The constructed responses individuals generate while reading can provide insights into their coherence-building processes. The current study examined how the cohesion of constructed responses relates to performance on an integrated writing task. Participants (N = 95) completed a multiple document reading task wherein they were prompted to think…

We propose that machine-learned computational models (MLCMs), in which the model parameters and perhaps even structure are learned from data, can complement extant approaches to the study of text and discourse. Such models are particularly useful when theoretical understanding is insufficient, when the data are rife with nonlinearities and…

This experiment investigated interactions between lower- and higher-level processing when reading in a second language (L2). We conducted an eye-tracking experiment with the within-subject manipulation inconsistency (to tap higher-level coherence-building) crossed with a within-subject manipulation of word-processing difficulty (to alter the ease…