Chapter
Chapter 2.
The p-model of data and evidence in linguistics
Chapter 2.
The p-model of data and evidence in linguistics
2. A possible solution to (P)(a): The p-model
2. A possible solution to (P)(a): The p-model
2.2 The uncertainty of information: Plausible statements
2.2 The uncertainty of information: Plausible statements
2.3 Obtaining new information from uncertain information: Plausible inferences
2.3 Obtaining new information from uncertain information: Plausible inferences
2.4 The p-context and the p-context-dependency of plausible inferences
2.4 The p-context and the p-context-dependency of plausible inferences
2.5 Problems, their solution and their resolution
2.5 Problems, their solution and their resolution
2.6 The problem solving process
2.6 The problem solving process
2.6.1 Plausible argumentation
2.6.1 Plausible argumentation
2.6.2 Problem-solving strategies
2.6.2 Problem-solving strategies
2.7 The solution to (P)(a)
2.7 The solution to (P)(a)
3. A possible solution to (P)(b): The p-model’s concepts of ‘data’
and ‘evidence’
3. A possible solution to (P)(b): The p-model’s concepts of ‘data’
and ‘evidence’
Part II. Object-theoretical applications
Part II. Object-theoretical applications
Chapter 3.
The plausibility of approaches to syntactic alternation of Hungarian verbs
Chapter 3.
The plausibility of approaches to syntactic alternation of Hungarian verbs
Chapter 4.
Methods and argumentation in historical linguistics
Chapter 4.
Methods and argumentation in historical linguistics
2. Argumentation in historical linguistics
2. Argumentation in historical linguistics
2.1 Quantitative and qualitative data in historical research
2.1 Quantitative and qualitative data in historical research
3.1 The starting p-context: Three accounts of the morphological development of the Catalan periphrastic perfective past
3.1 The starting p-context: Three accounts of the morphological development of the Catalan periphrastic perfective past
3.2 Extension of the starting p-context: The historical present
3.2 Extension of the starting p-context: The historical present
3.3 Coordination of the extended p-context
3.3 Coordination of the extended p-context
4. Modification of the p-context and comparison of the rival solutions
4. Modification of the p-context and comparison of the rival solutions
Chapter 5.
Hungarian verbs of natural phenomena with explicit and implicit subject arguments
Chapter 5.
Hungarian verbs of natural phenomena with explicit and implicit subject arguments
1. Introduction: Aims and the organisation of the chapter
1. Introduction: Aims and the organisation of the chapter
2. The rivalling approaches in the starting p-context: On the subjectlessness of verbs of natural phenomena in Hungarian
2. The rivalling approaches in the starting p-context: On the subjectlessness of verbs of natural phenomena in Hungarian
2.1 Magyar Értelmező Kéziszótár (Concise Explanatory Dictionary of Hungarian) (Pusztai 2003)
2.1 Magyar Értelmező Kéziszótár (Concise Explanatory Dictionary of Hungarian) (Pusztai 2003)
2.2 Magyar Grammatika (Hungarian grammar) (Keszler 2000)
2.2 Magyar Grammatika (Hungarian grammar) (Keszler 2000)
2.3 Lexical-functional grammar (Komlósy 1994)
2.3 Lexical-functional grammar (Komlósy 1994)
2.4 A generative syntactic analysis (Tóth 2001)
2.4 A generative syntactic analysis (Tóth 2001)
2.5 The evaluation of the starting p-context
2.5 The evaluation of the starting p-context
3. Extending the starting p-context with new data
3. Extending the starting p-context with new data
4. Extending the p-context with results of previous research into implicit arguments in Hungarian
4. Extending the p-context with results of previous research into implicit arguments in Hungarian
4.1 Definition of implicit arguments and their occurrence in Hungarian
4.1 Definition of implicit arguments and their occurrence in Hungarian
4.2 Compatible rivalling proposals
4.2 Compatible rivalling proposals
4.3 Non-compatible rivalling approaches
4.3 Non-compatible rivalling approaches
5. Modification of the p-context: The occurrence of verbs of natural phenomena with implicit subject arguments in Hungarian
5. Modification of the p-context: The occurrence of verbs of natural phenomena with implicit subject arguments in Hungarian
6. The resolution of the starting p-problem in the modified p-context: The advantages of the analysis of verbs of natural phenomena with implicit and explicit subject arguments
6. The resolution of the starting p-problem in the modified p-context: The advantages of the analysis of verbs of natural phenomena with implicit and explicit subject arguments
Chapter 6.
The development of a taxonomy of verbal disagreements in the light of the p-model
Chapter 6.
The development of a taxonomy of verbal disagreements in the light of the p-model
1. Introduction: The goal and structure of the chapter
1. Introduction: The goal and structure of the chapter
2. The starting p-context: Rival frameworks of disagreement
2. The starting p-context: Rival frameworks of disagreement
2.1 P-context version 1: Muntigl & Turnbull’s model (1998)
2.1 P-context version 1: Muntigl & Turnbull’s model (1998)
2.2 P-context version 2: Rees-Miller’s (1995, 2000) taxonomy
2.2 P-context version 2: Rees-Miller’s (1995, 2000) taxonomy
2.3 P-context version 3: Locher’s (2004) model
2.3 P-context version 3: Locher’s (2004) model
2.4 P-context version 4: Bándli’s (2009) framework
2.4 P-context version 4: Bándli’s (2009) framework
2.5 Evaluation of the starting p-context
2.5 Evaluation of the starting p-context
3.1 Setting up a new p-context
3.1 Setting up a new p-context
3.2 The elaboration of the p-context
3.2 The elaboration of the p-context
3.2.1 Softened disagreement strategies
3.2.1 Softened disagreement strategies
3.2.2 Neutral disagreement strategies
3.2.2 Neutral disagreement strategies
3.2.3 Strengthened disagreement strategies
3.2.3 Strengthened disagreement strategies
3.3 Comparison to other solutions
3.3 Comparison to other solutions
4.1 Setting up a new p-context
4.1 Setting up a new p-context
4.2 Elaboration of the p-context
4.2 Elaboration of the p-context
4.2.1 Extension of the p-context: Research on the intuitions of native speakers
4.2.1 Extension of the p-context: Research on the intuitions of native speakers
4.2.2 Coordination of the p-context
4.2.2 Coordination of the p-context
4.2.3 Modification of p-context
4.2.3 Modification of p-context
Pragmatic force modifiers:
Pragmatic force modifiers:
4.3 Comparison to other solutions
4.3 Comparison to other solutions
Chapter 7.
A case of disagreement
Chapter 7.
A case of disagreement
2. The descriptive background
2. The descriptive background
3. Setting up the p-context: The literature on agreeing RPVCs
3. Setting up the p-context: The literature on agreeing RPVCs
3.3 The initial p-context
3.3 The initial p-context
3.4 Further remarks on the initial p-context
3.4 Further remarks on the initial p-context
4. Elaborating the p-context: The differential analysis of agreeing and non-agreeing RPVCs
4. Elaborating the p-context: The differential analysis of agreeing and non-agreeing RPVCs
4.1 The background to a new direction
4.1 The background to a new direction
4.2 Evidence 1: Binding data
4.2 Evidence 1: Binding data
4.3 Evidence 2: The verbless construction
4.3 Evidence 2: The verbless construction
4.4 Evidence 3: On the +human restriction
4.4 Evidence 3: On the +human restriction
5. By way of summary: The final p-context
5. By way of summary: The final p-context
Chapter 8.
A plausibility-based model of shifted indexicals
Chapter 8.
A plausibility-based model of shifted indexicals
1. Indexicals in the scope of sentential operators
1. Indexicals in the scope of sentential operators
2. Introducing plausibility considerations
2. Introducing plausibility considerations
3. A conflict between different sources of plausibility
3. A conflict between different sources of plausibility
4. A proposal for the resolution of the conflict
4. A proposal for the resolution of the conflict
Part III. Metatheoretical applications
Part III. Metatheoretical applications
Chapter 9.
Thought experiments and real experiments as converging data sources in pragmatics
Chapter 9.
Thought experiments and real experiments as converging data sources in pragmatics
2. On the state of the art
2. On the state of the art
2.1 Current views on thought experiments in science
2.1 Current views on thought experiments in science
2.2 Points of departure for the solution of (P)
2.2 Points of departure for the solution of (P)
3. Case study 1: Thought experimental report in Searle (1969)
3. Case study 1: Thought experimental report in Searle (1969)
3.1 Setting up the starting p-context
3.1 Setting up the starting p-context
3.2 The elaboration of the starting p-context
3.2 The elaboration of the starting p-context
3.2.1 Subcycle 1: Analysis of Wittgenstein’s thought experiment
3.2.1 Subcycle 1: Analysis of Wittgenstein’s thought experiment
3.2.2 The continuation of the argumentation cycle: Further elaboration
of a rival hypothesis
3.2.2 The continuation of the argumentation cycle: Further elaboration
of a rival hypothesis
3.3 The comparison of the solutions to the problem raised in (1)
3.3 The comparison of the solutions to the problem raised in (1)
4. Case study 2: Real experimental reports in Holtgraves & Ashley (2001)
4. Case study 2: Real experimental reports in Holtgraves & Ashley (2001)
4.1 Setting up the starting p-context
4.1 Setting up the starting p-context
4.2 The elaboration of the starting p-context
4.2 The elaboration of the starting p-context
4.2.2 Subcycle 1: Experiment 2
4.2.2 Subcycle 1: Experiment 2
4.2.3 Subcycle 2: Experiment 3
4.2.3 Subcycle 2: Experiment 3
4.2.4 Subcycle 4: Experiment 4
4.2.4 Subcycle 4: Experiment 4
4.3 The comparison with other solutions
4.3 The comparison with other solutions
5. The relationship between thought experiments and real experiments
5. The relationship between thought experiments and real experiments
5.2 Step 1: The continuity between thought experiments
and real experiments
5.2 Step 1: The continuity between thought experiments
and real experiments
5.3 Step 2: Analogies between the thought experimental reports
and experimental reports
5.3 Step 2: Analogies between the thought experimental reports
and experimental reports
5.4 Step 3: Analogies between real and thought experiments
5.4 Step 3: Analogies between real and thought experiments
5.4.1 The structure of real experiments
5.4.1 The structure of real experiments
5.4.2 The structure of thought experiments
5.4.2 The structure of thought experiments
Chapter 10.
Data and the resolution of inconsistency
in Optimality Theory
Chapter 10.
Data and the resolution of inconsistency
in Optimality Theory
2. Basic ideas of Optimality Theory
2. Basic ideas of Optimality Theory
3. On (P)(a): Emergence of inconsistencies in Kager (1999)’s argumentation
3. On (P)(a): Emergence of inconsistencies in Kager (1999)’s argumentation
3.1 Inconsistency No. 1: Satisfying a constraint leads to conflicts with another constraint
3.1 Inconsistency No. 1: Satisfying a constraint leads to conflicts with another constraint
3.2 Inconsistency No. 2: A constraint ranking fails to rule out certain incorrect output forms belonging to the given input form
3.2 Inconsistency No. 2: A constraint ranking fails to rule out certain incorrect output forms belonging to the given input form
3.3 Inconsistency No. 3: A constraint ranking fails to produce the correct output form in the case of input forms having a certain characteristic
3.3 Inconsistency No. 3: A constraint ranking fails to produce the correct output form in the case of input forms having a certain characteristic
3.4 Inconsistency No. 4: Constraint hierarchies contradict each other within a language
3.4 Inconsistency No. 4: Constraint hierarchies contradict each other within a language
3.5 The solution to (P)(a)
3.5 The solution to (P)(a)
4. On (P)(b): Analysis and evaluation of the strategies applied by
Kager (1999)
4. On (P)(b): Analysis and evaluation of the strategies applied by
Kager (1999)
4.1 Treatment of Inconsistency No. 1: Joint application of the Contrastive and the Combinative Strategies
4.1 Treatment of Inconsistency No. 1: Joint application of the Contrastive and the Combinative Strategies
Step 3: Simulation of functioning of EVAL 2: The decision procedure
Step 3: Simulation of functioning of EVAL 2: The decision procedure
Step 1: Simulation of the functioning of GEN
Step 1: Simulation of the functioning of GEN
4.2 Treatment of Inconsistency No. 2: Modification of the hypothesis about the constraint hierarchy
4.2 Treatment of Inconsistency No. 2: Modification of the hypothesis about the constraint hierarchy
Step 2: Simulation of the functioning of EVAL 1: Confronting constraints and output-candidates
Step 2: Simulation of the functioning of EVAL 1: Confronting constraints and output-candidates
Step 3: Simulation of the functioning of EVAL 2: The decision procedure
Step 3: Simulation of the functioning of EVAL 2: The decision procedure
Step 4: Confrontation of the outcome of the evaluation procedure with
“linguistic data”
Step 4: Confrontation of the outcome of the evaluation procedure with
“linguistic data”
Step 1: Simulation of the functioning of GEN
Step 1: Simulation of the functioning of GEN
Step 2: Simulation of the functioning of EVAL 1: Confronting constraints and output-candidates
Step 2: Simulation of the functioning of EVAL 1: Confronting constraints and output-candidates
Step 3: Simulation of the functioning of EVAL 2: The decision procedure
Step 3: Simulation of the functioning of EVAL 2: The decision procedure
Step 4: Confrontation of the outcome of the evaluation procedure with
“linguistic data”
Step 4: Confrontation of the outcome of the evaluation procedure with
“linguistic data”
Step 1: Simulation of the functioning of GEN
Step 1: Simulation of the functioning of GEN
4.3 Treatment of Inconsistency No. 3: Modification of the hypothesis regarding the constraint hierarchy
4.3 Treatment of Inconsistency No. 3: Modification of the hypothesis regarding the constraint hierarchy
Step 2: Simulation of the functioning of EVAL 1: Confronting constraints
and candidates
Step 2: Simulation of the functioning of EVAL 1: Confronting constraints
and candidates
Step 3: Simulation of the functioning of EVAL 2: The decision procedure
Step 3: Simulation of the functioning of EVAL 2: The decision procedure
Step 4: Confrontation of the outcome of the evaluation procedure with
“linguistic data”
Step 4: Confrontation of the outcome of the evaluation procedure with
“linguistic data”
Step 1: Simulation of the functioning of GEN
Step 1: Simulation of the functioning of GEN
Step 2: Simulation of functioning of EVAL 1: Confronting constraints
and candidates
Step 2: Simulation of functioning of EVAL 1: Confronting constraints
and candidates
Step 3: Simulation of the functioning of EVAL 2: The decision procedure
Step 3: Simulation of the functioning of EVAL 2: The decision procedure
Step 4: Confrontation of the outcome of the evaluation procedure with
“linguistic data”
Step 4: Confrontation of the outcome of the evaluation procedure with
“linguistic data”
Step 1: Simulation of the functioning of GEN
Step 1: Simulation of the functioning of GEN
4.4 Treatment of Inconsistency No. 4: Necessity for the substantial revision of the theory
4.4 Treatment of Inconsistency No. 4: Necessity for the substantial revision of the theory
Step 2: Simulation of the functioning of EVAL 1: Confronting constraints
and candidates
Step 2: Simulation of the functioning of EVAL 1: Confronting constraints
and candidates
Step 3: Simulation of the functioning of EVAL 2: The decision procedure
Step 3: Simulation of the functioning of EVAL 2: The decision procedure
Step 4: Confrontation of the outcome of the evaluation procedure with
“linguistic data”
Step 4: Confrontation of the outcome of the evaluation procedure with
“linguistic data”
Step 1: Simulation of the functioning of GEN
Step 1: Simulation of the functioning of GEN
Step 2: Simulation of the functioning of EVAL 1: Confronting constraints
and candidates
Step 2: Simulation of the functioning of EVAL 1: Confronting constraints
and candidates
Step 3: Simulation of the functioning of EVAL 2: The decision procedure
Step 3: Simulation of the functioning of EVAL 2: The decision procedure
Step 4: Confrontation of the outcome of the evaluation procedure with
“linguistic data”
Step 4: Confrontation of the outcome of the evaluation procedure with
“linguistic data”
4.5 The solution to (P)(b)
4.5 The solution to (P)(b)
2. The uncertainty of linguistic data
2. The uncertainty of linguistic data
4. The cyclic and prismatic nature of linguistic theorising
4. The cyclic and prismatic nature of linguistic theorising
5. The treatment of inconsistencies
5. The treatment of inconsistencies
6. The pluralism of linguistic theorising
6. The pluralism of linguistic theorising