Validation of Automated Scores of Human Translation of Legal Texts against Non-test Indicators of Translation Competence

Authors

  • Somayyeh Karami University of Isfahan
  • Dariush Nejadansari University of Isfahan
  • Akbar Hesabi University of Isfahan

Keywords:

Automated scoring, translation evaluation, validity, lexical ATQEUMs

Abstract

This study tries to explore the validity of lexical Automated Translation Quality Evaluation Understudy Metrics (ATQEUM) in scoring Certified Translator Accreditation Tests in Islamic Republic of Iran as an instance of legal texts. This is conducted against non-test indicators of translation competence, including the participants records of their scores in “The Translation of Documents and Deeds I and II” courses, their average score of all courses of practical translation nature, and their BA GPA score in Translation Studies Major. Although, they have not revealed a significant correlation with the nontest indicators of translation competence, they have had a highly significant correlation with the scores granted by human expert scorers on the two sample tests. Therefore, according to all the data collected and analyzed, it has ultimately been concluded that a collection of “-PER, -TERp-A, BLUE-1, NIST-1, ROUGE-1, GTM-1” lexical ATQEUMs (including all various lexical similarity-based techniques of edit distance, precision, recall, and F-measure) can be considered as the optimal translation meta-evaluation set to score certified translator accreditation tests.

Author Biographies

Somayyeh Karami, University of Isfahan

PhD Candidate in Translation at the University of Isfahan, Isfahan, Iran;

Dariush Nejadansari, University of Isfahan

Faculty Member of English Language and Literature Department, University of Isfahan

Akbar Hesabi, University of Isfahan

Faculty Member of English Language and Literature Department, University of Isfahan

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Published

2020-06-24

How to Cite

Karami, S., Nejadansari, D., & Hesabi, A. (2020). Validation of Automated Scores of Human Translation of Legal Texts against Non-test Indicators of Translation Competence. Translation Studies Quarterly, 17(68), 57-76. Retrieved from https://journal.translationstudies.ir/ts/article/view/755

Issue

Section

Scientific Articles