Language Fluency as a Factor in Machine Translation Comprehension

Authors

  • Milam Aiken University of Mississippi, School of Business Administration, University, MS 38677
  • Mina Park Southern Connecticut State University, School of Business, New Haven, CT 06515
  • Tobin Lindblom Western Connecticut State University, Ancell School of Business, Danbury, CT 06810

DOI:

https://doi.org/10.24297/ijct.v10i2.3301

Keywords:

Machine translation, reading comprehension, TOEFL, Maze test

Abstract

Machine translations have been used for nearly 50 years, and although accuracy steadily improves, results do not often attain the standard set for human interpretation. Some people can understand poor translations better than others, but little is known about why this is so.  Here, we show that language fluency was not a major factor in the ability of a human reader to comprehend a passage of text translated by computer, but prior topic knowledge could be.

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Published

2013-08-10

How to Cite

Aiken, M., Park, M., & Lindblom, T. (2013). Language Fluency as a Factor in Machine Translation Comprehension. INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY, 10(2), 1349-1355. https://doi.org/10.24297/ijct.v10i2.3301

Issue

Section

Research Articles