Modeling Predictors of Accuracy in Web-Translated Newspaper Stories

Simple item page
dc.contributor.authorIfeduba, Emmanuel
dc.date.accessioned2022-10-10T11:45:40Z
dc.date.available2022-10-10T11:45:40Z
dc.date.issued2022
dc.description.abstractRecently, newspapers published in Africa began to adopt web translation applications to make their businesses more competitive. However, studies indicate that web translations of even major languages are often inaccurate and generally gloss over how this affects African languages. And the predictors of translation inaccuracy seem to be inadequately interrogated. This study, therefore, investigates the extent to which Google Translate accurately translates English to eight African languages and the relationship between translation accuracy and perceived journalistic errors, orthography, and technological limitations of the translating machine. Through document analysis of six newspaper stories, the study ascertained that the meaning of over 45% of the text was either lost or unclear. Statistical analysis shows that perceived journalistic errors, inadequate orthography, and technological limitations significantly predict translation inaccuracy, suggesting that improvement in these variables would improve the accuracy of web-translated news.en_US
dc.identifier.issnDOI:10.4018/IJTIAL.304074
dc.identifier.urihttp://dspace.run.edu.ng:8080/jspui/handle/123456789/3677
dc.language.isoenen_US
dc.publisherInternational Journal of Translation, Interpretation, and Applied Linguisticsen_US
dc.relation.ispartofseriesVol 4 Issue 1;
dc.subjectAfrican Languagesen_US
dc.subjectGoogle Translateen_US
dc.subjectJournalistic Erroren_US
dc.subjectOrthographyen_US
dc.subjectTechnological Innovationen_US
dc.subjectWeb Translationen_US
dc.titleModeling Predictors of Accuracy in Web-Translated Newspaper Storiesen_US
dc.typeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Modeling-Predictors-of-Accuracy-in-Web-Translated-Newspaper-Stories.pdf
Size:
463.01 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Department of Mass Communication