Teaching Written Translation Online: Theoretical Model, Software Development, Interim Results

Gorozhanov, A. I.; Косиченко, Е. Ф.; Guseynova, Innara

doi:10.1051/shsconf/20185001062

Cited by 13 publications

(13 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Translation requires a high degree of mental concentration, allowing us to view the activity as one of mental stimulation. In practical teaching settings, Gorozhanov et al (2018) explain how the trust between an online translation teacher and the student is dependent upon an understanding of the teacher as an expert providing correct suggestions about one’s cognitive processes and work. Specifically, the teacher must command a strong vocabulary in the source and the target language.…”

Section: Literature Reviewmentioning

confidence: 99%

Self-Efficacy in the Prediction of GPA and Academic Computer Use in Undergraduate Translation Students at a Saudi University

Brashi

2022

Front. Psychol.

View full text Add to dashboard Cite

Since the beginning of the COVID-19 pandemic, academic institutions have faced the challenge of understanding the social-psychological features that produce better academic performance among translation students in an online learning environment. Although self-efficacy is widely studied in a variety of teaching and learning models, few studies have examined self-efficacy in regard to translation students. This empirical study aims to examine the roles of general self-efficacy and computer self-efficacy in terms of the academic achievement and computer use of translation students during the COVID-19 pandemic. The participants included 83 undergraduate translation students at the English Language Department of Umm Al-Qura University, Saudi Arabia. They completed the General Self-Efficacy Scale and Computer Self-Efficacy Scale questionnaires. The results found self-efficacy scores were a significant predictor of overall GPA scores, highly predictive of computer self-efficacy, and also predicted an increased typing frequency and computer usage. This study suggests that translation students with greater levels of self-efficacy will be more likely to possess social-psychological features that align with the independent, self-directed nature of online learning environments.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Self-Efficacy in the Prediction of GPA and Academic Computer Use in Undergraduate Translation Students at a Saudi University

Brashi

2022

Front. Psychol.

View full text Add to dashboard Cite

show abstract

“…However, translation studies education also requires special training in translation. As Gorozhanov, Kosichenko & Guseynova (2018) set out, there are three basic principles of online translator training, firstly, accepting the teacher as an expert in the field, secondly, accepting the teacher as a mediator between the students and the online environment, and thirdly, the accessibility of communication channels for regular consultations between the students and the teacher-expert.…”

Section: Literature Reviewmentioning

confidence: 99%

The role of automated evaluation techniques in online professional translator training

Munková

Munk

Benko

et al. 2021

PeerJ Computer Science

View full text Add to dashboard Cite

The rapid technologisation of translation has influenced the translation industry’s direction towards machine translation, post-editing, subtitling services and video content translation. Besides, the pandemic situation associated with COVID-19 has rapidly increased the transfer of business and education to the virtual world. This situation has motivated us not only to look for new approaches to online translator training, which requires a different method than learning foreign languages but in particular to look for new approaches to assess translator performance within online educational environments. Translation quality assessment is a key task, as the concept of quality is closely linked to the concept of optimization. Automatic metrics are very good indicators of quality, but they do not provide sufficient and detailed linguistic information about translations or post-edited machine translations. However, using their residuals, we can identify the segments with the largest distances between the post-edited machine translations and machine translations, which allow us to focus on a more detailed textual analysis of suspicious segments. We introduce a unique online teaching and learning system, which is specifically “tailored” for online translators’ training and subsequently we focus on a new approach to assess translators’ competences using evaluation techniques—the metrics of automatic evaluation and their residuals. We show that the residuals of the metrics of accuracy (BLEU_n) and error rate (PER, WER, TER, CDER, and HTER) for machine translation post-editing are valid for translator assessment. Using the residuals of the metrics of accuracy and error rate, we can identify errors in post-editing (critical, major, and minor) and subsequently utilize them in more detailed linguistic analysis.

show abstract

“…Eine Analyse der Fachliteratur zeigt, dass sowohl Arbeiten relativ junger Wissenschaftler, die noch nicht bekannt geworden sind, als auch grundlegende Arbeiten erfahrener Wis-senschaftler den Fragen der Digitalisierung gewidmet sind (Ryndina, 2019;Bäckermann, 2018;Potapova, Potapov, 2015). In unseren Werken haben wir versucht, die vorhandenen Erfahrungen und Ergebnisse unter Berücksichtigung ihrer praktischen Bedeutung und Durchführbarkeit zu systematisieren, um den Vektor für die Implementierung und Verbreitung von Informations-und Kommunikationstechnologien im geisteswissenschaftlichen Bereich zu bestimmen (Gorozhanov et al, 2018;Gorozhanov, 2019). Im Zusammenhang damit erscheint es uns angebracht, die Entwicklung der theoretischen und angewandten Grundlagenforschung mit ihrer anschließenden Implementierung im virtuellen Raum zu intensivieren.…”

Section: Theoretischer Rahmenunclassified

Corpus Analysis of the Grammatical Categories’ Constituents in Fiction Texts Considering the Linguo-Regional Component

Gorozhanov

Guseynova

2020

Journal of Siberian Federal University. Humanities &Amp; Social Sciences

Self Cite

View full text Add to dashboard Cite

The problem of insufficient development of professional digital tools in the humanities, including linguistics, is posed. The results of a long-term study on the development of specialized software for corpus analysis of a foreign language text, in which the regional component plays an important role, are described. On the example of Franz Kafka’s novel “Das Schloss” the work of three computer programs is demonstrated, including primary text processing, automatized markup of a small special (grammatical) corpus, a combined search for selected constituents of the grammatical categories of certainty / uncertainty, modality, as well as individual grammatical phenomena by markers of the marked up corpus and by regular expressions in case of the not marked up text, considering the regional characteristics of spelling. It is concluded that the maximum effectiveness of research of this kind can be achieved with the active work of an expert with a specially developed software product. Moreover, the expert’s task includes not only professional software management, but also active participation directly in its development. The described analysis model can be used to analyze the categorical spectrum of a foreign language text, as well as to compile didactic materials for teaching foreign languages and translation.

show abstract

Teaching Written Translation Online: Theoretical Model, Software Development, Interim Results

Cited by 13 publications

References 3 publications

Self-Efficacy in the Prediction of GPA and Academic Computer Use in Undergraduate Translation Students at a Saudi University

Self-Efficacy in the Prediction of GPA and Academic Computer Use in Undergraduate Translation Students at a Saudi University

The role of automated evaluation techniques in online professional translator training

Corpus Analysis of the Grammatical Categories’ Constituents in Fiction Texts Considering the Linguo-Regional Component

Contact Info

Product

Resources

About