Applications of Universal Grammar (UG) in the ESL/EFL Classroom1
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The Growth of Language: Universal Grammar, Experience, and Principles of Computation
G Model NBR-2698; No. of Pages 18 ARTICLE IN PRESS Neuroscience and Biobehavioral Reviews xxx (2017) xxx–xxx Contents lists available at ScienceDirect Neuroscience and Biobehavioral Reviews journal homepage: www.elsevier.com/locate/neubiorev Review article The growth of language: Universal Grammar, experience, and principles of computation a,∗ b c d e,f Charles Yang , Stephen Crain , Robert C. Berwick , Noam Chomsky , Johan J. Bolhuis a Department of Linguistics and Department of Computer and Information Science, University of Pennsylvania, 619 Williams Hall, Philadelphia, PA 19081, USA b Department of Linguistics, Macquarie University, and ARC Centre of Excellence in Cognition and its Disorders, Sydney, Australia c Department of Electrical Engineering and Computer Science and Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, USA d Department of Linguistics and Philosophy, MIT, Cambridge MA, USA e Cognitive Neurobiology and Helmholtz Institute, Departments of Psychology and Biology, Utrecht University, Utrecht, The Netherlands f Department of Zoology and St. Catharine’s College, University of Cambridge, UK a r t i c l e i n f o a b s t r a c t Article history: Human infants develop language remarkably rapidly and without overt instruction. We argue that the Received 13 September 2016 distinctive ontogenesis of child language arises from the interplay of three factors: domain-specific prin- Received in revised form ciples of language (Universal Grammar), external experience, and properties of non-linguistic domains 10 November 2016 of cognition including general learning mechanisms and principles of efficient computation. We review Accepted 16 December 2016 developmental evidence that children make use of hierarchically composed structures (‘Merge’) from the Available online xxx earliest stages and at all levels of linguistic organization. -
The Problem of Universal Grammar with Multiple Languages: Arabic, English, Russian As Case Study
(IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 7, No. 4, 2016 The Problem of Universal Grammar with Multiple Languages: Arabic, English, Russian as Case Study Nabeel Imhammed Zanoon Department of Applied Science, Al- Balqa' Applied University (BAU) Aqaba-Jordan Abstract—Every language has its characteristics and rules, to understand and acquire their mother tongue because they though all languages share the same components like words, stipulate that the universal rules are rules for all languages [6]. sentences, subject, verb, object and so on. Nevertheless, Chomsky The language acquisition device is called Universal Grammar suggested the theory of language acquisition in children which provides children with the principles of a universal instinctively through a universal grammar that represents a language and grammatical structures with an instinctive universal grammar for all human languages. Since it has its hypothesis; it suggests that our ability to learn language rules is declaration, this theory has encountered criticism from linguists. already found in the brain. This theory states that language In this paper, the criticism will be presented, and the conclusion ability appears by itself without being taught and that there are that the general rule is not compatible with all human languages characteristics common to all human languages [7]. The will be suggested by studying some human languages as a case problem of the universal grammar with other languages will namely Arabic, English, and Russian. be discussed by studying the syntactic structure in several Keywords—Chomsky; linguistic; Universal Grammar; Arabic; languages and comparing them to each other, and by designing English; Russian a finished cases device that represents the structure and arrangement of words in the languages in order to prove that I. -
Universal Grammar Is Dead 7
BEHAVIORAL AND BRAIN SCIENCES (2009) 32, 429–492 doi:10.1017/S0140525X0999094X The myth of language universals: Language diversity and its importance for cognitive science Nicholas Evans Department of Linguistics, Research School of Asian and Pacific Studies, Australian National University, ACT 0200, Australia [email protected] http://rspas.anu.edu.au/people/personal/evann_ling.php Stephen C. Levinson Max Planck Institute for Psycholinguistics, Wundtlaan 1, NL-6525 XD Nijmegen, The Netherlands; and Radboud University, Department of Linguistics, Nijmegen, The Netherlands [email protected] http://www.mpi.nl/Members/StephenLevinson Abstract: Talk of linguistic universals has given cognitive scientists the impression that languages are all built to a common pattern. In fact, there are vanishingly few universals of language in the direct sense that all languages exhibit them. Instead, diversity can be found at almost every level of linguistic organization. This fundamentally changes the object of enquiry from a cognitive science perspective. This target article summarizes decades of cross-linguistic work by typologists and descriptive linguists, showing just how few and unprofound the universal characteristics of language are, once we honestly confront the diversity offered to us by the world’s 6,000 to 8,000 languages. After surveying the various uses of “universal,” we illustrate the ways languages vary radically in sound, meaning, and syntactic organization, and then we examine in more detail the core grammatical machinery of recursion, constituency, and grammatical relations. Although there are significant recurrent patterns in organization, these are better explained as stable engineering solutions satisfying multiple design constraints, reflecting both cultural-historical factors and the constraints of human cognition. -
An Overview of Researches on Biolinguistics
ISSN 1712-8056[Print] Canadian Social Science ISSN 1923-6697[Online] Vol. 10, No. 1, 2014, pp. 171-176 www.cscanada.net DOI:10.3968/j.css.1923669720141001.4219 www.cscanada.org An Overview of Researches on Biolinguistics WU Jieqiong[a],* [a]School of Foreign Languages, Hubei Engineering University, Xiaogan, language to light and promote the further development China. of linguistics. Biolinguistics aims to study languages *Corresponding author. from the perspective of biology and highlights the Received 23 August 2013; accepted 15 January 2014 fact that humanistic linguistics obtains motive force of development from biology (Yuan & Liu, 2008). Abstract Biolinguistics can be interpreted in both narrow and In 1997 in memory of the 40th anniversary of broad senses. Biolinguistics in narrow sense mainly refers transformational-generative grammar, Jenkins wrote to the study on grammar attributes proposed by school the article “Biolinguistics: Structure development and of generative grammar represented by Chomsky, who evolution of language”, which helped produce a large studies languages as a natural object and regards linguistic number of scholarly monographs and papers with respect organic function as human brain’s innate biological organ. to biolinguistics. Simultaneously, a series of relevant In broad sense, the study of biolinguistics means language international academic seminars were successfully held. research from the perspectives of evolutionary biology, This paper, based on the summarization of research neuroscience, genetic science, psychology and even status quo on biolinguistics, looks forward to the future physiological basis for the research of languages (Wu, development of biolinguistics so as to help predict the 2012a). development of biolinguistic researches. Although the discipline of biolinguistics is a new branch of science, it has a long history. -
Another Look at the Universal Grammar Hypothesis: Commentary on Evans 2014 Adele E
200 LANGUAGE, VOLUME 92, NUMBER 1 (2016) quickly becomes evident that this is not a genuine tour de force, à la Pinker 1994. No, TLM is not the antidote to the long cognitivist nightmare that is The language instinct . In fact, by the end of the book, I fear it not only misses the point, but if adopted to any degree within the field, will also mislead young researchers and students of language into thinking that the debate is between E’s brand of linguistics on the one hand, and a bunch of raving, delusional, irrational bullies on the other. Ultimately, then, TLM will do little to advance the debate on linguistic nativism, although it might very well energize those already in E’s camp. REFERENCES Bickerton, Derek . 1981. The roots of language . Ann Arbor, MI: Karoma. Bickerton, Derek . 1984. The language bioprogram hypothesis. Behavioral and Brain Sciences 7.173–88. DOI: 10.1017/S0140525X00044149 . Crain, Stephen, and Mineharu Nakayama. 1987. Structure dependence in grammar formation. Language 63.522–43. DOI: 10.2307/415004 . Evans, Vyvyan. 2014 . The language myth: Why language is not an instinct . Cambridge: Cambridge Uni - versity Press. Pinker , Steven . 1994. The language instinct . New York: William Morrow & Company. Department of Linguistics University of Hawai‘i at Manoa [[email protected]] Another look at the universal grammar hypothesis: Commentary on Evans 2014 Adele E. Goldberg Princeton University * It is important to recognize that The language myth (TLM ) is not a research monograph, but is instead aimed at a popular audience, and therefore it should be judged in this light. -
The “Grammar” in Universal Grammar: a Biolinguistic Clarification Patrick C
DOI: 10.1515/qal-2015-0005 ISSN: 2299–8942 The “grammar” in Universal Grammar: A biolinguistic clarification Patrick C. Trettenbrein ABSTRACT This short piece addresses the confusion over terminology that has reigned, and partly still reigns, when it comes to the concept of Universal Grammar (UG). It is argued that whilst there might be changes in terminology and theory, conceptually UG cannot be eliminated. From a biolinguistic perspective, UG is not a hypothesis by any rational epistemological standard, but an axiom. Along these lines, the contemporary evolutionary perspective on the language faculty (FL) is briefly discussed to then argue that UG is necessarily part of FL in both a narrow and broad sense. Ultimately, regardless of terminology, UG is inevitably one of the factors determining the growth of FL. Keywords: Universal Grammar (UG), Faculty of Language (FL), I-language, language universals, minimalism, evolution of language, biolinguistics, cognitive science 1 Introduction Despite having been in active use by (mostly generative) linguists for a long time, the technical term Universal Grammar (UG) has led to ample confusion amongst linguists and non-linguists alike. As a consequence, Boeckx and Benítez Burraco (2014) have supplanted the label UG with talk about the “language-ready brain.” Yet, conceptually, nothing has changed: A language-ready brain is a brain shaped by UG. In turn, UG is defined as genetic endowment with regard to language (Chomsky, 2005) and is one of the factors influencing the initial growth and further development of the human language faculty (FL). This short piece addresses the confusion over the “grammar” in UG because both, terminology and the concept of UG, have been subject to a multitude of debates and misunderstanding. -
How Statistical Learning Can Play Well with Universal Grammar
Chapter 1 How statistical learning can play well with Universal Grammar Lisa S. Pearl1 1Language Science & Cognitive Sciences, University of California, Irvine, 3151 Social Science Plaza A, Irvine, California, 92697, USA, [email protected] Abstract: One motivation for Universal Grammar (UG) is that it allows children to acquire the linguistic knowledge that they do as quickly as they do from the data that's available to them. A key legacy of Chomsky's work in language acquisition is highlighting the separation between children's hypothesis space of possible representations (typically defined by UG) and how children might navigate that hypothesis space (sometimes defined by UG). While statistical learning is sometimes thought to be at odds with UG, I review how statistical learning can both complement UG and help us refine our ideas about the contents of UG. I first review some cognitively- plausible statistical learning mechanisms that can operate over a predefined hypothesis space, like those UG creates. I then review two sets of examples: (i) those where statistical learning allows more efficient navigation through a UG-defined hypothesis space, and (ii) those where statistical learning can replace prior UG proposals for navigating a hypothesis space, and in turn 1 lead to new ideas about how UG might construct the hypothesis space in the first place. I conclude with a brief discussion of how we might make progress on understanding language acquisition by incorporating statistical learning into our UG-based acquisition theories. Keywords: Universal Grammar, statistical learning, linguistic parameters, parameter setting, linking theories, Subset Principle, syntactic islands 1.1. Introduction A key motivation for Universal Grammar (UG) is developmental: UG can help children acquire the linguistic knowledge that they do as quickly as they do from the data that's available to them [Chomsky, 1981, Jackendoff, 1994, Laurence and Margolis, 2001, Crain and Pietroski, 2002]. -
Biolinguistics and the Foundations of a Natural Science of Language*
teorema Vol. XXXII/2, 2013, pp. 193-204 ISSN: 0210-1602 [BIBLID 0210-1602 (2013) 32:2; pp. 193-204] Biolinguistics and the Foundations of a Natural Science of Language* Cedric Boeckx The Science of Language, Interviews with James McGilvray, by NOAM CHOMSKY, CAMBRIDGE, CAMBRIDGE UNIVERSITY PRESS, 2012, pp. vi+321, £ 15.99. Over the years some of the clearest expositions of Noam Chomsky’s views on language and vision for linguistics have taken the form of inter- views/discussions with experts on language and mind. I have in mind the conversations with Mitsou Ronat that led to Language and Responsibility (1979), or the set of interviews conducted by Henk van Riemsdijk and Riny Huybregts that made The generative enterprise (1982) possible, or the more recent exchange with Adriana Belletti and Luigi Rizzi at the heart of On Na- ture and language (2002). All of these are, in my opinion, core documents to understand Chomsky’s take on language. The science of language, where Noam Chomsky converses with McGill University philosopher of language James McGilvray, is likely to find its niche among the distinguished set of interviews mentioned above, although I should point out right away that I don’t think it reaches the level of its prede- cessors, for reasons I will detail below. The core of the volume is a transcript of “four discussion/interview ses- sions” [p. 3] that took place in 2004, complemented with a follow-up inter- view carried out in January 2009. The interviews are divided into two parts (“The science of language and mind” and “Human nature and its study”), with each one further divided into themes (‘chapters’), although many of the same themes are addressed in multiple chapters. -
Statistics Learning and Universal Grammar: Modeling Word Segmentation
Statistics Learning and Universal Grammar: Modeling Word Segmentation Timothy Gambell Charles Yang 59 Bishop Street Department of Linguistics, Yale University New Haven, CT 06511 New Haven, CT 06511 USA USA [email protected] [email protected] Abstract vision of labor between endowment and learning± plainly, things that are built in needn't be learned, This paper describes a computational model of word and things that can be garnered from experience segmentation and presents simulation results on re- needn't be built in. alistic acquisition In particular, we explore the ca- The important paper of Saffran, Aslin, & New- pacity and limitations of statistical learning mecha- port [8] on statistical learning (SL), suggests that nisms that have recently gained prominence in cog- children may be powerful learners after all. Very nitive psychology and linguistics. young infants can exploit transitional probabilities between syllables for the task of word segmenta- 1 Introduction tion, with only minimum exposure to an arti®cial Two facts about language learning are indisputable. language. Subsequent work has demonstrated SL First, only a human baby, but not her pet kitten, can in other domains including arti®cial grammar learn- learn a language. It is clear, then, that there must ing [9], music [10], vision [11], as well as in other be some element in our biology that accounts for species [12]. This then raises the possibility of this unique ability. Chomsky's Universal Grammar learning as an alternative to the innate endowment (UG), an innate form of knowledge speci®c to lan- of linguistic knowledge [13]. -
Universal Grammar
Universal Grammar: the history of an idea John Goldsmith March 2, 2010 The term universal grammar first arose (to my knowledge) in 17th century France, in the context of the Port Royal grammarians. But in trying to look back at earlier work, we have to be careful and to bear in mind that until recently, there was no effort made to separate (or even distinguish between) those charac- teristics of language that followed from the nature of thought and/or logic, and those characteristics that do not. A warning about the term deep structure: a term that goes back to Hockett (1958), who wrote of deep grammar. The term was used through Aspects of the Theory of Syntax (Chomsky 1965), and widely misunderstood by people who did not bother to read the book. Deep structure, in Chomsky’s model, has nothing to do with meaning or with what is common across languages. Deep structure corre- sponds to a kind of structurally regular description of a particular language; it is a simplification of surface patterns, and the difference between the observed (surface) patterns and this deep structure are the result of the effect of transfor- mations, which are different in character from the phrase-structure rules which generate deep structures (in this model). phrase-structure rules deep structure of a sentence meaning transformations surface structure of a sentence Katz-Postal-generative semantics hypothesis: deep structures are also meaning representations. Chomsky was unimpressed. Nativism and innatism: in some quar- ters nativism is associated with a sci- 1. UG innatist Hypothesis: Human beings are endowed from birth (if not be- entific reliance on genetics and/or cognitive psychology, while innatism fore!) with some forms of knowledge that did not come from or through goes back to Plato. -
Evans-Levinson BBS 2009.Pdf
BEHAVIORAL AND BRAIN SCIENCES (2009) 32, 429–492 doi:10.1017/S0140525X0999094X The myth of language universals: Language diversity and its importance for cognitive science Nicholas Evans Department of Linguistics, Research School of Asian and Pacific Studies, Australian National University, ACT 0200, Australia [email protected] http://rspas.anu.edu.au/people/personal/evann_ling.php Stephen C. Levinson Max Planck Institute for Psycholinguistics, Wundtlaan 1, NL-6525 XD Nijmegen, The Netherlands; and Radboud University, Department of Linguistics, Nijmegen, The Netherlands [email protected] http://www.mpi.nl/Members/StephenLevinson Abstract: Talk of linguistic universals has given cognitive scientists the impression that languages are all built to a common pattern. In fact, there are vanishingly few universals of language in the direct sense that all languages exhibit them. Instead, diversity can be found at almost every level of linguistic organization. This fundamentally changes the object of enquiry from a cognitive science perspective. This target article summarizes decades of cross-linguistic work by typologists and descriptive linguists, showing just how few and unprofound the universal characteristics of language are, once we honestly confront the diversity offered to us by the world’s 6,000 to 8,000 languages. After surveying the various uses of “universal,” we illustrate the ways languages vary radically in sound, meaning, and syntactic organization, and then we examine in more detail the core grammatical machinery of recursion, constituency, and grammatical relations. Although there are significant recurrent patterns in organization, these are better explained as stable engineering solutions satisfying multiple design constraints, reflecting both cultural-historical factors and the constraints of human cognition. -
Universal Grammar, Statistics Or Both?
Opinion TRENDS in Cognitive Sciences Vol.8 No.10 October 2004 Universal Grammar, statistics or both? Charles D. Yang Department of Linguistics and Psychology, Yale University, 370 Temple Street 302, New Haven, CT 06511, USA Recent demonstrations of statistical learning in infants division of labor between endowment and learning: have reinvigorated the innateness versus learning plainly, things that are built in need not be learned, and debate in language acquisition. This article addresses things that can be garnered from experience need not these issues from both computational and developmen- be built in. tal perspectives. First, I argue that statistical learning The influential work of Saffran, Aslin and Newport [8] using transitional probabilities cannot reliably segment on statistical learning (SL) suggests that children are words when scaled to a realistic setting (e.g. child- powerful learners. Very young infants can exploit transi- directed English). To be successful, it must be con- tional probabilities between syllables for the task of word strained by knowledge of phonological structure. Then, segmentation, with only minimal exposure to an artificial turning to the bona fide theory of innateness – the language. Subsequent work has demonstrated SL in other Principles and Parameters framework – I argue that a full domains including artificial grammar, music and vision, explanation of children’s grammar development must as well as SL in other species [9–12]. Therefore, language abandon the domain-specific learning model of trigger- learning is possible as an alternative or addition to the ing, in favor of probabilistic learning mechanisms that innate endowment of linguistic knowledge [13]. might be domain-general but nevertheless operate in This article discusses the endowment versus learning the domain-specific space of syntactic parameters.