Home > Explore Content > All Issues > Article View
Log-linear Regression Analysis of Interpreted Sentences: With focus on Korean-to-English consecutive interpretation
The Journal of Translation Studies
Abbr :
JTS
2012, 13(4), pp.81-104
DOI : 10.15749/jts.2012.13.4.004
Publisher : The Korean Association for Translation Studies
Research Area : Interpretation and Translation Studies
2012, 13(4), pp.81-104
DOI : 10.15749/jts.2012.13.4.004
Publisher : The Korean Association for Translation Studies
Research Area : Interpretation and Translation Studies
-
This paper uses log-linear regression analysis to investigate whether there are any statistically significant interaction effects among the four selected categorical variables in Korean-to-English consecutive interpretation: S=Subject (student or interpreter); O=Overseas experience (less than two years or more than two years in majority English-speaking countries); L=Level of original text (easy or difficult); and T=Type of sentences (simple, complex, compound, or compound-complex). The present study also examines the uttered sentences by applying various readability indexes, such as the Flesch-Kincaid grade level, Gunning Fog, and Dale-Chall formula, to explore the complexity of the produced speeches. Our log-linear analysis demonstrates with statistical significance that the observed ratio of simple to complex sentences differs between students who have lived more than two years in majority English-speaking countries and those who have not. Furthermore, it is shown that such difference based on overseas experience does not exist among professional interpreters.
117 Viewed
Print this page
Download PDF