Components of Translation Competence: A Job Task Analysis

Authors

  • Farzaneh Farahzad Allameh Tabataba’i University
  • Mohsen Jazeb Allameh Tabataba’i University

Keywords:

Translator training, Job task analysis, Translation competence

Abstract

Translator training programs—whether at universities or higher education institutes—have been mushrooming in Iran. The avowed objective of these programs is to prepare trainee translators for the competitive market. This article attempts to identify sub-competences of Translation Competence. To this aim, a job task analysis is conducted. First, a 12-member focus group are asked to set forth all a translator need to function competently—this involves filling out a 3-question survey followed by online interviews which have been recorded. Then, based on the data from the survey, a 50-item questionnaire is developed and distributed among professional translators to rate the items in terms of their importance. Finally, the results are discussed and compared with the PACTE’s Translation Competence model. The results of the study show four categories of Knowledge, Skills, Abilities and Attributes, the majority of which are considered necessary for the success of a translator. Also, there is a significant correlation between the results of the present study and PACTE’s Translation Competence model.

Author Biographies

Farzaneh Farahzad , Allameh Tabataba’i University

Professor, Department of English Translation Studies, Faculty of Persian Literature and Foreign Languages, Allameh Tabataba’i University, Tehran, Iran;

Mohsen Jazeb, Allameh Tabataba’i University

Ph.D. Candidate, Department of English Translation Studies, Faculty of Persian Literature and Foreign Languages, Allameh Tabataba’i University, Tehran, Iran;

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Published

2021-10-03

How to Cite

Farahzad , F. ., & Jazeb, M. (2021). Components of Translation Competence: A Job Task Analysis. Translation Studies Quarterly, 19(75), 77–95. https://dorl.org/dor/20.1001.1.17350212.1400.19.3.6.2

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Section

Scientific Research Paper

DOR