Translation competence and collocation knowledge: Do congruency and word type have an effect on the accuracy of collocations in translation?

Sonbul, Suhad; El‐Dakhs, Dina Abdel Salam; Alotaibi, Hind

doi:10.1080/1750399x.2022.2084251

Cited by 5 publications

(17 citation statements)

References 36 publications

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“…This result matches the findings in L2 research that congruency influences the learning and processing of collocations (Ding & Reynolds, 2019;Sonbul & El-Dakhs, 2020;Wolter & Gyllstad, 2011). The result also matches with the finding of Sonbul et al (2022) that congruency behaved in the same manner. This finding comes in line with Baker's (2018) prediction that collocations can become problematic to translate where the SL and the TL lexical patterning differs, as is the case in incongruent collocations.…”

Section: Discussionsupporting

confidence: 90%

“…The Regarding RQ1, we expect to find an effect of directionality on the translation of collocations (with more natural collocations in the L2-L1 direction) based on the third prediction of Jiang's (2000) model and based on the limited SLA evidence from Laufer and Girsai (2008) and Webb et al (2013). Moving now to congruency (RQ2), and in line with predictions of Baker's (2018) and Jiang's (2000) models, we predict more congruent collocations to be naturally rendered than incongruent ones (see Sonbul et al, 2022). For the effect of transparency (RQ3) and based on evidence from Gyllstad and Wolter (2016), we predict higher probability of transparent collocations to be naturally rendered than opaque ones.…”

Section: The Present Studysupporting

confidence: 80%

“…Empirical research on factors that determine the natural rendering of collocations in translation from and into the native language is scarce. One notable exception is Sonbul et al (2022) who showed that congruency and level of knowledge contribute to the rendering of natural collocations in an L2-L1 translation task, but the study did not consider the effect of transparency and task direction. The present study extends on Sonbul et al (2022) findings by examining the effect of direction (RQ1), congruency (RQ2), semantic transparency (RQ3), and estimated proficiency (RQ4) on the rendition of natural collocations in a translation task.…”

Section: Discussionmentioning

confidence: 99%

“…(2022) showed a clear influence of congruency on the translation of collocations by translation trainees. To complement Sonbul et al's (2022) findings, the current study will address four variables: congruency, proficiency, semantic transparency, and directionality. Findings on these variables from L2 research will be reviewed in the following section.…”

Section: Studies On Collocation Translationmentioning

confidence: 99%

“…More recently, researchers started to pay attention to the factors that influence the translation of collocations. An important study in this direction is Sonbul et al (2022) who showed a clear influence for congruency and form recall knowledge on rendering acceptable collocations in an L2-L1 (English-Arabic) translation task. However, the study did not consider the effect of task direction (from or to the native language) and transparency on the translation of collocations.…”

Section: Introductionmentioning

confidence: 99%

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Rendering natural collocations in a translation task: The effect of direction, congruency, semantic transparency, and proficiency

Sonbul

El‐Dakhs

Alharbi

2023

Int J App Linguistics

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Second language (L2) research has extensively examined various factors that might influence the processing and learning of collocations, including congruency, semantic transparency, L2 proficiency, and (to a limited extent) directionality. However, research examining the effect of these factors on the natural rendering of collocations by translation trainees is scarce. The present study aims to apply the factors identified in L2 research in a natural translation context. The aim is to examine whether such factors may influence rendering collocations naturally from the source language to the target language. Ninety‐two Arabic–English translator trainees took part in the study. They translated short equivalent passages containing 40 collocations in both directions (Arabic—English and English—Arabic). A mixed‐effects model was fit to examine factors that may predict the production of a natural collocation: translation direction, L1 congruency, semantic transparency, and proficiency. Results showed no differences between the production of natural collocations to and from the native language. However, there was a significant effect of congruency and semantic transparency; congruent collocations and collocations that had a transparent meaning were more likely to be rendered naturally. Moreover, estimated proficiency level in English modulated congruency effects in that the difference between congruent and incongruent items declined as estimated proficiency increased. Results of the present study suggest that second language models and translation models should incorporate semantic transparency of collocations. Moreover, the results imply that collocations and their properties should be explicitly taught in translation classrooms.

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Section: Discussionsupporting

confidence: 90%

Section: The Present Studysupporting

confidence: 80%

Section: Discussionmentioning

confidence: 99%

Section: Studies On Collocation Translationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Rendering natural collocations in a translation task: The effect of direction, congruency, semantic transparency, and proficiency

Sonbul

El‐Dakhs

Alharbi

2023

Int J App Linguistics

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Redefining English language teaching in translator training through corpus-based tasks

Hernández

2023

Benjamins Translation Library

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Given that professional translators utilise English as a tool to attain a professional goal, English language teaching for translator training should be considered as a variety of English for specific purposes. This chapter discusses the bi/multicultural approach to language instruction, as well as the use of corpus-based activities, are discussed in this chapter as ways to improve English courses for translator training and to fulfil the growing need for translations into an L2. Bilingual sub-competence will be investigated within the framework of the specific needs of translation trainees and the application of current teaching methodologies. The potential of lexical and grammar aims specific to English for translator training will also be determined. Finally, as a means of achieving these goals, practical examples of corpus-based activities will be introduced.

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How do students engage with parallel corpora in translation? A multiple case study approach

Liu,

Su,

Lai

et al. 2024

Int J App Linguistics

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While emerging research has contributed significantly to our understanding of the efficacy of parallel corpora in translation education, specifically concerning student performance and perception, however, there remains a noticeable gap in the literature regarding the examination of student engagement with parallel corpora during the translation process. To address this research gap, the present study seeks to comprehensively analyse the behavioural, cognitive, and affective engagement of three MA students when utilizing parallel corpora in Chinese–English translation tasks. A multiple case study design was implemented, drawing upon a diverse range of data sources, including screencasts capturing students’ translation processes, the resultant translation outputs, corpus search logs, and in‐depth interviews. The findings of this investigation reveal distinct engagement patterns exhibited by individual students and underscore the intricate interplay of these three dimensions of engagement. Furthermore, student engagement with the parallel corpus significantly influences their translation performance. This research also unveils various factors that impact student engagement patterns, including the perceived affordances of the parallel corpus, students’ self‐perception, and learning motivation.

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Translation competence and collocation knowledge: Do congruency and word type have an effect on the accuracy of collocations in translation?

Cited by 5 publications

References 36 publications

Rendering natural collocations in a translation task: The effect of direction, congruency, semantic transparency, and proficiency

Rendering natural collocations in a translation task: The effect of direction, congruency, semantic transparency, and proficiency

Redefining English language teaching in translator training through corpus-based tasks

How do students engage with parallel corpora in translation? A multiple case study approach

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