Meaning in language emerges from multiple words, and children are sensitive to multi-word frequency from infancy. While children successfully use cues from single words to generate linguistic predictions, it is less clear whether and how they use multi-word sequences to guide real-time language processing and whether they form predictions on the…

We present a self-organizing approach to sentence processing that sheds new light on notional plurality effects in agreement attraction, using pseudopartitive subject noun phrases (e.g., "a bottle of pills"). We first show that notional plurality ratings (numerosity judgments for subject noun phrases) predict verb agreement choices in…

Open-ended questions in mathematics are commonly used by teachers to monitor and assess students' deeper conceptual understanding of content. Student answers to these types of questions often exhibit a combination of language, drawn diagrams and tables, and mathematical formulas and expressions that supply teachers with insight into the processes…

The objective of this research is to build automated models that emulate VerbNet, a semantic resource for English verbs. VerbNet has been built and expanded by linguists, forming a hierarchical clustering of verbs with common semantic and syntactic expressions, and is useful in semantic tasks. A major drawback is the difficulty of extending a…

The coherence threshold marks the point at which a reader has gained a sufficient comprehension level to move on in a text. Previous research has demonstrated that the readers' coherence threshold can be manipulated by increasing or decreasing task demands. The present experiments examined a manipulation of the coherence threshold within the text…

To account for natural variability in cognitive processing, it is standard practice to optimize a model's parameters by fitting it to behavioral data. Although most language-related theories acknowledge a large role for experience in language processing, variability reflecting that knowledge is usually ignored when evaluating a model's fit to…

We propose a model that employs convolutional neural networks (CNN) to evaluate sociomoral reasoning maturity, a key social ability, necessary for adaptive social functioning. Our model is used in a serious game to evaluate learners. It uses pre-annotated textual data (verbatims) and a coding scheme (SoMoral) applied by experts in psychology.…

This study tested the effect of constraining sentence context on word recognition time (RT) in the first and second language. Native (L1) and nonnative (L2) speakers of English performed self-paced reading and listening tasks to see whether a semantically-rich preceding context would lead to the activation of a probable upcoming word prior to…

We address the challenging task of "computational natural language inference," by which we mean bridging two or more natural language texts while also providing an explanation of how they are connected. In the context of question answering (i.e., finding short answers to natural language questions), this inference connects the question…

The goal of this article is to make the case for a radical exemplar account of child language acquisition, under which unwitnessed forms are produced and comprehended by on-the-fly analogy across multiple stored exemplars, weighted by their degree of similarity to the target with regard to the task at hand. Across the domains of (1) word meanings,…

The RI-Val model of comprehension includes a validation process in which linkages formed by integration are matched against active memory. In five experiments, we investigated factors that influence validation. Reading times were measured on target sentences that contained either correct information or semantically related, but incorrect content.…

Most current models of sentence comprehension assume that the human parsing mechanism (HPM) algorithmically computes detailed syntactic representations as basis for extracting sentence meaning. These models share the assumption that the representations computed by the HPM accurately reflect the linguistic input. This assumption has been challenged…

The perfective aspect marker in Chinese is partly functionally similar to inflectional suffixes in Indo-European languages but is non-inflectional and lexical in nature, lying thus at the semantics-syntax interface. This provides us with the opportunity to compare directly the syntactic and semantic constraints during second language (L2) sentence…

Because a large number of Chinese characters are commonly used in both Japanese and Chinese, Chinese-speaking learners of Japanese as a second language (JSL) find it more challenging to learn Japanese functional expressions than to learn other Japanese vocabulary. To address this challenge, we have developed "Jastudy," a…

The current study examined preschool children's ability to evaluate the entailment patterns yielded by sentences containing two downward entailing (DE) operators, "every" and "no." When "no" precedes "every," the entailment pattern typically licensed by "every" changes, but only if "no"…