Synthesis writing is widely taught across domains and serves as an important means of assessing writing ability, text comprehension, and content learning. Synthesis writing differs from other types of writing in terms of both cognitive and task demands because it requires writers to integrate information across source materials. However, little is…

Synthesis writing is widely taught across domains and serves as an important means of assessing writing ability, text comprehension, and content learning. Synthesis writing differs from other types of writing in terms of both cognitive and task demands because it requires writers to integrate information across source materials. However, little is…

Perception verbs and mental verbs have significant overlap in their syntax and semantics; both reference mental representations when taking embedded clauses, as in "I see that Maria was here" and "I think that Maria was here." Some have suggested that perception is more accessible for young children than mental states, raising…

Recent semantic space models learn vector representations for word meanings by observing statistical redundancies across a text corpus. A word's meaning is represented as a point in a high-dimensional semantic space, and semantic similarity between words is quantified by a function of their spatial proximity (typically the cosine of the angle…

The aim of the present paper is examining the mental representations activated by semantic networks in media discourse. It studies the cognitive frames that are mentally constructed and activated about illegal immigrants, in general, and Syrian refugees in particular. Any word class can evoke frames, but to limit the scope of analysis,…

This dissertation focuses on when and how children learn about the meanings of the propositional attitude" verbs know" and "think". "Know" and "think" both express belief. But they differ in their veridicality: "think" is non-veridical and can report a false belief; but "know" can only…

Semantic distance is a determining factor in cognitive processes, such as semantic priming, operating upon semantic memory. The main computational approach to compute semantic distance is through latent semantic analysis (LSA). However, objections have been raised against this approach, mainly in its failure at predicting semantic priming. We…

This article explores the relationship between intuition, introspection and the observation of naturally occurring utterances in linguistic inquiry. Its focus is on the problems that this relationship poses in cognitive approaches to semantics and case theory within the framework of Cognitive Grammar. Given the increasing commitment of linguistics…

Learning to read in any language requires learning to map among print, sound and meaning. Writing systems differ in a number of factors that influence both the ease and the rate with which reading skill can be acquired, as well as the eventual division of labor between phonological and semantic processes. Further, developmental reading disability…

This dissertation represents a study of the formation of "-sja" passives of Russian verbs of governing and wanting. I explore five imperfective verbs of governing: "zavedovat" "manage"; "komandovat" "command"; "pravit" "govern"; "rukovdit" "direct"; and "upravljat" "manage"; as well as four imperfective verbs of wanting: "iskat" "seek"; "trebovat"…

A basic challenge for research into the neurobiology of language is understanding how the brain combines words to make complex representations. Linguistic theory divides this task into several computations including syntactic structure building and semantic composition. The close relationship between these computations, however, poses a strong…

Section I of this report discusses the theoretical issues relating to the development of syntax recognition routines based on psychological models of human speech recognition and reviews the relevant psychological literature. The research reported deals with attempts to relate various syntactic variables to measures of the perceptual complexity of…

A model of natural language generation based on an underlying language-free representation of meaning is described. A computer implementation of this model, called BABEL, has been developed at Stanford University. It is able to produce sentence paraphrases which demonstrate understanding with respect to a given context. Available from Association…

The nature of computational linguistics, and formulation of problems in literary analysis to which this approach can be applied, are considered. A review of current work in this field and an illustration of how this work might be used in an analysis of Shakespeare's writing are presented. (RW)

This paper presents the theoretical changes that have developed in Conceptual Dependency Theory and their ramifications in computer analysis of natural language. The major items of concern are: the elimination of reliance on "grammar rules" for parsing with the emphasis given to conceptual rule based parsing; the development of a…