In recent years, experts in theory of gesture have been showing some interest automating the discovery information. Such an automation can help them reducing inherent subjectivity studies. Usually, to produce information for linguistic and psycholinguistic studies, researchers analyze a video people speaking gesturing. This annotation task is costly it goal automation. videos compose datasets t...

The aim of this study was to investigate the role of linguistic and intelligence factors in the Iranian IELTS candidates’ speaking performance. Linguistic factors include depth and breadth of vocabulary knowledge as well as grammar knowledge. Narrative and verbal intelligences represent the non-linguistic factors. The participants included 329 learners who took 5 validated tests and also partic...

the aim of this study was to investigate the role of linguistic and intelligence factors in the iranian ielts candidates’ speaking performance. linguistic factors include depth and breadth of vocabulary knowledge as well as grammar knowledge. narrative and verbal intelligences represent the non-linguistic factors. the participants included 329 learners who took 5 validated tests and also partic...

In human sentence processing, cognitive load can be defined many ways. This report considers a definition of cognitive load in terms of the total probability of structural options that have been disconfirmed at some point in a sentence: the surprisal of word wi given its prefix w0...i−1 on a phrase-structural language model. These loads can be efficiently calculated using a probabilistic Earley...

We introduce a bootstrapping algorithm for regression that exploits word embedding models. We use it to infer four psycholinguistic properties of words: Familiarity, Age of Acquisition, Concreteness and Imagery and further populate the MRC Psycholinguistic Database with these properties. The approach achieves 0.88 correlation with humanproduced values and the inferred psycholinguistic features ...