A Corpus-Based Study of the Linguistic Errors Committed by the Iranian EFL Learners in English Translation of MA Research Abstracts of Educational Management Based on Liao’s (2010) Model
Author(s) -
Bahar Pourshahian
Publication year - 2021
Publication title -
education research international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.29
H-Index - 5
eISSN - 2090-4002
pISSN - 2090-4010
DOI - 10.1155/2021/9303139
Subject(s) - linguistics , literal translation , punctuation , mistake , computer science , natural language processing , syntax , field (mathematics) , repetition (rhetorical device) , psychology , artificial intelligence , source text , mathematics , political science , philosophy , pure mathematics , law
Given the importance and the precision required in the translation of research abstracts, this descriptive quantitative research made an attempt to investigate the analysis of the type and frequency of the linguistic errors occurring in the English translations of 40 academic MA research abstracts in the field of educational management. To this end, 40 academic MA thesis abstracts in the field of educational management from 2009 to 2019 were gathered from Shiraz Azad University through the saturation method. Then, the errors were categorized based on the classification of error types adapted from Liao’s model (2010). The results of the study revealed that based on Liao’s categorization (2010), the frequencies of possible linguistic errors by educational management include grammatical mistake or ungrammatical syntax of target language (F = 190), excessive literal translation, which leads to ambiguous translation (F = 30), awkward expression, including ambiguous meaning, mismatch, redundant words, and unnecessary repetition, (F = 29), incorrect character, improper punctuation marks, or inconsistency in term translation (F = 26), excessive free translation, which differentiates the translation from the original text (F = 6), and inappropriate register (F = 6).
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