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Quantitative Methods in Corpus-Based Translation Studies: A practical guide to descriptive translation researchEdited by Michael P. Oakes and Meng Ji
[Studies in Corpus Linguistics 51] 2012
► pp. 35–52
Edited by Michael P. Oakes and Meng Ji
[Studies in Corpus Linguistics 51] 2012
► pp. 35–52
Regression analysis in translation studies
This paper provides an overview of how to compute simple binary logistic regressions and linear regressions with the open source programming language R on the basis of data from the INTERSECT corpus of English texts and their French and German translations. First, we show how one of the key statistics of logistic regressions is conceptually similar to the chi-square test of frequency tables. Second, we exemplify different applications of logistic regressions – with a binary predictor, with an interval/ratio-scaled predictor, and with a combination of both. Finally, we briefly exemplify a linear regression. In all cases, we discuss significance tests and provide examples for effective visualizations.
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Cited by 7 other publications
Arnold, Taylor, Nicolas Ballier, Paula Lissón & Lauren Tilton
2019. Beyond lexical frequencies: using R for text analysis in the digital humanities. Language Resources and Evaluation 53:4 ► pp. 707 ff. 
Atabekova, Anastasia, Valentina Stepanova, Natalia Udina, Olga Gorbatenko & Tatyana Shoustikova
2017. Should Math Tools and Quantitative Methods be Part of University-based Translator and Interpreter’s Training? Russian Graduates’ Voices in the Focus. EURASIA Journal of Mathematics, Science and Technology Education 13:8
Cipriani, Anna Maria
2023. Empirical Results. In Literary Digital Stylistics in Translation Studies [New Frontiers in Translation Studies, ], ► pp. 93 ff.
Ebeling, Jarle & Signe O. Ebeling
2018. Comparing n-gram-based functional categories in original versus translated texts. Corpora 13:3 ► pp. 347 ff.
Kvam, Sigmund
2014. Text linguistics and the translation brief: on the relevance of conversation analysis as an operational tool in a pragmatic text linguistic approach to translation. Perspectives 22:1 ► pp. 21 ff.
Th Gries, Stefan
2020. On classification trees and random forests in corpus linguistics: Some words of caution and suggestions for improvement. Corpus Linguistics and Linguistic Theory 16:3 ► pp. 617 ff.
Wintner, Shuly
2017. Computational Approaches to Translation Studies. In Business Intelligence [Lecture Notes in Business Information Processing, 280], ► pp. 38 ff.
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