Creation Myths of Generative Grammar and the Mathematics of Syntactic Structures?
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
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. -
Syntax III Assignment I (Team B): Transformations Julie Winkler
Syntax III Assignment I (Team B): Transformations Julie Winkler, Andrew Pedelty, Kelsey Kraus, Travis Heller, Josue Torres, Nicholas Primrose, Philip King A layout of this paper: I. Transformations! An Introduction a. What b. Why c. What Not II. A-Syntax: Operations on Arguments Pre-Surface Structure III. Morphology: Form and Function a. Lexical assumptions: b. VP Internal Subject Raising Hypothesis c. Form Rules d. Morpho-Syntactic Rules: e. Further Questions IV. A-Bar Syntax a. Not A-Syntax: Movement on the Surface. b. Islands c. Features & Percolation: Not Just for Subcats d. Successive Cyclic Movement V. Where Do We Go From Here? a. Summary 1 I. Introduction Before going into the specifics of transformational syntax as we've learned it, it behooves us to consider transformations on a high level. What are they, how do they operate, and, very importantly, why do we have them? We should also make a distinction regarding the purpose of this paper, which is not to provide a complete or authoritative enumeration of all transformational operations (likely an impossible endeavour), but rather to investigate those operations and affirm our understanding of the framework in which they exist. I. a. What What are transformations? A transformation (Xn) takes an existing syntactic structure and renders a new construction by performing one or more of the following three operations upon it: movement, deletion, or insertion. These operations are constrained by a number of rules and traditionally adhered-to constraints. Furthermore, it has been mentioned that semi- legitimate syntactic theories have eschewed certain of these operations while retaining sufficient descriptive power. -
Introduction to Transformational Grammar
Introduction to Transformational Grammar Kyle Johnson University of Massachusetts at Amherst Fall 2004 Contents Preface iii 1 The Subject Matter 1 1.1 Linguisticsaslearningtheory . 1 1.2 The evidential basis of syntactic theory . 7 2 Phrase Structure 15 2.1 SubstitutionClasses............................. 16 2.2 Phrases .................................... 20 2.3 Xphrases................................... 29 2.4 ArgumentsandModifiers ......................... 41 3 Positioning Arguments 57 3.1 Expletives and the Extended Projection Principle . ..... 58 3.2 Case Theory and ordering complements . 61 3.3 Small Clauses and the Derived Subjects Hypothesis . ... 68 3.4 PROandControlInfinitives . .. .. .. .. .. .. 79 3.5 Evidence for Argument Movement from Quantifier Float . 83 3.6 Towards a typology of infinitive types . 92 3.7 Constraints on Argument Movement and the typology of verbs . 97 4 Verb Movement 105 4.1 The “Classic” Verb Movement account . 106 4.2 Head Movement’s role in “Verb Second” word order . 115 4.3 The Pollockian revolution: exploded IPs . 123 4.4 Features and covert movement . 136 5 Determiner Phrases and Noun Movement 149 5.1 TheDPHypothesis ............................. 151 5.2 NounMovement............................... 155 Contents 6 Complement Structure 179 6.1 Nouns and the θ-rolestheyassign .................... 180 6.2 Double Object constructions and Larsonian shells . 195 6.3 Complement structure and Object Shift . 207 7 Subjects and Complex Predicates 229 7.1 Gettingintotherightposition . 229 7.2 SubjectArguments ............................. 233 7.2.1 ArgumentStructure ........................ 235 7.2.2 The syntactic benefits of ν .................... 245 7.3 The relative positions of µP and νP: Evidence from ‘again’ . 246 7.4 The Minimal Link Condition and Romance causatives . 254 7.5 RemainingProblems ............................ 271 7.5.1 The main verb in English is too high . -
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. -
Processing English with a Generalized Phrase Structure Grammar
PROCESSING ENGLISH WITH A GENERALIZED PHRASE STRUCTURE GRAMMAR Jean Mark Gawron, Jonathan King, John Lamping, Egon Loebner, Eo Anne Paulson, Geoffrey K. Pullum, Ivan A. Sag, and Thomas Wasow Computer Research Center Hewlett Packard Company 1501 Page Mill Road Palo Alto, CA 94304 ABSTRACT can be achieved without detailed syntactic analysis. There is, of course, a massive This paper describes a natural language pragmatic component to human linguistic processing system implemented at Hewlett-Packard's interaction. But we hold that pragmatic inference Computer Research Center. The system's main makes use of a logically prior grammatical and components are: a Generalized Phrase Structure semantic analysis. This can be fruitfully modeled Grammar (GPSG); a top-down parser; a logic and exploited even in the complete absence of any transducer that outputs a first-order logical modeling of pragmatic inferencing capability. representation; and a "disambiguator" that uses However, this does not entail an incompatibility sortal information to convert "normal-form" between our work and research on modeling first-order logical expressions into the query discourse organization and conversational language for HIRE, a relational database hosted in interaction directly= Ultimately, a successful the SPHERE system. We argue that theoretical language understanding system wilt require both developments in GPSG syntax and in Montague kinds of research, combining the advantages of semantics have specific advantages to bring to this precise, grammar-driven analysis of utterance domain of computational linguistics. The syntax structure and pragmatic inferencing based on and semantics of the system are totally discourse structures and knowledge of the world. domain-independent, and thus, in principle, We stress, however, that our concerns at this highly portable. -
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. -
Generative Linguistics Within the Cognitive Neuroscience of Language Alec Marantz
Generative linguistics within the cognitive neuroscience of language Alec Marantz Department of Linguistics and Philosophy, MIT Standard practice in linguistics often obscures the connection between theory and data, leading some to the conclusion that generative linguistics could not serve as the basis for a cognitive neuroscience of language. Here the foundations and methodology of generative grammar are clarified with the goal of explaining how generative theory already functions as a reasonable source of hypotheses about the representation and computation of language in the mind and brain. The claims of generative theory, as exemplified, e.g., within Chomsky’s (2000) Minimalist Program, are contrasted with those of theories endorsing parallel architectures with independent systems of generative phonology, syntax and semantics. The single generative engine within Minimalist approaches rejects dual routes to linguistic representations, including possible extra-syntactic strategies for semantic structure-building. Clarification of the implications of this property of generative theory undermines the foundations of an autonomous psycholinguistics, as established in the 1970’s, and brings linguistic theory back to the center of a unified cognitive neuroscience of language. 2 1. The place of linguistics* The first decade of the 21st century should be a golden era for the cognitive neuroscience of language. Fifty years of contemporary linguistic analysis of language can be coupled with a wide range of brain imaging and brain monitoring machines to test hypotheses and refine theory and understanding. However, there is still a gulf between mainstream linguistics within the generative linguistic tradition and most of those engaged in experimental cognitive neuroscience research. Some have argued that the fault here lies with the linguists, whose generative theories are based in principle on separating the study of linguistic representations from research on the acquisition and use of language in the minds and brains of speakers. -
3 Derivation and Representation in Modern Transformational Syntax
62 Howard Lasnik 3 Derivation and Representation in Modern Transformational Syntax HOWARD LASNIK 0 Introduction The general issue of derivational vs. representational approaches to syntax has received considerable attention throughout the history of generative gram- mar. Internal to the major derivational approach, transformational grammar, a related issue arises: are well-formedness conditions imposed specifically at the particular levels of representation1 made available in the theory, or are they imposed “internal” to the derivation leading to those levels? This second question will be the topic of this chapter. Like the first question, it is a subtle one, perhaps even more subtle than the first, but since Chomsky (1973), there has been increasing investigation of it, and important argument and evidence have been brought to bear. I will be examining a range of arguments, some old and some new, concerning (i) locality constraints on movement, and (ii) the property forcing (overt) movement, especially as this issue arises within the “minimalist” program of Chomsky (1995b). 1 Locality of Movement: Subjacency and the ECP The apparent contradiction between unbounded movement as in (1) and strict locality as in (2) has long played a central role in syntactic investigations in general and studies of the role of derivation in particular: (1) Who do you think Mary said John likes (2) ?*Who did you ask whether Mary knows why John likes Based on the unacceptability of such examples as (2), Chomsky (1973), reject- ing earlier views (including the highly influential Ross 1967a) proposed that Derivation and Representation 63 long distance movement is never possible. (1) must then be the result of a series of short movements, short movements that are, for some reason, not available in the derivation of (2). -
66 EMPTY CATEGORIES in TRANSFORMATIONAL RULES Abstract
JL3T Journal of Linguistics, Literature & Language Teaching EMPTY CATEGORIES IN TRANSFORMATIONAL RULES Ruly Adha IAIN Langsa [email protected] Abstract There are three theories that are always developed in any study of language, namely theory of language structure, theory of language acquisition, and theory of language use. Among those three theories, theory of language structure is regarded as the most important one. It is assumed that if someone knows the structure of language, he/she can develop theories about how language is acquired and used. It makes Chomsky interested in developing the theory of language structure. Chomsky introduced a theory of grammar called Transformational Generative Grammar or Transformational Syntax. Transformational Syntax is a method of sentence fomation which applies some syntactic rules (or also called transformational rules). Transformational rules consist of three types, namely movement transformation, deletion transformation, and substitution transformation. When those transformational rules are applied in a sentence, they will leave empty categories. Empty categories can be in the form of Complementizer (Comp), Trace, and PRO. The objectives of this article are to elaborate those empty categories; to show their appearance in the transformational rules; and to describe the characteristics of each empty category. Comp, Trace, and PRO can be found in movement and deletion transformation. In this article, tree diagram and bracketing are used as the methods of sentence analysis. Keywords Empty Categories, Transformational Rules, Comp, Trace, PRO JL3T. Vol. V, No. 1 June 2019 66 JL3T Journal of Linguistics, Literature & Language Teaching INTRODUCTION Chomsky (in Radford, 1988) states that there are three inter-related theories which any detailed study of language ultimately seeks to develop, namely: 1. -
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.