in Empirical Translation Process Research

 
 
Springer (Verlag)
  • erschienen am 27. Juli 2021
  • |
  • XXXIX, 412 Seiten
 
E-Book | PDF mit Wasserzeichen-DRM | Systemvoraussetzungen
978-3-030-69777-8 (ISBN)
 

This book assembles fifteen original, interdisciplinary research chapters that explore methodological and conceptual considerations as well as user and usage studies to elucidate the relation between the translation product and translation/post-editing processes. It introduces numerous innovative empirical/data-driven measures as well as novel classification schemes and taxonomies to investigate and quantify the relation between translation quality and translation effort in from-scratch translation, machine translation post-editing and computer-assisted audiovisual translation.

The volume addresses questions in the translation of cognates, neologisms, metaphors, and idioms, as well as figurative and cultural specific expressions. It re-assesses the notion of translation universals and translation literality, elaborates on the definition of translation units and syntactic equivalence, and investigates the impact of translation ambiguity and translation entropy. The results and findings are interpreted in the context of psycho-linguistic models of bilingualism and re-frame empirical translation process research within the context of modern dynamic cognitive theories of the mind. The volume bridges the gap between translation process research and machine translation research. It appeals to students and researchers in the fields.

weitere Ausgaben werden ermittelt

Michael Carl is a Professor at Kent State University/USA and Director of the Center for Research and Innovation in Translation and Translation Technology (CRITT). He has published widely in the fields on machine translation, natural language processing and cognitive translation studies. His current research interest is related to the investigation of human translation processes and interactive machine translation.

Introduction Part 1 Translation segmentation and translation difficulty 1 Michael Carl Micro Units and the First Translational Response Universal 2 Bram Vanroy, Orphée De Clercq, Arda Tezcan, Joke Daems and Lieve Macken Metrics of syntactic equivalence to assess translation difficulty 3 Yuxiang Wei Entropy and eye movement: A micro analysis of information processing in activity units during the translation process 4 Jinjin Chen Translating Chinese Neologisms without Knowledge of Context: An Exploratory Analysis of an Eye-tracking and Key-logging Experiment 5 Michael Carl Translation Norms, Translation Behavior, and Continuous Vector Space Models (2) Part 2 Translation and entropy 6 Michael Carl Information and Entropy Measures of Rendered Literal Translation (15) 7 Haruka Ogawa, Devin Gilbert and Samar Almazroei redBird: Rendering Entropy Data and source-text Background Information into a Rich Discourse on Translation (11) 8 Isabel Lacruz, Haruka Ogawa, Rika Yoshida, Masaru Yamada and Daniel Ruiz Martinez: Using a product metric to identify differential cognitive effort in translation from Japanese to English and Spanish (7) 9 Arndt Heilmann and Carme Bofí Analysing the effects of lexical cognates on translation properties: a multi-variate product and process based approach (14) Part 3 Translation Technology, Quality and Effort 10 Félix Do Carmo Editing actions: a missing link between Translation Process Research and Machine Translation Research (9) 11 Jie Huang and Michael Carl Word-level HTER edits as indicators of cognitive effort in post-editing (1) 12 Cristina Cumbreño and Nora Aranberri: What do you say? Comparison of temporal, technical and cognitive dimension measurements for post-editing effort (8) 13 Anke Tardel Measuring effort in subprocesses of subtitling: The case of post-editing via pivot language. (5) 14 Lucas N Vieira, Xiaochun Zhang, Roy Youdale and Michael Carl Translating science fiction in a CAT tool: post-editing effort and text segmentation (10) 15 Michael Carl Ecological-enactive approach to translation (18)

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