Situated Translators: Cognitive Load and the Role of Emotions

Heeb, Andrea Hunziker; Lehr, Caroline; Ehrensberger‐Dow, Maureen

doi:10.1007/978-981-16-2070-6_3

Cited by 5 publications

(4 citation statements)

References 62 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Additionally, when IMMERSION MONTHS surpassed 27 and PRACTICING MONTHS lasted longer than 120, the machine learning model predicted that the participant was conducting L2 translation, with her/his START PUPIL above 5.88 as well as AVERAGE PUPIL under 5.44. This suggests that their work experience as a professional translator to a certain extent had an effect on cognitive loading (see, e.g., Hunziker Heeb, 2020 ); in other words, those with more work professional experience found L2 translation less cognitively demanding, compared to the other participants with fewer months working as professional translators (see Neubert, 2000 ; Whyatt, 2018 ).…”

Section: Discussionmentioning

confidence: 99%

Translation directionality and the Inhibitory Control Model: a machine learning approach to an eye-tracking study

Chang

Chen

2023

Front. Psychol.

View full text Add to dashboard Cite

IntroductionBased on such physiological data as pupillometry collected in an eye-tracking experiment, the study has further confirmed the effect of directionality on cognitive loads during L1 and L2 textual translations by novice translators, a phenomenon called “translation asymmetry” suggested by the Inhibitory Control Model, while revealing that machine learning-based approaches can be usefully applied to the field of Cognitive Translation and Interpreting Studies.MethodsDirectionality was the only factor guiding the eye-tracking experiment where 14 novice translators with the language combination of Chinese and English were recruited to conduct L1 and L2 translations while their pupillometry were recorded. They also filled out a Language and Translation Questionnaire with which categorical data on their demographics were obtained.ResultsA nonparametric related-samples Wilcoxon signed rank test on pupillometry verified the effect of directionality, suggested by the model, during bilateral translations, verifying “translation asymmetry” at a textual level. Further, using the pupillometric data, together with the categorical information, the XGBoost machine-learning algorithm yielded a model that could reliably and effectively predict translation directions.ConclusionThe study has shown that translation asymmetry suggested by the model was valid at a textual level, and that machine learning-based approaches can be gainfully applied to Cognitive Translation and Interpreting Studies.

show abstract

Section: Discussionmentioning

confidence: 99%

Translation directionality and the Inhibitory Control Model: a machine learning approach to an eye-tracking study

Chang

Chen

2023

Front. Psychol.

View full text Add to dashboard Cite

show abstract

“…Perplexity and entropy may be used as a product indicator, but their use as a proxy of what is going on in the translator's mind is troublesome, as it depicts the translation process as if someone was ordering at a restaurant by looking at a menu: all options are there, active, and the translator only needs to choose the more appropriate one. This brings us back to the differentiation between cognitive load and effort (Hunziker Heeb et al, 2021). If cognitive load is associated with the source text (among others), literality, and more specifically, word order and syntactic differences, may play a relevant role in the translation process.…”

Section: Discussionmentioning

confidence: 99%

Traducción literal vs. traducción por defecto. Un desafío para los dos constructos mediante la traducción del egipcio clásico como caso extremo

Olalla Soler

2023

sendebar

View full text Add to dashboard Cite

This paper presents the results of a study that compares the constructs of literal translation (Schaeffer & Carl, 2014) and default translation (Halverson, 2019) by means of an observational, exploratory study with Middle Egyptian translation as an extreme case in point. Two MA students in Egyptology at Universitat Autònoma de Barcelona and three recent graduates of the same MA programme took part in the study. They translated two excerpts from two Middle Egyptian literary texts into Spanish. InputLog was used to collect translation-process data and derive word-level indicators of cognitive effort from them: typos per word, word typing speed, and within-word pause. Results showed a clear link between default translations and cognitive effort (low number of typos, low number of respites, and fast writing speed). However, the assumption that deviations from literality cause greater cognitive effort was not observed. Hence, default translation may serve as a more adequate construct to describe the regular way translators perform.

show abstract

“…It means that translators who inhibit expressing their negative emotions and inhibit their emotional states are more likely to have a qualified translation. Hunziker Heeb et al (2021) found the significant effect of translators’ emotion regulation on decreasing the cognitive load of translation. They argued that translators’ positive and negative emotional states have large amounts of cognitive load during task performance, and regulating translators’ emotions can inhibit them from producing translations with poor quality.…”

Section: Review Of Literaturementioning

confidence: 94%

“…Numerous translation researchers have recently approved the significance of translators’ emotions for investigating translation development and have begun to inspect the influence of emotion on translators’ performance (e.g., Hubscher-Davidson, 2018 ; Lehr, 2020 ; Hunziker Heeb et al, 2021 ). The statement that decision-making in translation is not simply the outcome of pure rational thought motivates investigators to explore the effect of psychological states on the translation process ( Hubscher-Davidson and Lehr, 2021 ).…”

Section: Review Of Literaturementioning

confidence: 99%

Exploring the role of translators’ emotion regulation and critical thinking ability in translation performance

Shu-fang

2022

Front. Psychol.

View full text Add to dashboard Cite

In recent years, the field of psychology has received more attention from researchers that work in the area of translation studies. This review set out to delve into the role of translation students’ critical thinking, as a construct of cognitive psychology, and emotion regulation, as a positive psychological construct, in translation performance. The positive and significant relationship between translation students’ critical thinking skill and their translation performance has been verified in the literature. Moreover, studies have revealed that emotion regulation and its regulator components, such as emotional intelligence, intuition, resilience, and professional expertise can significantly influence translation performance. This review can be beneficial for translation trainees, translation trainers, and curriculum designers to raise their awareness about the role of critical thinking and emotion regulation in translation studies.

show abstract

Situated Translators: Cognitive Load and the Role of Emotions

Cited by 5 publications

References 62 publications

Translation directionality and the Inhibitory Control Model: a machine learning approach to an eye-tracking study

Translation directionality and the Inhibitory Control Model: a machine learning approach to an eye-tracking study

Traducción literal vs. traducción por defecto. Un desafío para los dos constructos mediante la traducción del egipcio clásico como caso extremo

Exploring the role of translators’ emotion regulation and critical thinking ability in translation performance

Contact Info

Product

Resources

About