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Choosing a grammar [electronic resource] : learning paths and ambiguous evidence in the acquisition of syntax

Choosing a grammar [electronic resource] : learning paths and ambiguous evidence in the acquisition of syntax

자료유형
E-Book(소장)
개인저자
Gould, Isaac, (Lingusist).
서명 / 저자사항
Choosing a grammar [electronic resource] : learning paths and ambiguous evidence in the acquisition of syntax / Isaac Gould.
발행사항
Amsterdam ;   Philadelphia :   John Benjamins Publishing Company,   2017.  
형태사항
1 online resource (x, 332 p.).
총서사항
Linguistik Aktuell/Linguistics Today (LA),0166-0829 ; volume 238
ISBN
9789027265913 (pdf) 9027265917 (pdf) 9789027257215 (hb ; alk. paper)
일반주기
Title from e-Book title page.  
Originally presented as the author's thesis (doctoral)--Linguistics, Massachusetts Institute of Technology, Department of Linguistics and Philosophy, 2015.  
내용주기
Choosing a Grammar; Editorial page; Title page; LCC data; Table of contents; Preface; 1. Introduction; 1. A model for language learning; 1.1 Core themes: A first look; 1.2 Revisiting the core themes: A look at some similar learning models; 2. The puzzle of ambiguous evidence; 2.1 Preliminary considerations; 2.2 The general case; 2.3 The subset case; 3. Ambiguous evidence and modeling learner errors and variability; 3.1 Errors; 3.2 Variability; 4. Ambiguity and development; 2. The learning model; 1. Introduction; 2. Overview of the model; 2.1 Introducing the model with two toy examples.
서지주기
Includes bibliographical references and index.
이용가능한 다른형태자료
Issued also as a book.  
일반주제명
Language acquisition --Case-studies. Language and languages --Syntax. Generative grammar --Case-studies. Analogy (Linguistics).
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040 ▼a DLC ▼b eng ▼e rda ▼e pn ▼c DLC ▼d N$T ▼d YDX ▼d IDEBK ▼d EBLCP ▼d MERUC ▼d UAB ▼d OCLCQ ▼d 211009
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100 1 ▼a Gould, Isaac, ▼c (Lingusist).
245 1 0 ▼a Choosing a grammar ▼h [electronic resource] : ▼b learning paths and ambiguous evidence in the acquisition of syntax / ▼c Isaac Gould.
260 ▼a Amsterdam ; ▼a Philadelphia : ▼b John Benjamins Publishing Company, ▼c 2017.
300 ▼a 1 online resource (x, 332 p.).
490 1 ▼a Linguistik Aktuell/Linguistics Today (LA), ▼x 0166-0829 ; ▼v volume 238
500 ▼a Title from e-Book title page.
500 ▼a Originally presented as the author's thesis (doctoral)--Linguistics, Massachusetts Institute of Technology, Department of Linguistics and Philosophy, 2015.
504 ▼a Includes bibliographical references and index.
505 0 ▼a Choosing a Grammar; Editorial page; Title page; LCC data; Table of contents; Preface; 1. Introduction; 1. A model for language learning; 1.1 Core themes: A first look; 1.2 Revisiting the core themes: A look at some similar learning models; 2. The puzzle of ambiguous evidence; 2.1 Preliminary considerations; 2.2 The general case; 2.3 The subset case; 3. Ambiguous evidence and modeling learner errors and variability; 3.1 Errors; 3.2 Variability; 4. Ambiguity and development; 2. The learning model; 1. Introduction; 2. Overview of the model; 2.1 Introducing the model with two toy examples.
505 8 ▼a 2.2 The learning procedure: A summary2.3 Ambiguous vs. unambiguous input; 2.4 Prior probabilities and the update procedure; 2.5 Generality of the model and learning results; 3. Comparison with other learning models; 3.1 Sakas and Fodor (2001): The Structural Triggers Learner; 3.2 Gibson and Wexler (1994): The Triggering Learning Algorithm; 3.3 Yang (2002): The Naïve Parameter Learner; 4. Summary; 3. The acquisition of verb movement in Swiss German; 1. Introduction; 2. The core data of verb placement in Swiss German; 2.1 Adult grammar; 2.2 Child productions; 3. Some possible analyses.
505 8 ▼a 3.1 Alternative #1: Overgeneralizing V2 in embedded clauses3.2 Alternative #2: Extraposition in embedded clauses; 3.3 Alternative #3: Overgeneralizing VR/VPR; 3.4 Schönenberger's analysis: Verb movement in embedded clauses; 4. A learning model for the acquisition puzzle; 4.1 Analysis of the adult and child grammars; 4.2 Overview of the model; 4.3 Insight of the model; 4.4 Predictions for the model; 5. Results and discussion; 5.1 Priors and update procedure; 5.2 Results; 5.3 A closer look at the acquisition data: The distribution of subjects in embedded clauses.
505 8 ▼a 6. Comparison with other learning models7. The broader German perspective; 8. The relation between input and learning; 9. Summary; 4. Head-finality and verb movement in Korean; 1. Introduction; 2. Modeling the effects of parameter interaction: The core example; 2.1 A schematic version of the model: Learning in a 3-parameter hypothesis space; 2.2 Results of the 3-parameter model; 3. Making the model more general: A simplified Korean; 3.1. Expanding the hypothesis space; 3.2 Expanding the corpus; 3.3 Predictions for the model.
505 8 ▼a 4. Han et al. (2007) and the current model: A deeper look at modeling end-state variability4.1 Review of Han et al. (2007); 4.2 Comparison of Han et al. (2007) and the current model; 4.3 Toward a unification of Han et al. (2007) and the current model; 5. Results and discussion; 5.1 Results of the 5-parameter model; 5.2 Variability with a probabilistic learner: A broader perspective; 6. Comparison with other models; 7. Constraining the model: A first attempt; 8. Summary; 5. The case of zero-derived causatives in English; 1. Introduction; 2. Pylkkänen (2008) and the learning challenge.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Language acquisition ▼x Case-studies.
650 0 ▼a Language and languages ▼x Syntax.
650 0 ▼a Generative grammar ▼x Case-studies.
650 0 ▼a Analogy (Linguistics).
830 0 ▼a Linguistik aktuell ; ▼v Bd. 238.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1536303
945 ▼a KLPA
991 ▼a E-Book(소장)

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No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/e-Book 컬렉션/ 청구기호 CR 418.0071 등록번호 E14007139 도서상태 대출불가(열람가능) 반납예정일 예약 서비스 M

컨텐츠정보

목차

Preface -- Introduction -- A model for language learning -- Core themes : a first look -- Revisiting the core themes : a look at some similar learning models -- The puzzle of ambiguous evidence -- Preliminary considerations -- The general case -- The subset case -- Ambiguous evidence and modeling learner errors and variability -- Errors -- Variability -- Ambiguity and development -- The learning model -- Introduction -- Overview of the model -- Introducing the model with two toy examples -- The learning procedure : a summary -- Ambiguous vs. unambiguous input -- Prior probabilities and the update procedure -- Generality of the model and learning results -- Comparison with other learning models -- Sakas and fodor (2001) : the structural triggers learner -- Gibson and wexler (1994) : the triggering learning algorithm -- Yang (2002) : the naive parameter learner -- Summary -- The acquisition of verb movement in swiss german : modeling child production errors and variability -- Introduction -- The core data of verb placement in Swiss German -- Adult grammar -- Child productions -- Some possible analyses -- Alternative #1 : overgeneralizing V2 in embedded clauses -- Alternative #2 : extraposition in embedded clauses -- Alternative #3 : overgeneralizing VR, VPR -- Schonenberger''s analysis : verb movement in embedded clauses -- A learning model for the acquisition puzzle -- Analysis of the adult and child grammars -- Overview of the model -- Insight of the model -- Predictions for the model -- Results and discussion -- Priors and update procedure -- Results -- A closer look at the acquisition data : the distribution of subjects in embedded clauses -- Comparison with other learning models -- The broader German perspective -- The relation between input and learning -- Summary -- Head-finality and verb movement in Korean : modeling variability and non-variability across learners -- Introduction -- Modeling the effects of parameter interaction : the core example -- A schematic version of the model : learning in a 3-parameter hypothesis space -- Results of the 3-parameter model -- Making the model more general : a simplified Korean -- Expanding the hypothesis space -- Expanding the corpus -- Predictions for the model -- Han et al. (2007) and the current model : a deeper look at modeling end-state variability -- Review of Han et al. (2007) -- Comparison of Han et al. (2007) and the current model -- Toward a unification of Han et al. (2007) and the current model -- Results and discussion -- Results of the 5-parameter model -- Variability with a probabilistic learner : a broader perspective -- Comparison with other models -- Constraining the model : a first attempt -- Summary -- The case of zero derived causatives in English : learning from implicit negative evidence -- Introduction -- Pylkkanen (2008) and the learning challenge -- Review of pylkkanen (2008) -- The learning challenge -- Addressing the challenge -- Learning from implicit negative evidence : the case of zero-derived causatives -- Making the model more general -- Results -- Learning the grammar of the superset language -- Comparison with other models -- Summary -- Learning biases -- Introduction -- A problem for defaults -- Errors in Swedish -- Errors in English -- Toward accounting for the Swedish and English errors -- Constraining the model : a new proposal -- Summary -- Final summary -- References -- Swiss German input types and corresponding compatible grammars -- Additional evidence for a Root-selecting grammar in English? -- Index.

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