Relationship Between Syntactic Production and Comprehension
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What Is the Relationship Between Language Production and Comprehension?
Journal of Memory and Language 89 (2016) 1–7 Contents lists available at ScienceDirect Journal of Memory and Language journal homepage: www.elsevier.com/locate/jml Editorial Same, different, or closely related: What is the relationship between language production and comprehension? The historical tradition in psycholinguistics has largely became a hot issue through Lee’s (1950) discovery of the been to study either language production or comprehen- delayed auditory feedback (DAF) effect. When you hear your sion. Almost all of nineteenth century psycholinguistics, own speech delayed by some 150 ms, speech fluency dra- for instance, concerned the production of language, culmi- matically breaks down. Based on these observations, Lee nating in Wundt’s two-volume Die Sprache of 1900. This designed an engineering model of self-monitoring, which also held for research in language acquisition which, lar- required feedback to take place within the syllable being gely based on diary data, almost exclusively concerned spoken. the child’s production of speech until Eimas, Siqueland, Almost simultaneously, Broadbent (1952) demon- Jusczyk, and Vigorito (1971) introduced the experimental strated that participants were unable to understand a study of speech perception in infants. During the 1970s new question while answering a previous question. Atten- psycholinguistics became almost exclusively comprehen- tion can focus on one or the other task, but not on both sion research. Johnson-Laird opened his review of experi- simultaneously. This insight led to Broadbent’s famous fil- mental psycholinguistics in the 1974 Annual Review of ter model of selective attention. The issue kept returning in Psychology with the statement: ‘‘The fundamental problem psycholinguistics. -
Scaffolding Learning of Language Structures with Visual‐Syntactic Text
UC Irvine UC Irvine Previously Published Works Title Scaffolding learning of language structures with visual-syntactic text formatting Permalink https://escholarship.org/uc/item/6235t25b Journal British Journal of Educational Technology, 50(4) ISSN 0007-1013 Authors Park, Y Xu, Y Collins, P et al. Publication Date 2018 DOI 10.1111/bjet.12689 Peer reviewed eScholarship.org Powered by the California Digital Library University of California British Journal of Educational Technology Vol 0 No 0 2018 1–17 doi:10.1111/bjet.12689 Scaffolding learning of language structures with visual-syntactic text formatting Youngmin Park, Ying Xu , Penelope Collins, George Farkas and Mark Warschauer Youngmin Park is a Lecturer at Pusan National University, Korea. She received her Ph.D. degree from the University of California, Irvine, specializing in Language, Literacy and Technology. Ying Xu is a Ph.D. student at the University of California, Irvine, with a specialization in specializing in Language, Literacy and Technology. Penelope Collins is an associate professor at the University of California, Irvine. Her research examines the development of language and literacy skills for children from linguistically diverse backgrounds. George Farkas is a professor at the University of California, Irvine. He has employed a range of statistical approaches and databases to examine the causes and consequences of reading achievement gap across varying age groups and educational settings. Mark Warschauer is a professor at the University of California, Irvine. He works on a range of research projects related to digital media in education. Address for correspondence: Ying Xu, University of California Irvine, 3200 Education Bldg, Irvine, CA 92697, USA. -
Chapter 7 Linguistics As a Science of Structure Ryan M
Chapter 7 Linguistics as a science of structure Ryan M. Nefdt University of the Western Cape Generative linguistics has rapidly changed during the course of a relatively short period. This has caused many to question its scientific status as a realist scientific theory (Stokhof & van Lambalgen 2011; Lappin et al. 2000). In this chapter, I argue against this conclusion. Specifically, I claim that the mathematical foundations of the science present a different story below the surface. I agree with critics that due to the major shifts in theory over the past 80 years, linguistics is indeed opened up to the problem of pessimistic meta-induction or radical theory change. However, I further argue that a structural realist approach (Ladyman 1998; French 2006) can save the field from this problem and at the same time capture its structural nature. I discuss particular historical instances of theory change in generative grammar as evidence for this interpretation and finally attempt to extend it beyond the gener- ative tradition to encompass previous frameworks in linguistics. 1 Introduction The generativist revolution in linguistics started in the mid-1950s, inspired in large part by insights from mathematical logic and in particular proof theory. Since then, generative linguistics has become a dominant paradigm, with many connections to both the formal and natural sciences. At the centre of the newly established discipline was the syntactic or formal engine, the structures of which were revealed through modelling grammatical form. The generativist paradigm in linguistics initially relied heavily upon the proof-theoretic techniques intro- duced by Emil Post and other formal logicians to model the form language takes (Tomalin 2006; Pullum 2011; 2013).1 Yet despite these aforementioned formal be- ginnings, the generative theory of linguistics has changed its commitments quite 1Here my focus will largely be on the formal history of generative syntax but I will make some comments on other aspects of linguistics along the way. -
The Pervasive Role of Pragmatics in Early Language
The pervasive role of pragmatics in early language Manuel Bohn Department of Psychology, Stanford University, Leipzig Research Center for Early Child Development, Leipzig University https://orcid.org/0000-0001-6006-1348 Michael C. Frank Department of Psychology, Stanford University https://orcid.org/0000-0002-7551-4378 Short Title: Pragmatics in early language Author’s Note: We thank Erica Yoon and Bahar Köymen for comments on an earlier version of this paper. MB received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 749229. MCF received funding from the Jacobs Foundation Research Fellowship program. Please address correspondence to [email protected]. 1 Abstract Language is a fundamentally social endeavor. Pragmatics is the study of how speakers and listeners use social reasoning to go beyond the literal meanings of words to interpret language in context. In this review, we take a pragmatic perspective on language development and argue for developmental continuity between early non-verbal communication, language learning, and linguistic pragmatics. We link phenomena from these different literatures by relating them to a computational framework (the rational speech act framework), which conceptualizes communication as fundamentally inferential and grounded in social cognition. The model specifies how different information sources (linguistic utterances, social cues, common ground) are combined when making pragmatic inferences. We present evidence in favor of this inferential view and review how pragmatic reasoning supports children’s learning, comprehension, and use of language. Keywords: Language development; Social cognition; Pragmatics; Computational modeling; Communication 2 Introduction From a toddler pointing at a toy and saying “dat!” all the way to a lukewarm letter of recommendation, human beings use language to communicate an infinite range of meanings both flexibly and efficiently. -
Syntactic Structures and Their Symbiotic Guests. Notes on Analepsis from the Perspective of On- Line Syntax*
Pragmatics 24:3.533-560 (2014) International Pragmatics Association DOI: 10.1075/prag.24.3.05aue SYNTACTIC STRUCTURES AND THEIR SYMBIOTIC GUESTS. NOTES ON ANALEPSIS FROM THE PERSPECTIVE OF ON- LINE SYNTAX* Peter Auer Abstract The empirical focus of this paper is on utterances that re-use syntactic structures from a preceding syntactic unit. Next utterances of this type are usually treated as (coordination) ellipsis. It is argued that from an on-line perspective on spoken syntax, they are better described as structural latency: A grammatical structure already established remains available and can therefore be made use of with one or more of its slots being filled by new material. A variety of cases of this particular kind of conversational symbiosis are discussed. It is argued that they should receive a common treatment. A number of features of the general host/guest relationship are discussed. Keywords: Analepsis; On-line syntax; Structural latency. "Ein Blick in die erste beste Erzählung und eine einfache Ueberlegung muss beweisen, dass jede frühere Aeusserung des Erzählenden die Exposition aller nachfolgenden Prädikate bildet." (Wegener 1885: 46)1 1. Introduction The notion of 'ellipsis' is often regarded with some skepticism by Interactional Linguists - the orientation to 'full' sentences is all too obvious (cf. Selting 1997), and the idea that speakers produce complete sentences just in order to delete some parts of them afterwards surely fails to account for the processual dynamics of sentence production and understanding (cf. Kindt 1985) in time. On the other hand, there can be little doubt that speakers often produce utterance units that could not be understood * I wish to thank Elizabeth Couper-Kuhlen and Susanne Günthner for their helpful comments on a previous version of this paper. -
LING83600: Context-Free Grammars
LING83600: Context-free grammars Kyle Gorman 1 Introduction Context-free grammars (or CFGs) are a formalization of what linguists call “phrase structure gram- mars”. The formalism is originally due to Chomsky (1956) though it has been independently discovered several times. The insight underlying CFGs is the notion of constituency. Most linguists believe that human languages cannot be even weakly described by CFGs (e.g., Schieber 1985). And in formal work, context-free grammars have long been superseded by “trans- formational” approaches which introduce movement operations (in some camps), or by “general- ized phrase structure” approaches which add more complex phrase-building operations (in other camps). However, unlike more expressive formalisms, there exist relatively-efficient cubic-time parsing algorithms for CFGs. Nearly all programming languages are described by—and parsed using—a CFG,1 and CFG grammars of human languages are widely used as a model of syntactic structure in natural language processing and understanding tasks. Bibliographic note This handout covers the formal definition of context-free grammars; the Cocke-Younger-Kasami (CYK) parsing algorithm will be covered in a separate assignment. The definitions here are loosely based on chapter 11 of Jurafsky & Martin, who in turn draw from Hopcroft and Ullman 1979. 2 Definitions 2.1 Context-free grammars A context-free grammar G is a four-tuple N; Σ; R; S such that: • N is a set of non-terminal symbols, corresponding to phrase markers in a syntactic tree. • Σ is a set of terminal symbols, corresponding to words (i.e., X0s) in a syntactic tree. • R is a set of production rules. -
Generative Linguistics and Neural Networks at 60: Foundation, Friction, and Fusion*
Generative linguistics and neural networks at 60: foundation, friction, and fusion* Joe Pater, University of Massachusetts Amherst October 3, 2018. Abstract. The birthdate of both generative linguistics and neural networks can be taken as 1957, the year of the publication of foundational work by both Noam Chomsky and Frank Rosenblatt. This paper traces the development of these two approaches to cognitive science, from their largely autonomous early development in their first thirty years, through their collision in the 1980s around the past tense debate (Rumelhart and McClelland 1986, Pinker and Prince 1988), and their integration in much subsequent work up to the present. Although this integration has produced a considerable body of results, the continued general gulf between these two lines of research is likely impeding progress in both: on learning in generative linguistics, and on the representation of language in neural modeling. The paper concludes with a brief argument that generative linguistics is unlikely to fulfill its promise of accounting for language learning if it continues to maintain its distance from neural and statistical approaches to learning. 1. Introduction At the beginning of 1957, two men nearing their 29th birthdays published work that laid the foundation for two radically different approaches to cognitive science. One of these men, Noam Chomsky, continues to contribute sixty years later to the field that he founded, generative linguistics. The book he published in 1957, Syntactic Structures, has been ranked as the most influential work in cognitive science from the 20th century.1 The other one, Frank Rosenblatt, had by the late 1960s largely moved on from his research on perceptrons – now called neural networks – and died tragically young in 1971. -
Chapter 15 Second Language Acquisition
Chapter 15 Second Language Acquisition Dorothy Chun and Jan Frodesen Key Terms • Automaticity • Communicative competence • Critical period hypothesis • Interaction hypothesis • Interlanguage • Nativist theories of SLA • Sociocultural theories of SLA Chapter Preview As we have seen in earlier chapters, language is a complex array of many different components, ranging from individual sounds to whether a particular utterance or sentence is appropriate in a given situation or culture. In this chapter we will look at the issues involved in learning or acquiring a second language as an adolescent or adult learner. The main question with regard to second language acquisition (SLA) is: Why do people acquire a first language with little conscious effort while it is so difficult to master all of the aspects of a second language and speak it like a native speaker? This chapter will first discuss the main linguistic issues with regard to how second languages are acquired (e.g., phonology, morphology, syntax, lexicon/vocabulary, pragmatics). It will then describe some of the influences from the field of psychology on the study of second language acquisition and will examine the cognitive processes that differ between first-language (L1) and second-language (L2) learning. Thirdly, the chapter will consider how social and affective issues of L2 learning have come to the forefront in the last decade of the 20th century and into the 21st century. Finally, interspersed throughout the chapter are discussions of the 1 relationship between current knowledge about how second languages are acquired and the practice of language teaching, including some of the current issues in language teaching, especially those arising from increased globalization. -
1 the Origins of Language
Cambridge University Press 978-1-108-49945-3 — The Study of Language George Yule Excerpt More Information 1 The Origins of Language The first person to set foot on the continent of Australia was a woman named Warramurrungunji. She emerged from the sea onto an island off northern Australia, and then headed inland, creating children and putting each one in a specific place. As she moved across the landscape, Warramurrungunji told each child, “I am putting you here. This is the language you should talk! This is your language!” Erard (2016) This origin story from the Iwaidja people of Australia, illustrated in the painting above, offers an explanation of not only where language came from, but also why there are so many different languages. Among the English-speaking people, there have been multiple attempts to provide a comparable explanation, but not much proof to support any of them. Instead of a belief in a single mythical earth mother, we have a variety of possible beliefs, all fairly speculative. We simply don’t have a definitive answer to the question of how language originated. We do know that the ability to produce sound and simple vocal patterning (a hum versus a grunt, for example) appears to be in an ancient part of the brain that we share with all vertebrates, including fish, frogs, birds and other mammals. But that isn’t human language. We suspect that some type of spoken language must have developed between 100,000 and 50,000 years ago, well before written language (about 5,000 years ago). -
Phd Handbook in Linguistics
The PhD program in Linguistics Table of Contents The PhD program in Linguistics 2 Graduate work in the Department of Linguistics 2 Graduate Courses in Linguistics 3 Graduate Introductory courses (400-level) 3 Graduate Core courses (400-level) 4 Advanced Graduate Courses (500-level) 4 Linguistics Requirements for PhD students 5 Planning the PhD degree program of study 5 Pre-Qualifying 5 Qualifying for Advancement to Candidacy for PhD students 5 Timing 6 Teaching Assistantships 6 Sample Schedules for a Linguistics PhD 7 Sample Linguistics and Brain and Cognitive Sciences schedule 7 Sample Linguistics and Computer Science (LIN/CS) schedule. 8 Course Descriptions 9 Linguistics 9 Relevant Brain and Cognitive Science Graduate Courses 14 Relevant Computer Science Graduate Courses 16 1 The PhD program in Linguistics The PhD program in Linguistics The Department of Linguistics at the University of Rochester offers a fully-funded five year PhD program in Linguistics, focusing on cross-disciplinary training and collaboration. Students in this program have a primary affiliation in Linguistics, with secondary affiliation in an allied department. At Rochester, cross-disciplinary, collaborative work is the norm. The Linguistics faculty are grounded in the traditional fields of formal linguistics, employing empirical methodologies to examine data and topics in experimental syntax, semantics, pragmatics, phonetics, laboratory phonology, and morphology in collaboration with faculty and students in allied fields. Our work incorporates contemporary issues and practices in these areas. Our principal allied fields are Brain and Cognitive Sciences and Computer Science, but we also have strong connections in related departments, such as Biomedical Engineering and departments at the Eastman School of Music. -
The Chomsky Enigma
Weekly Worker 655 - Thursday January 4 2007 18/08/2010 11:07 Weekly Worker 655 Thursday January 11 2007 Subscribe to the Weekly Worker 18:08:201004:05:2009 The Chomsky home contact enigma action weekly worker respect the unity coalition How is that a powerful critic of US imperialism european social forum has been regarded as a valued asset by the US theory military? In the first of three articles Chris Knight resources of the Radical Anthropology Group begins his what we fight for examination of the life and work of Noam programme Chomsky join Noam Chomsky ranks among the leading intellectual search figures of modern times. He has changed the way we Fighting fund think about what it means to be human, gaining a communist university position in the history of ideas - at least according to On the links his supporters - comparable with that of Galileo, Descartes or Newton. Since launching his intellectual our history assault against the academic orthodoxies of the move 1950s, he has succeeded - almost single-handedly - in revolutionising linguistics and establishing it as a modern science. Our January fund has received an early boost with a handsome Such intellectual victories, however, have come at a £100 donation from comrade GD. cost. The stage was set for the “linguistics wars”1 Which is very handy, as when Chomsky published his first book. He might as circumstances have conspired to well have thrown a bomb. “The extraordinary and force us to change premises - an traumatic impact of the publication of Syntactic expensive business, as readers structures by Noam Chomsky in 1957,” recalls one will know. -
21 Chapter I Language Production 1.1 Introduction in This Chapter It Will Be
Chapter I Language production 1.1 Introduction In this chapter it will be seen that both models of L1 production as well as accounts of L2 production can shed light on what happens with L2 performance. In particular, this chapter will aim to provide an answer to the following four questions: i) How is language produced? ii) How does L2 production differ from L1 production? iii) How do attention and memory mediate L2 production and development? iv) How can engaging in production potentially lead to second language development? In order to understand how L2 production works we first need to understand how L1 operates, and so L1 production will be considered in the first part of this chapter. Levelt’s (1989) L1 production model will be used as the main reference. Special emphasis will be placed on the areas of message generation, retrieval of lexical items, message formulation, and self-monitoring, with only a more limited consideration of articulation and speech comprehension. In the second part of the chapter, from a number of accounts of L2 production, those aspects that distinguish 21 it from L1 production will be pointed out, and lexical access, grammatical encoding, and self-monitoring will receive special attention. After that, the underlying constructs of attention and memory will be discussed. Regarding attention, the ideas of limited resources, selection, and capacity will be outlined, and the aspects most directly related to production will be underlined. The architecture and processes of memory will be presented, and the distinction between working memory (WM) and long-term memory (LTM) will be established.