
A Dynamic Approach to Second Language Development
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- A Dynamic Approach to Second Language Development
- Editorial page
- Title page
- LCC data
- Table of contents
- How to sections
- Introduction
- Researching Second Language Development from a Dynamic Systems Theory Perspective
- 1. Introduction
- 2. Theories in applied linguistics
- 2.1 DST as a theory of SLD
- 3. The basic characteristics of dynamic systems
- 3.1 Sensitive dependence on initial conditions
- 3.2 Complete interconnectedness
- 3.3 Nonlinearity in development
- Anchor 58
- 3.5 Dependence on internal and external resources
- 3.6 Constant change, in which the systems only temporarily settle into "attractor states"
- 3.7 Chaotic variation over time (sometimes)
- 3.8 Iteration
- 3.9 Change caused by interaction with the environment and internal reorganization
- 3.10 Emergent properties
- 3.11 DST and language learning: Bringing the social and the psychological together
- Dynamic Systems Theory and a Usage-based Approach to Second Language Development
- 1. Introduction
- 2. Language as a complex system
- 3. The role of frequency
- 4. The role of L1 in L2 acquisition
- 5. Dynamic language development
- 6. Individual patterns in language development
- 7. Conclusion
- Coding and Extracting Data
- 1. Introduction
- 2. The case study: Measures to be analyzed
- 3. Coding and analyzing the data
- 4. Tracing development
- 4.1 The development of complexity in syntactic constructions
- 4.2 The development of the lexicon
- 4.3 Interaction between sentence complexity and the lexicon
- 5. Conclusion
- Variability and DST
- 1. Introduction
- 2. Traditional versus DST approaches to variability in SLD
- 3. Variability: Sound or noise?
- 4. Longitudinal and dense developmental data
- 5. Descriptive techniques for time serial data
- 5.1 Plotting group data
- 5.2 The use of smoothing techniques
- 5.3 Min-max graphs
- 5.4 Resampling techniques
- 5.4.1 Hypothesis 1: Jorge is generally more variable than Alberto
- 5.4.2 Hypothesis 2: There are significant peaks in the use of don't V by Jorge and Alberto
- 6. Conclusion
- Visualizing Interactions between Variables
- 1. Introduction
- 2. Defining growers
- 3. Analyzing interactions in time serial data
- 3.1 Development of sentence complexity
- 3.2 Development of different types of dependent clauses
- 4. Interaction between lexical sophistication and syntactic complexity
- 5. Conclusion
- Modeling Development and Change
- 1. Introduction
- 2. Types of models
- 2.1 Static models
- 2.2 Linear versus non-linear models
- 2.3 Deterministic models
- 2.4 Dynamic, non-linear and stochastic models
- 2.5 Specifications of dynamic models
- 2.6 Summary types of models
- 3. Our basic dynamic growth model
- 4. Connected growers
- 5. Modeling vocabulary growth
- 5.1 Results
- 5.2 Modeling the data
- 5.3 Evaluating the theoretical model
- 5.4 Discussion
- 6. Conclusion
- Epilogue
- 1. What's new?
- 2. A step forward?
- How to sections
- 1. Introduction
- 2. How to section - Chapter 3
- 2.1 Formatting in CHAT
- 2.1.1 Header tiers
- 2.1.2 Utterance tiers
- 2.1.3 Dependent tiers
- 2.2 Creating a set of tools in Word
- 2.2.1 Recording Macros in Microsoft Word
- 2.2.2 Practicing writing a Macro (indicating a finite verb)
- 2.2.3 Writing a Macro to mark a code-switch
- 2.2.4 Writing a Macro to code an error
- 2.2.5 Writing a Macro to insert a %syn-tier after an utterance
- 2.2.6 Copying and pasting Macros
- 2.2.7 Creating a toolbar for Macros
- 2.3 Getting data ready to analyze with CLAN
- 2.3.1 Setting up CLAN and checking your files through the CHECK command
- 2.3.2 Setting up CLAN
- 2.3.3 Checking your files
- 2.3.4 Creating Lexical Profile and Frequency counts with CLAN
- 2.3.5 Creating a table for frequency counts in Excel
- 3. How to section - Chapter 4
- 3.1 Making graphs in Excel
- 3.1.1 Making a line graph
- 3.1.2 Formatting headings, legends and lines and adding a trendline
- 3.1.3 Making a min-max graph
- 3.2 Resampling techniques
- 3.2.1 Installing add-ins for Excel
- 3.2.2 Testing hypothesis 1: Jorge is generally more variable than Alberto
- 3.2.3 Step 1: Calculating absolute differences
- 3.2.4 Calculating average differences and their difference
- 3.2.5 Step 2: Reshuffling distances
- 3.2.6 Step 3: Running a Monte Carlo
- 3.2.7 Testing Hypothesis 2: There are significant peaks in the use of don't V by Jorge and Alberto
- 3.2.8 Calculating moving averages
- 3.2.9 Calculating the maximum distance between data points
- 3.2.10 Resampling
- 3.3 Detrending
- 3.3.1 Detrending the raw data
- 4. How to section - Chapter 5
- 4.1 Correlations and moving correlations
- 4.1.1 Adding variables
- 4.1.2 Normalizing the data
- 4.1.3 Calculating correlations
- 4.1.4 Moving correlation
- 5. How to section - Chapter 6
- 5.1 Data fitting
- 5.2 Modeling
- 5.2.1 Terms used in the model
- 5.2.2 Working with the model: general introduction
- 5.2.3 Modeling vocabulary growth
- 5.2.4 Modeling precursor relations
- References
- Index
- The series Language Learning & Language Teaching
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