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Fowlie, Meaghan – ProQuest LLC, 2017
Adjuncts and arguments exhibit different syntactic behaviours, but modelling this difference in minimalist syntax is challenging: on the one hand, adjuncts differ from arguments in that they are optional, transparent, and iterable, but on the other hand they are often strictly ordered, reflecting the kind of strict selection seen in argument…
Descriptors: Persuasive Discourse, Syntax, Form Classes (Languages), Language Research
Schuler, Kathryn Dolores – ProQuest LLC, 2017
In natural language, evidence suggests that, while some rules are productive (regular), applying broadly to new words, others are restricted to a specific set of lexical items (irregular). Further, the literature suggests that children make a categorical distinction between regular and irregular rules, applying only regular rules productively…
Descriptors: Prediction, Linguistic Theory, Language Acquisition, Grammar
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
Aslin, Richard N.; Newport, Elissa L. – Language Learning, 2014
In the past 15 years, a substantial body of evidence has confirmed that a powerful distributional learning mechanism is present in infants, children, adults and (at least to some degree) in nonhuman animals as well. The present article briefly reviews this literature and then examines some of the fundamental questions that must be addressed for…
Descriptors: Linguistic Input, Grammar, Language Research, Computational Linguistics
Sakas, William Gregory; Fodor, Janet Dean – Language Acquisition: A Journal of Developmental Linguistics, 2012
We present data from an artificial language domain that suggest new contributions to the theory of syntactic triggers. Whether a learning algorithm is capable of matching the achievements of child learners depends in part on how much parametric ambiguity there is in the input. For practical reasons this cannot be established for the domain of all…
Descriptors: Ambiguity (Semantics), Artificial Languages, Language Acquisition, Linguistic Theory
Miyata, Munehiko – ProQuest LLC, 2011
This dissertation presents results from a series of experiments investigating adult learning of an artificial language and the effects that input frequency (high vs. low token frequency), frequency distribution (skewed vs. balanced), presentation mode (structured vs. scrambled), and first language (English vs. Japanese) have on such learning.…
Descriptors: Adult Learning, Semantics, Native Speakers, Artificial Languages
Majidi, Mojdeh – Online Submission, 2007
We live in an increasingly interconnected world where the growing movements of ideas, goods, information, money and people across national boundaries and technological advancements have led to the urgent need to have a common secondary language to partake in the global community. This study intends to extend the literature on the idea of an…
Descriptors: Foreign Countries, Language Planning, Graduate Students, English (Second Language)