Correction to: Differential Impacts of Pair and Self-Dynamics on Written Languaging Attributes and Translation Task Performance in EFL Context

Keshanchi, Elnaz; Pourdana, Natasha; Khalili, Gholamhassan Famil

doi:10.1007/s42321-022-00117-6

Cited by 2 publications

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“…By adopting Nord's functional approach, SLA researchers responded to the L2 practitioners' growing interest in translation tasks while recommending the translation of "carefully selected, authentic texts with a clear context and purpose" (Károly, 2014, p. 90). As a result, the dynamic code-switching strategies in translation tasks can have the potential to draw the L2 learners' focus on form, make a decision, foster self and collective scaffolding, and externalize their metatalk through languaging (Kazemi et al, 2022;Keshanchi et al, 2022;Rodrick Beiler & Dewilde, 2020).…”

Section: Translation As a Form-focused Writing Taskmentioning

confidence: 99%

“…By the same token, Suzuki and Itagaki (2009) speculated that the attributes of | Research Papers written languaging episodes are highly task-dependent. In other words, the quality and quantity of WL episodes can notably change while L2 learners perform different types of writing tasks with comprehension-based (e.g., error-recognition) and/or production-based (e.g., gap-filling) output orientation (Keshanchi et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

“…Despite the growing interest of second language acquisition (SLA) researchers in the constructive role of languaging in L2 learning, they have more focused on the attributes of oral languaging (Ammar & Hassan, 2018;Azkarai & Kopinska, 2020;Heidari et al, 2019;Lavasani et al, 2021) with less interest in languaging in written modality (Yilmaz, 2016). Moreover, SLA researchers narrowed their scope to study the languaging production on content-focused writing tasks such as picture description or data commentary (Kazemi et al, 2022;Falhasiri, 2021;Pourdana & Asghari, 2021), with minimal attention to form-focused writing tasks such as translation (Keshanchi et al, 2022). Similarly, adopting an output-oriented approach to WL on production-based tasks or comprehension-based tasks has been the subject of scrutiny in only a few studies (Pourdana et al, 2012;Storch, 2013;Suzuki & Itagaki, 2009;Zhang, 2021), with scant attempts to cross-examine the impact of WL on writing tasks performance with production-based and comprehension-based output orientation.…”

Section: Introductionmentioning

confidence: 99%

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An Output-oriented Approach to the Impact of Online Written Languaging on Form-Focused Writing Tasks

Pourdana

2023

JLE

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Background. Despite the growing interest of second language acquisition (SLA) researchers in the languaging process, a few studies have been done on its dynamic attributes in various writing tasks. Purpose. This study investigated how online written languaging (WL) might impact English-as-a-Foreign-Language (EFL) learners’ performance on form-focused writing tasks with production-based and comprehension-based output orientation in Google Docs, and how the output orientation of form-focused writing tasks could determine the WL attributes of quantity and focus. Methods. To do so, 112 Iranian EFL university students were selected and assigned to four parallel groups. In an eight-week experiment, two groups worked on gap-filling tasks (production-based) and two groups on error-identification tasks (comprehension-based) in parallel ±WL conditions. Results. Statistical analysis indicated a significant interaction between task output orientation and WL production. So, on both production-based and comprehension-based tasks, the +WL groups outperformed the ˗WL groups. Moreover, in the +WL condition, the task output orientation determined the quantity of WL episodes, but not their focus on grammar (G-WL) and lexis (L-WL) in production-based and comprehension-based tasks. As such, the +WL group who completed the production-based tasks produced much more WL episodes than the +WL group who completed the comprehension-based tasks. Yet, both groups equally produced more L-WL episodes than G-WL episodes. Сonclusion. The study had several implications for language teachers to maximize learning opportunities by teaching how to language in various writing tasks on online platforms. The L2 teachers are also recommended to adopt an alternative approach to translation as a form-focused writing task.

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Section: Translation As a Form-focused Writing Taskmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An Output-oriented Approach to the Impact of Online Written Languaging on Form-Focused Writing Tasks

Pourdana

2023

JLE

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The Development Strategy of the Multimedia Fusion Mode of Big Data Technology in Japanese Translation Teaching

Qian

2022

Advances in Multimedia

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With the in-depth development of economic globalization, the connection and communication between China and other countries in the world are increasingly deepened, so the task of cultivating translation talents in various languages is particularly important. In the teaching process, teachers mainly focus on explaining theoretical knowledge and lack of classroom interaction, resulting in a boring and dull classroom atmosphere. At the same time, it does not pay attention to the practice of translation after class and often pays attention to interpretation and neglects written translation, which leads many students to think that Japanese translation is difficult and boring, which greatly reduces students’ enthusiasm for learning. In view of this situation, the application of multimedia technology in Japanese translation teaching proposes that the application of multimedia technology in Japanese teaching can improve the interest of students in Japanese learning and improve the teaching effect of Japanese teaching. Firstly, this paper constructs a logistic semantic ontology model based on automatic calibration of Japanese translation, extracts Japanese semantic features through this model, and performs relational mapping on the extracted Japanese semantic features. Starting from each aspect, optimize the automatic calibration algorithm of Japanese translation, find the best semantic relevance feature in each sentence, and realize automatic optimization, thereby improving the automatic calibration of Japanese translation machines and the registration of subject words.

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Correction to: Differential Impacts of Pair and Self-Dynamics on Written Languaging Attributes and Translation Task Performance in EFL Context

Cited by 2 publications

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An Output-oriented Approach to the Impact of Online Written Languaging on Form-Focused Writing Tasks

An Output-oriented Approach to the Impact of Online Written Languaging on Form-Focused Writing Tasks

The Development Strategy of the Multimedia Fusion Mode of Big Data Technology in Japanese Translation Teaching

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