
Methods in Cognitive Linguistics
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- Methods in Cognitive Linguistics
- Editorial page
- Title page
- LCC data
- dedication page
- Table of contents
- Contributors
- Acknowledgements
- Foreword
- 1. Introduction
- 2. Introspection
- 2.1. First condition of attending
- 2.2. Second condition of attending
- 2.3. Third condition of attending
- 2.4. Profile of introspection
- 3. Audio- and videographic analysis
- 4. Corpus analysis
- 5. Experimental method
- References
- Introduction
- 1. Introduction
- 2. Volume organization
- 2.1. Methods and motivations
- 2.2. Corpus and discourse analysis
- 2.3. Sign language and gesture
- 2.4. Behavioral experiments
- 2.5. Neural approaches
- I. Methods and motivations
- Why cognitive linguists should care more about empirical methods
- 1. Introduction
- 2. The problem with introspection
- 3. Do cognitive linguists use empirical methods?
- 4. Challenges for cognitive linguistics
- 5. Examples of relevant methods
- 5.1. Mental imagery
- 5.2. Context-sensitive judgments about metaphorical meaning
- 5.3. Embodied intuitions and metaphorical inferences
- 5.4. Not all methods work!
- 6. Bodily movement and metaphor comprehension
- 7. Conclusion: Cognitive linguists need not do experiments
- References
- They actually said that?
- 1. Introduction
- 2. Language, cognition, and social interaction: Cognitive-functionalist approaches to discourse
- 2.1. Emergent Grammar
- 2.2. Discourse and Grammar
- 2.3. Social Interaction and Grammar
- 2.4. Different degrees of contextualization: Discourse pragmatics and ethnography
- 2.5. Language and the body: Multimodal communication and sign language discourse
- 2.6. Mediated situatedness: A look at recent accounts of metaphor in (public) written discourse
- 3. Introduction to corpus-based approaches
- 3.1. Corpus-based research for the cognitive linguist
- 3.2. Terminology
- 3.3. Annotated list of popular corpora, plus a brief caveat
- 3.4. Summary
- 4. Concluding remarks
- References
- An introduction to experimental methods for language researchers
- 1. Introduction
- 2. Experimenting with experimentation
- 3. Reading the research article
- 3.1. Title
- 3.2. Authors and affiliations
- 3.3. Place of publication
- 3.4. Year of publication
- 3.5. Abstract
- 3.6. Introduction
- 3.7. Methods
- 3.8. Results
- 3.9. Discussion
- 3.10. References
- 4. Other types of articles
- 5. The scientific method
- 6. Conducting research
- 6.1. Part one: The introduction - the thinking and reading steps
- 6.2. Part two: The practical steps
- 7. Then there is the rest of the planet.
- 7.1. Types of human groupings
- 7.2. Linguistic ability
- 8. Endemic bias in the interpretation of cognitive phenomena
- 8.1. The evaluative bias of language
- 8.2. Differentiating dichotomous variables from continuous ones
- 8.3. The Barnum effect
- 8.4. The assimilation bias
- 8.5. Fundamental attribution error
- 8.6. Correlation does not prove causation
- 9. Conclusion
- References
- Inferential statistics in the context of empirical cognitive linguistics
- 1. Introduction
- 2. What counts as "empirical'' in cognitive linguistics?
- 3. Descriptive vs. inferential statistics
- 4. Variables and experiments
- 5. Measuring and measurement scales
- 5.1. Nominal scale
- 5.2. Ordinal measurement
- 5.3. Interval measurements
- 5.4. Ratio measurement
- 6. Samples and populations
- 7. Probabilities and the logic of hypothesis testing
- 8. Parametric vs. non-parametric inferential statistics
- 8.1. t-test, a parametric test
- 8.2. Analysis of Variance (ANOVA), a parametric test
- 8.3. chi2 (Chi-Square), a non-parametric test
- 9. Epilogue
- References
- Part II. Corpus and discourse analysis
- Multiple empirical approaches to a complex analysis of discourse
- 1. Introduction
- 2. Conversation and pronouns: Linguistic approaches to discourse
- 3. Discourse and interactional accommodation: CCCA
- 4. Interactional patterns of international students: Triangulation
- 5. Conclusion: Discourse and cognition
- References
- A case for a Cognitive corpus linguistics
- 1. Introduction
- 2. The case
- 3. Preliminary analysis
- 3.1. The evidence revisited: A regression analysis of four factors
- 3.2. Materials
- 3.3. Dependent and independent variables
- 3.4. Results and logistic regression analysis
- 4. Reference points and (in)accessibility markers
- 5. Corpus parameters of er's inaccessibility marking function
- 6. Conclusion
- References
- Part III. Sign language and gesture
- Empirical methods in signed language research
- 1. Background on signed languages and cognitive linguistics
- 1.1. Linguistic research on signed languages
- 1.2. Cognitive linguistics
- 2. Signed language research in a cognitive linguistics framework
- 2.1. Iconicity
- 2.2. Metaphor
- 2.3. Mental spaces and blends
- 2.4. Gesture and grammaticization
- 2.5. Evolution of language
- 3. Empirical methods in signed language research
- 3.1. Recording and storage of signed language data
- 3.2. Transcription
- 3.3. Historical
- 3.4. Survey and questionnaire
- 3.5. Corpus
- 3.6. Experimental
- 3.7. Narrative
- 3.8. Multiple methods
- 4. Conclusion
- References
- Looking at space to study mental spaces
- 1. Introduction
- 2. Gesture as a back door to cognition
- 3. Transcription
- 4. Gesture, iconicity and levels of abstraction
- 5. Gesture and levels of content
- 6. Gesture, viewpoint and deixis
- 7. Conclusions
- References
- Methodology for multimodality
- 1. Introduction
- 2. Preliminary considerations: Motivations, subject matter, and genre
- 3. Equipment, physical setting, speaker activities, and videotaping
- 4. Assessing and editing video data
- 5. Discourse transcription
- 6. Transcribing gesture-speech synchrony
- 7. Physical gesture features
- 7.1. Hand shape and palm orientation
- 7.2. Location in gesture space
- 7.3. Movement
- 8. Semantic and pragmatic functions of gestures
- 9. Concluding remarks
- Acknowledgments
- References
- Part IV. Behavioral research
- Experimental methods for studying language and space
- 1. Introduction
- 2. Acceptability ratings
- 2.1. Description of the method and illustrative studies
- 2.2. Critical design issues
- 2.3. Strengths and weaknesses
- 3. Speeded verification
- 3.1. Description of the method and illustrative studies
- 3.2. Critical design issues
- 3.3. Strengths and weaknesses
- 4. Placement tasks
- 4.1. Description of the method and illustrative studies
- 4.2. Critical design issues
- 4.3. Strengths and weaknesses
- 5. Parsing space tasks
- 5.1. Description of the method and illustrative studies
- 5.2. Critical design issues
- 5.3. Strengths and weaknesses
- 6. Production
- 6.1. Description of the method and illustrative studies
- 6.2. Critical design issues
- 6.3. Strengths and weaknesses
- 7. Combining experimental methods: Converging measures
- References
- Experimental methods for simulation semantics
- 1. Simulation semantics and language understanding
- 2. Compatibility effects
- 2.1. Implied object orientation and shape
- 2.2. The action-sentence compatibility effect
- 2.3. Design issues for compatibility methods
- 3. Interference effects
- 3.1. Visual interference effects
- 3.2. Motor interference effects
- 3.3. Interference or compatibility?
- 4. Simulation time effects
- 5. Neural imaging
- 6. Conclusions
- References
- Experimental methods for studying the mental representation of language
- 1. Introduction
- 2. Lexical decision and naming latencies
- 2.1. Rationale
- 2.2. Examples
- 2.3. Further considerations
- 3. Memory measures
- 3.1. Rationale
- 3.2. Examples
- 3.3. Further considerations
- 4. Item recognition measures
- 4.1. Rationale
- 4.2. Examples
- 4.3. Further considerations
- 5. Reading times
- 5.1. Rationale
- 5.2. Examples
- 5.3. Further considerations
- 6. Self report measures: Listing features, choosing features
- 6.1. Rationale
- 6.2. Examples
- 6.3. Further considerations
- 7. The effects of comprehension on subsequent tasks
- 7.1. Rationale
- 7.2. Examples
- 7.3. Further considerations
- 8. Summary
- References
- Eye movements in language and cognition
- 1. The role of eye movements in the visual system
- 2. The value of eye movements to cognitive psychologists
- 3. Perception and action
- 4. Cognition
- 5. Language
- 6. Eye movement methodology
- 6.1. Choice of eyetracker
- 6.2. Calibration
- 6.3. Display parameters
- 6.4. "Blind'' coding
- 6.5. Participant ease
- 6.6. Practice
- 7. Conclusion
- Acknowledgements
- References
- Speaking for the wordless
- 1. Introduction
- 2. The habituation paradigm
- 2.1. Rationale
- 2.2. Procedure
- 2.3. Relevance of habituation to the study of cognitive linguistics
- 3. The intermodal preferential looking paradigm
- 3.1. Rationale
- 3.2. Procedure
- 3.3. Relevance of the IPLP to the study of cognitive linguistics
- 4. Verb learning: A case study
- 4.1. The problem of verb learning
- 4.2. The cognitive linguistic approach to the problem of verb learning
- 4.3. Attention to potential verb referents in nonlinguistic events
- 4.4. The categorization of path and manner in motion events
- 4.5. Use of universal and language-specific cues in verb learning
- 5. Conclusion
- References
- Experimental study of first and second language morphological processing
- 1. Introduction
- 2. Two theoretical approaches to morphological processing
- 3. Input frequencies and probabilities in linguistic processing
- 4. Real and nonce verb generation task
- 4.1. Nonce verb generation task with adult L1 speakers of Italian: The role of phonological similarity
- 4.2. Real and nonce verb generation task with adult L1 and L2 speakers of Russian and L1 children: The role of type frequency
- 5. Lexical decision task
- 5.1. Lexical decision task with adult native speakers of English
- 5.2. Lexical decision task with adult native speakers of Russian
- 6. General conclusions
- References
- Part V. Neural approaches
- Electrifying results
- 1. Introduction
- 2. EEG and ERPs
- 2.1. EEG
- 2.2. ERPs
- 2.3. ERP components
- 3. Language sensitive ERPs
- 3.1. N400
- 3.2. LPN
- 3.3. LAN
- 3.4. P600
- 3.5. Slow cortical potentials
- 4. ERPs and cognitive linguistics
- 4.1. Frames
- 4.2. Metaphor
- 4.3. Iconicity
- 5. Considerations on ERP research
- 5.1. Constraints on ERP research
- 5.2. Future directions
- References
- Bridging language with the rest of cognition
- 1. Introduction
- 2. Common principles of cognitive representation and processing
- 2.1. How to garner empirical support for posited representations
- 2.2. Some common characteristics of cognitive representations
- 3. Dealing with structure: A special challenge?
- 3.1. The role of space in representing structure
- 3.2. Spatial representations for language
- 4. Treatment of structure in computational cognitive linguistics
- 4.1. Computational approach: The Chorus of Phrases and Construction Grammar
- 4.2. Algorithmic and implementational issues: The ADIOS model
- 4.3. Select open questions
- 5. Conclusions
- Acknowledgments
- References
- Appendix A: Some useful mathematical concepts
- Appendix B: Mathematical tools for computational cognitive linguistics
- Index
- The series Human Cognitive Processing
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