Machine translation (MT), especially Google Translate (GT), is widely used by language learners and those who need help with translation. MT research, particularly that which examines the quality and usability of the translation produced by the MT, only makes up a handful of studies. Moreover, only a few of them have looked at translation quality…

Although a reader's text-level comprehension is affected by the comprehension of individual sentences in a text, little attention has been paid to the difficulty of sentences. This study investigates whether measures (features) of text difficulty affect the "gradience" observed in sentence difficulty judgments. We examine two traditional…

In this study, a corpus of expert-graded essays, based on a standardized scoring rubric, is computationally evaluated so as to distinguish the differences between those essays that were rated as high and those rated as low. The automated tool, Coh-Metrix, is used to examine the degree to which high- and low-proficiency essays can be predicted by…

A prevalent assumption in text comprehension research is that many aspects of text processing are automatic, with automaticity typically defined in terms of properties (e.g., speed and effort). The present research advocates conceptualization of automaticity in terms of underlying mechanisms and evaluates two such accounts, a…