Automatic Assessment of Connected Speech and Its Relation to Memory in Alzheimer's Disease in Low Education.

Introduction: Discourse is one of the main linguistic aspects affected by Alzheimer's disease (AD), and its relationship with memory needs to be further studied, mainly in low education and low socioeconomic status groups. The present study aimed to investigate differences in the recall of short narratives between participants with mild AD and a control group (CG) of typical older adults (CG) with the use of automatic assessment.

Methods: Seventeen older adults diagnosed with AD (mean age 76.

RastrOS Project: Natural Language Processing contributions to the development of an eye-tracking corpus with predictability norms for Brazilian Portuguese.

This article presents RastrOS, a new eye-tracking corpus of eye movement data from university students during silent reading of paragraphs of texts in Brazilian Portuguese (BP). The article shows the potential of the corpus for natural language processing (NLP) using it to evaluate the sentence complexity prediction task in BP and it also focuses on the description of NLP resources and methods developed to create the corpus. Specifically, we present: (i) the method used to select the corpus paragraphs from large corpora, using linguistic metrics and clustering algorithms; (ii) the platform for collecting the Cloze test, which is also responsible for creating the project datasets, and (iii) the hybrid semantic similarity method, based on word embedding models and contextualised word representations, used to generate semantic predictability norms.