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Modeling Incremental Language Comprehension in the Brain with Combinatory Categorial Grammar
Hierarchical sentence structure plays a role in word-by-word human sentence comprehension, but it remains unclear how best to characterize this structure and unknown how exactly it would be recognized in a step-by-step process model.
The Alice Datasets: fMRI \& EEG Observations of Natural Language Comprehension
The Alice Datasets are a set of datasets based on magnetic resonance data and electrophysiological data, collected while participants heard a story in English.
The Little Prince in 26 Languages: Towards a Multilingual Neuro-Cognitive Corpus
The planned release of the LPPC combines linguistic and EEG data for many languages using fully automatic methods, and thus constitutes a readily extendable resource that supports cross-linguistic and cross-disciplinary research.
Text Genre and Training Data Size in Human-like Parsing
Domain-specific training typically makes NLP systems work better.
Temporal Lobes as Combinatory Engines for both Form and Meaning
The relative contributions of meaning and form to sentence processing remains an outstanding issue across the language sciences.
