| 000 | 00916camuu2200253 a 4500 | |
| 001 | 000000646252 | |
| 005 | 19990928115058 | |
| 008 | 980601s1998 caua b 001 0 eng | |
| 010 | ▼a 98026880 | |
| 020 | ▼a 1575861518 (acid-free paper) | |
| 020 | ▼a 157586150X (pbk. : acid-free paper) | |
| 040 | ▼a DLC ▼c DLC | |
| 049 | ▼a OCLC ▼l 111137073 | |
| 050 | 0 0 | ▼a P138.5 ▼b .B63 1998 |
| 082 | 0 0 | ▼a 410/.2/1 ▼2 21 |
| 090 | ▼a 410.21 ▼b B666b | |
| 100 | 1 | ▼a Bod, Rens, ▼d 1965- |
| 245 | 1 0 | ▼a Beyond grammar : ▼b an experience-based theory of language / ▼c Rens Bod. |
| 260 | ▼a Stanford, Calif. : ▼b Center for the Study of Language and Information, [Stanford University], ▼c c1998. | |
| 300 | ▼a xiii, 168 p. : ▼b ill. ; ▼c 23 cm. | |
| 504 | ▼a Includes bibliographical references (p. 146-162) and index. | |
| 650 | 0 | ▼a Linguistics ▼x Statistical methods. |
| 650 | 0 | ▼a Computational linguistics. |
Holdings Information
| No. | Location | Call Number | Accession No. | Availability | Due Date | Make a Reservation | Service |
|---|---|---|---|---|---|---|---|
| No. 1 | Location Main Library/Western Books/ | Call Number 410.21 B666b | Accession No. 111137073 | Availability Available | Due Date | Make a Reservation | Service |
Contents information
Author Introduction
렌스 보드(지은이)
암스테르담 대학교 디지털 인문학부와 인문학 역사학부의 교수로 재직 중이다. 그는 인문학을 컴퓨터사용의 측면과 세계 역사의 측면에서 동시에 연구한다. 그는 현재 ‘인문학의 역사’ 학회 회장을 맡고 있으며, 네덜란드 인문학과 과학 왕립학회 회원이다. 저서로는 《문법을 넘어서》Beyond Grammar(1998), 《Probabilistic Linguistics》(2003), 《Data-Oriented Parsing》(2003), 《The Forgotten Sciences》(2010), 《The History of Knowledge》(2019)가 있다. 《인문학의 새로운 역사》A New History of the Humanities(영문판, 2013)는 그의 대표작으로, 네덜란드어판이 2011년에 케니스링크Kennislink 최우수 과학도서로 선정되었으며, 8개 국어로 번역되었다. *한국에 출판된 책은 《문법을 넘어서》와 《인문학의 새로운 역사》
Table of Contents
CONTENTS Preface = xi 1 Introduction : what are the productive units of natural language ? = 1 1 A probabilistic approach to language = 2 2 Stochastic grammars and the problem of productive unit size = 4 3 The Data-Oriented Parsing framework : productivity from examples = 5 4 Language comprehension vs language production = 7 5 Evaluation of DOP models = 9 6 Overview of this book = 10 2 An experience-based model for phrase-structure representations = 12 1 Representations = 12 2 Fragments = 13 3 Composition operations = 14 4 Probability calculation = 16 3 Formal Stochastic Language Theory = 24 1 A formal language theory of stochastic grammars = 24 2 DOP1 as a Stochastic Tree-Substitution Grammar = 26 3 A comparison between Stochastic Tree-Substitution Grammar and Stochastic Context-Free Grammar = 27 4 Other stochastic grammars = 33 4.1 Stochastic History-Based Grammar(SHBG) = 33 4.2 Stochastic Lexicalized Tree-Adjoining Grammar(SLTAG) = 36 4.3 Other stochastic lexicalized grammars = 37 5 Open questions = 38 4 Parsing and disambiguation = 40 1 Parsing = 40 2 Disambiguation = 43 2.1 Viterbi optimization is not applicable to finding the most probable parse = 43 2.2 Monte Carlo disambiguation : estimating the most probable parse by sampling random derivations = 45 2.3 Cognitive aspects of Monte Carlo disambiguation = 49 5 Testing the model : can we restrict the productive units ? = 51 1 The test environment = 51 2 The base line = 53 3 The impact of overlapping fragments = 53 4 The impact of fragment size = 54 5 The impact of fragment lexicalization = 55 6 The impact of fragment frequency = 57 7 The impact of non-head words = 58 8 Overview of the derived properties and discussion = 64 6 Learning new words = 69 1 The model DOP2 = 69 2 Experiments with DOP2 = 70 3 Evaluation : what goes wrong? = 72 4 The problem of unknown-category words = 79 7 Learning new structures = 81 1 The problem of unknown structures = 81 2 Good-Turing : estimating the population frequencies of (un)seen types = 84 3 Using Good-Turing to adjust the frequencies of subtrees = 85 4 The model DOP3 = 88 5 Cognitive aspects of DOP3 = 88 6 Experiments with DOP3 = 90 8 An experience-based model for compositional semantic representations = 95 1 Incorporating semantic interpretation = 95 1.1 Assuming surface compositionality = 96 1.2 Not assuming surface compositionality : partial annotations = 104 1.3 The probability model of semantic DOP = 107 2 Extending DOP to discourse and recency = 109 9 Speech understanding and dialogue processing = 112 1 The OVIS corpus : trees enriched with compositional frame semantics = 112 2 Using the OVIS corpus for data-oriented semantic analysis = 116 3 Extending DOP to dialogue context : context-dependent subcorpora = 118 4 Interfacing DOP with speech = 119 5 Experiments = 122 10 Experience-based models for non-context-free representations = 126 1 A DOP model for Lexical-Functional representations = 126 1.1 Representations = 126 1.2 Fragments = 128 1.3 The composition operation = 131 1.4 Probability models = 134 2 Illustration and properties of LFG-DOP = 138 Conclusion : linguistics revisited = 144 References = 146 Index = 163
