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Ouyang, Long; Boroditsky, Lera; Frank, Michael C. – Cognitive Science, 2017
Computational models have shown that purely statistical knowledge about words' linguistic contexts is sufficient to learn many properties of words, including syntactic and semantic category. For example, models can infer that "postman" and "mailman" are semantically similar because they have quantitatively similar patterns of…
Descriptors: Semiotics, Computational Linguistics, Syntax, Semantics
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Mesmer, Heidi Anne; Cunningham, James W.; Hiebert, Elfrieda H. – Reading Research Quarterly, 2012
In this conceptual essay, we offer rationales and evidence for critical components of a working model of text complexity for the early grades. In the first three sections of the article, we examine word-level, syntax-level, and discourse-level features of text, posing questions for future research. In the fourth section, we address elements of…
Descriptors: Primary Education, Reader Text Relationship, Difficulty Level, Familiarity
Yue, Kun – ProQuest LLC, 2010
This dissertation investigates the interaction between form and function in Mandarin Chinese by empirically examining the interactions of core semantic roles (Agent and Patient) and the syntactic representation of those interactions in semantically transitive events. First, I demonstrate that syntactic structures and functions are intertwined with…
Descriptors: Semantics, Connected Discourse, Interaction, Mandarin Chinese
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Dell, Gary S.; Oppenheim, Gary M.; Kittredge, Audrey K. – Language and Cognitive Processes, 2008
Retrieving a word in a sentence requires speakers to overcome syntagmatic, as well as paradigmatic interference. When accessing "cat" in "The cat chased the string", not only are similar competitors such as "dog" and "cap" activated, but also other words in the planned sentence, such as "chase" and "string". We hypothesise that both types of…
Descriptors: Sentences, Language Processing, Inhibition, Vocabulary
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Yannakoudakis, Emmanuel J.; Attar-Bashi, Hussain A. – Journal of Documentation, 1989
Describes a model that displays structures necessary to map between the conceptual and external levels in database management systems, using an algorithm that maps the syntactic representations of tuples onto semantic representations. A technique for translating tuples into natural language sentences is introduced, and a system implemented in…
Descriptors: Algorithms, Computational Linguistics, Connected Discourse, Database Management Systems
Reichman, Rachel – 1978
To analyze the process involved in maintaining conversational coherency, the study described in this paper used a construct called a "context space" that grouped utterances referring to a single issue or episode. The paper defines the types of context spaces, parses individual conversations to identify the underlying model or structure,…
Descriptors: Communication (Thought Transfer), Connected Discourse, Context Clues, Discourse Analysis
Hofmann, Thomas R. – 1979
The descriptive contents (cognitive meanings) of the modals "can,""may,""could,""might,""must,""need,""ought,""should," compared with paraphrastic verbs and adjectives, motivate two cross-classifying dimensions: logical modality (possibility, impossibility, necessity)…
Descriptors: Chinese, Connected Discourse, Contrastive Linguistics, Descriptive Linguistics