Neural network models have recently made striking progress in natural language processing, but they are typically trained on orders of magnitude more language input than children receive. What can these neural networks, which are primarily distributional learners, learn from a naturalistic subset of a single child's experience? We examine this…

The meaning of most words in language depends on their context. Understanding how the human brain extracts contextualized meaning, and identifying where in the brain this takes place, remain important scientific challenges. But technological and computational advances in neuroscience and artificial intelligence now provide unprecedented…

Previous research has suggested that Event-Related Potentials (ERPs) can index form-, meaning-, and use-related aspects of the second language (L2) vocabulary knowledge, through, respectively, a lexical decision task (LDT, targeting N400), a semantic relatedness task (SEMREL, targeting N400), and a grammatical judgment task (GJT, targeting…

Understanding language requires the ability to compose the meanings of words into phrase and sentence meanings. Formal theories in semantics have framed the hypothesis that all instances of meaning composition, irrespective of the syntactic and semantic properties of the expressions involved, boil down to a unique formal operation, that is, the…

The representational product of sentence comprehension is the result of the interplay between episodic and semantic memory and our knowledge of the grammatical devices of our language which guide how we retrieve information from these systems. Past participles, being a part of speech derived from verbs but used in a prenominal position (e.g. words…

Conjunctions play a crucial role in the construction of a coherent mental representation by signaling coherence relations between clauses, especially for second language users. By using event-related potentials (ERPs), this study aimed to investigate how different conjunctions ("so," "and," "although," or a "full…

In this study we investigated whether the human brain distinguishes between telic events that necessarily entail a specified endpoint (e.g., "reaching"), and atelic events with no delimitation or final state (e.g., "chasing"). We used functional magnetic resonance imaging to explore the patterns of neural response associated with verbs denoting…

The present study aimed to refine current hypotheses regarding thematic reversal anomalies, which have been found to elicit either N400 or--more frequently--"semantic-P600" (sP600) effects. Our goal was to investigate whether distinct ERP profiles reflect aspectual-thematic differences between Agent-Subject Verbs (ASVs; e.g., "to eat") and…

Recent ERP findings challenge the widespread assumption that syntactic and semantic processes are tightly coupled. Syntactically well-formed sentences that are semantically anomalous due to thematic mismatches elicit a P600, the component standardly associated with syntactic anomaly. This "thematic P600" effect has been attributed to detection of…

Sometimes, the relationship between form and meaning in language is not one-to-one. Here, we used event-related brain potentials (ERPs) to illuminate the neural correlates of such flexible syntax-semantics mappings during sentence comprehension by examining split-intransitivity. While some ("rigid") verbs consistently select one…

In Spanish, objects and events at subject position constrain the selection of different forms of the auxiliary verb "to be": locative predicates about objects require "estar en", while those relating to events require "ser en", both translatable as "to be in". Subjective ratings showed that while the "object + ser + en" is considered as incorrect,…

An event-related potential experiment was conducted to investigate the temporal neural dynamics of animacy processing in the interpretation of classifier-noun combinations. Participants read sentences that had a non-canonical structure, "object noun" + "subject noun" + "verb" + "numeral-classifier" + "adjective". The object noun and its classifier…

This paper reports a conjunction analysis between semantic relatedness judgment and semantic associate generation of Chinese nouns and verbs with concrete or abstract meanings. The results revealed a verb-specific task-independent region in LpSTG&MTG, and task-dependent activation in a left frontal region in semantic judgment and the left SMG in…

Event structure describes the relationships between general semantics ("Aktionsart") of the verb and its syntactic properties, separating verbs into two classes: telic verbs, which denote change of state events with an inherent end-point or boundary ("catch, rescue"), and atelic, which refer to homogenous activities ("tease, host"). As telic verbs…

We present a neural network model of learning and processing the English past tense that is based on the notion that experience-dependent cortical development is a core aspect of cognitive development. During learning the model adds and removes units and connections to develop a task-specific final architecture. The model provides an integrated…