Modeling Predictors of Accuracy in Web-Translated Newspaper Stories

Introduction

The primary aim of web translation services has been to help internet-driven media to disseminate content to a wider audience by removing the language barrier which has been a drawback to massive cross cultural dissemination of information (Hub, 2016). Thus, by virtue of web translation innovations, people from different parts of the world can now read the same content and access the same services and products on websites using multiple language translation services (Manasse, 2017). This, understandably, must be why the number of online translation services has increased tremendously from a handful in 2000 to about thirty in the past ten years. Currently, such services available online include Google Translate, Bing Translator, Translate.com, SDL Free Translation, DeepL Translator and so many other services ((Munday, 2001; Lingo, 2016). Whereas some of the services can only be used for a fee, numerous others are free to readers. A list of twenty-two free online translation services is presented in Table 1.