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Statistical language acquisition, a branch of developmental psycholinguistics, studies the process by which humans develop the ability to perceive, produce, comprehend, and communicate with natural language in all of its aspects (phonological, syntactic, lexical, morphological, semantic) through the use of general learning mechanisms operating on statistical patterns in the linguistic input.
The role of statistical learning in language acquisition has been particularly well documented in the area of lexical acquisition. [1] One important contribution to infants' understanding of segmenting words from a continuous stream of speech is their ability to recognize statistical regularities of the speech heard in their environments. [1]
A stochastic grammar (statistical grammar) is a grammar framework with a probabilistic notion of grammaticality: Stochastic context-free grammar; Statistical parsing; Data-oriented parsing; Hidden Markov model (or stochastic regular grammar [1]) Estimation theory; The grammar is realized as a language model.
The Piotrowski law is a case of the so-called logistic model (cf. logistic equation). It was shown that it covers also language acquisition processes (cf. language acquisition law). Text block law: Linguistic units (e.g. words, letters, syntactic functions and constructions) show a specific frequency distribution in equally large text blocks.
The Child Language Data Exchange System (CHILDES) is a corpus established in 1984 [1] by Brian MacWhinney and Catherine Snow to serve as a central repository for data of first language acquisition. [ 2 ] [ 1 ] Its earliest transcripts date from the 1960s, and as of 2015 has contents (transcripts, audio, and video) in 26 languages from 230 ...
Optimality theory (frequently abbreviated OT) is a linguistic model proposing that the observed forms of language arise from the optimal satisfaction of conflicting constraints.
Statistical learning theory is a framework for machine learning drawing from the fields of statistics and functional analysis. [ 1 ] [ 2 ] [ 3 ] Statistical learning theory deals with the statistical inference problem of finding a predictive function based on data.
It is also published in association with a biennial monograph, the Language Learning-Max Planck Institute Cognitive Neurosciences Series. According to the Journal Citation Reports , the journal has a 2011 impact factor of 1.218, ranking it 26th out of 161 journals in the category "Linguistics" [ 2 ] and 42nd out of 203 journals in the category ...