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Lifeng Jin – ProQuest LLC, 2020
Syntactic structures are unobserved theoretical constructs which are useful in explaining a wide range of linguistic and psychological phenomena. Language acquisition studies how such latent structures are acquired by human learners through many hypothesized learning mechanisms and apparatuses, which can be genetically endowed or of general…
Descriptors: Syntax, Computational Linguistics, Learning Processes, Models
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Ross, Steven J.; Mackey, Beth – Language Learning, 2015
This chapter introduces three applications of Bayesian inference to common and novel issues in second language research. After a review of the critiques of conventional hypothesis testing, our focus centers on ways Bayesian inference can be used for dealing with missing data, for testing theory-driven substantive hypotheses without a default null…
Descriptors: Bayesian Statistics, Hypothesis Testing, Meta Analysis, Inferences
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Culbertson, Jennifer; Smolensky, Paul – Cognitive Science, 2012
In this article, we develop a hierarchical Bayesian model of learning in a general type of artificial language-learning experiment in which learners are exposed to a mixture of grammars representing the variation present in real learners' input, particularly at times of language change. The modeling goal is to formalize and quantify hypothesized…
Descriptors: Models, Bayesian Statistics, Artificial Languages, Language Acquisition
Lama, Ziwo Qiu-Fuyuan – ProQuest LLC, 2012
In southwest China and neighboring countries, including Thailand, Laos, Vietnam, and Myanmar, there live over 100 ethnic groups who speak languages known as Nuosu, Naxi, Hani, Lisu, Lahu, etc. These languages belong to the "Nisoic Branch" or the "Loloish Branch" of Tibeto-Burman (TB) subfamily of Sino-Tibetan. Though the Nisoic…
Descriptors: Sino Tibetan Languages, Innovation, Databases, Foreign Countries