Negative Evidence In Language Acquisition
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Negative Evidence In Language Acquisition
In language acquisition, negative evidence is information concerning what is not possible in a language. Importantly, negative evidence does not show what ''is'' grammatical; that is positive evidence. In theory, negative evidence would help eliminate ungrammatical constructions by revealing what is ''not'' grammatical. ''Direct'' negative evidence refers to comments made by an adult language-user in response to a learner's ungrammatical utterance. ''Indirect'' negative evidence refers to the absence of ungrammatical sentences in the language that the child is exposed to. There is debate among linguists and psychologists about whether negative evidence can help children determine the grammar of their language. Negative evidence, if it is used, could help children rule out ungrammatical constructions in their language. Direct negative evidence Direct negative evidence in language acquisition consists of utterances that indicate whether a construction in a language is ungrammatical. ...
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Language Acquisition
Language acquisition is the process by which humans acquire the capacity to perceive and comprehend language (in other words, gain the ability to be aware of language and to understand it), as well as to produce and use words and sentences to communicate. Language acquisition involves structures, rules and representation. The capacity to use language successfully requires one to acquire a range of tools including phonology, morphology, syntax, semantics, and an extensive vocabulary. Language can be vocalized as in speech, or manual as in sign. Human language capacity is represented in the brain. Even though human language capacity is finite, one can say and understand an infinite number of sentences, which is based on a syntactic principle called recursion. Evidence suggests that every individual has three recursive mechanisms that allow sentences to go indeterminately. These three mechanisms are: ''relativization'', ''complementation'' and ''coordination''. There are two ma ...
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Intransitive Verb
In grammar, an intransitive verb is a verb whose context does not entail a direct object. That lack of transitivity distinguishes intransitive verbs from transitive verbs, which entail one or more objects. Additionally, intransitive verbs are typically considered within a class apart from modal verbs and defective verbs. Examples In the following sentences, verbs are used without a direct object: *"Rivers flow." *"I sneezed." *"My dog ran." *"Water evaporates when it's hot." *"You've grown since I last saw you!" *"I wonder how old I will be when I die." The following sentences contain transitive verbs (they entail one or more objects): *"We watched ''a movie'' last night." *"She's making ''promises''." *"When I said that, my sister smacked ''me''." *"Santa gave ''me'' ''a present''." *"He continuously clicked ''his pen'' and it was incredibly annoying to me." Some verbs, called ambitransitive verbs, may entail objects but do not always require one. Such a verb may be used as ...
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Linguistics
Linguistics is the scientific study of human language. It is called a scientific study because it entails a comprehensive, systematic, objective, and precise analysis of all aspects of language, particularly its nature and structure. Linguistics is concerned with both the cognitive and social aspects of language. It is considered a scientific field as well as an academic discipline; it has been classified as a social science, natural science, cognitive science,Thagard, PaulCognitive Science, The Stanford Encyclopedia of Philosophy (Fall 2008 Edition), Edward N. Zalta (ed.). or part of the humanities. Traditional areas of linguistic analysis correspond to phenomena found in human linguistic systems, such as syntax (rules governing the structure of sentences); semantics (meaning); morphology (structure of words); phonetics (speech sounds and equivalent gestures in sign languages); phonology (the abstract sound system of a particular language); and pragmatics (how social con ...
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Language Acquisition
Language acquisition is the process by which humans acquire the capacity to perceive and comprehend language (in other words, gain the ability to be aware of language and to understand it), as well as to produce and use words and sentences to communicate. Language acquisition involves structures, rules and representation. The capacity to use language successfully requires one to acquire a range of tools including phonology, morphology, syntax, semantics, and an extensive vocabulary. Language can be vocalized as in speech, or manual as in sign. Human language capacity is represented in the brain. Even though human language capacity is finite, one can say and understand an infinite number of sentences, which is based on a syntactic principle called recursion. Evidence suggests that every individual has three recursive mechanisms that allow sentences to go indeterminately. These three mechanisms are: ''relativization'', ''complementation'' and ''coordination''. There are two ma ...
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CHILDES
The Child Language Data Exchange System (CHILDES) is a corpus established in 1984 by Brian MacWhinney and Catherine Snow to serve as a central repository for data of first language acquisition. Its earliest transcripts date from the 1960s, and it now has contents (transcripts, audio, and video) in 26 languages from 130 different corpora, all of which are publicly available worldwide. Recently, CHILDES has been made into a component of the larger corpus TalkBank, which also includes language data from aphasics, second language acquisition, conversation analysis, and classroom language learning. CHILDES is mainly used for analyzing the language of young children and directed to the child speech of adults. During the early 1990s, as computational resources capable of easily manipulating the data volumes found in CHILDES became commonly available, there was a significant increase in the number of studies of child language acquisition that made use of it. CHILDES is currently direct ...
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Bayesian Inference
Bayesian inference is a method of statistical inference in which Bayes' theorem is used to update the probability for a hypothesis as more evidence or information becomes available. Bayesian inference is an important technique in statistics, and especially in mathematical statistics. Bayesian updating is particularly important in the dynamic analysis of a sequence of data. Bayesian inference has found application in a wide range of activities, including science, engineering, philosophy, medicine, sport, and law. In the philosophy of decision theory, Bayesian inference is closely related to subjective probability, often called "Bayesian probability". Introduction to Bayes' rule Formal explanation Bayesian inference derives the posterior probability as a consequence of two antecedents: a prior probability and a "likelihood function" derived from a statistical model for the observed data. Bayesian inference computes the posterior probability according to Bayes' theorem: ...
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Expletive (linguistics)
An expletive is a word or phrase inserted into a sentence that is not needed to express the basic meaning of the sentence. It is regarded as semantically null or a placeholder. Expletives are not insignificant or meaningless in all senses; they may be used to give emphasis or tone, to contribute to the meter in verse, or to indicate tense. The word "expletive" derives from the Latin word : Serving to fill out or take up space. In these examples ''in fact'' and ''indeed'' are expletives: :*The teacher was not, in fact, present. :*Indeed, the teacher was absent. In conversation the expressions ''like'' and ''you know'', when they are not meaningful, are expletives. The word ''so'', used as an introductory particle (especially when used in answer to a question), has become a common modern expletive. Oaths or profanities may be expletives, as occurs in Shakespeare: :"Yes, ''by Saint Patrick'', but there is, Horatio." :: ''Hamlet,'' act 1, scene 5, line 134 :"''Zounds'', sir, you ...
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Topic And Comment
In linguistics, the topic, or theme, of a sentence is what is being talked about, and the comment (rheme or focus) is what is being said about the topic. This division into old vs. new content is called information structure. It is generally agreed that clauses are divided into topic vs. comment, but in certain cases the boundary between them depends on which specific grammatical theory is being used to analyze the sentence. Topic, which is defined by pragmatic considerations, is a distinct concept from grammatical subject, which is defined by syntax. In any given sentence these may be the same, but they need not be. For example, in the sentence "As for the little girl, the dog bit her", the subject is "the dog" but the topic is "the little girl". Topic and subject are also distinct concepts from agent (or actor)—the "doer", which is defined by semantics. In English clauses with a verb in the passive voice, for instance, the topic is typically the subject, while the agent ma ...
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Transitive Verb
A transitive verb is a verb that accepts one or more objects, for example, 'cleaned' in ''Donald cleaned the window''. This contrasts with intransitive verbs, which do not have objects, for example, 'panicked' in ''Donald panicked''. Transitivity is traditionally thought of as a global property of a clause, by which activity is transferred from an agent to a patient. Transitive verbs can be classified by the number of objects they require. Verbs that accept only two arguments, a subject and a single direct object, are monotransitive. Verbs that accept two objects, a direct object and an indirect object, are ''ditransitive'', or less commonly ''bitransitive''. An example of a ditransitive verb in English is the verb ''to give'', which may feature a subject, an indirect object, and a direct object: ''John gave Mary the book''. Verbs that take three objects are ''tritransitive''. In English a tritransitive verb features an indirect object, a direct object, and a prepositional ph ...
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Joshua Tenenbaum
Joshua Brett Tenenbaum (Josh Tenenbaum) is Professor of Computational Cognitive Science at the Massachusetts Institute of Technology. He is known for contributions to mathematical psychology and Bayesian cognitive science. According to the MacArthur Foundation, which named him a MacArthur Fellow in 2019, "Tenenbaum is one of the first to develop and apply probabilistic and statistical modeling to the study of human learning, reasoning, and perception, and to show how these models can explain a fundamental challenge of cognition: how our minds understand so much from so little, so quickly." Biography Tenenbaum grew up in California. His mother was a teacher and his father is Internet commerce pioneer Jay Martin Tenenbaum. His research direction was strongly influenced by his parents' interest in teaching and learning, and later by interactions with cognitive psychologist Roger Shepard, during his years at Yale. Tenenbaum received his undergraduate degree in physics from Yale Uni ...
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Grammar
In linguistics, the grammar of a natural language is its set of structure, structural constraints on speakers' or writers' composition of clause (linguistics), clauses, phrases, and words. The term can also refer to the study of such constraints, a field that includes domains such as phonology, morphology (linguistics), morphology, and syntax, often complemented by phonetics, semantics, and pragmatics. There are currently two different approaches to the study of grammar: traditional grammar and Grammar#Theoretical frameworks, theoretical grammar. Fluency, Fluent speakers of a variety (linguistics), language variety or ''lect'' have effectively internalized these constraints, the vast majority of which – at least in the case of one's First language, native language(s) – are language acquisition, acquired not by conscious study or language teaching, instruction but by hearing other speakers. Much of this internalization occurs during early childhood; learning a language later ...
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Fei Xu
Fei Xu (; born 1969) is an American developmental psychologist and cognitive scientist who is currently a professor of psychology and the director of the Berkeley Early Learning Lab at UC Berkeley. Her research focuses on cognitive and language development, from infancy to middle childhood. Early life Xu was born and raised in Beijing, China, where she graduated from the High School Affiliated to Renmin University of China. She moved to the U.S. and attended Smith College, graduating in 1991 with a B.A. in Cognitive Science. She earned her Ph.D. in Cognitive Science from M.I.T. in 1995. Career Xu began her career as a postdoctoral fellow at the University of Pennsylvania, Rutgers University, and Massachusetts Institute of Technology, M.I.T. under Alan Leslie, Alan M. Leslie. She joined Northeastern University as an assistant professor in 1997. In 2003, she moved to Vancouver to be an associate professor at the University of British Columbia (UBC) and was awarded the Canada Rese ...
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