
Vocabulary Knowledge : Human ratings and automated measures.
Başlık:
Vocabulary Knowledge : Human ratings and automated measures.
Yazar:
Jarvis, Scott.
ISBN:
9789027271679
Yazar Ek Girişi:
Fiziksel Tanımlama:
1 online resource (228 pages)
Seri:
Studies in Bilingualism ; v.47
Studies in Bilingualism
İçerik:
Vocabulary Knowledge -- Editorial page -- Title page -- LCC data -- Table of contents -- Bio data of authors -- Introduction -- References -- Chapter 1. Defining and measuring lexical diversity -- 1. Introduction -- 2. Background and terminology -- 3. Identifying the construct -- 4. Defining the construct -- 5. Operationalizing the construct and calibrating the measures -- 6. Conclusions -- Acknowledgements -- References -- Appendix A -- Appendix B -- Chapter 2. From intrinsic to extrinsic issues of lexical diversity assessment -- Introduction -- Intrinsic issues of lexical diversity assessment -- Extrinsic issues of lexical diversity assessment -- Developments in addressing intrinsic issues of lexical diversity assessment The Early Days -- Unanswered questions -- MTLD -- Validity -- Convergent validity -- Divergent validity -- Internal validity -- Incremental validity -- Summary -- Addressing extrinsic issues of lexical diversity assessment -- Design -- Lexical diversity approaches -- Material -- Procedure -- Correlation analysis -- Analysis of variance and covariance for nine groupings -- Analysis of variance and covariance for three groupings -- Analysis of variance and covariance for two groupings -- Three groups of ninth graders -- Three groups of finns by grade -- Summary -- Discussion -- Acknowledgements -- References -- Chapter 3. Measuring lexical diversity among L2 learners of French -- Introduction -- 2. Method -- 3. Results -- 3.1 The effect of lemmatization -- 3.2 Predictive validity -- 3.3 Internal validity: Dependence on text length -- 3.4 Convergent, divergent and incremental validity -- 4. Discussion and conclusion -- References -- Chapter 4. Validating lexical measures using human scores of lexical proficiency -- Introduction -- Validity -- Validity studies of automated lexical indices -- Methods -- Corpus collection.
Survey instrument -- Human ratings -- Variable selection -- Statistical analysis -- Results -- Pearson correlations -- Semantic co-referentiality -- Collocations scores -- Sense relation scores -- Sense frequency scores -- Frequency scores -- Lexical diversity scores -- Multiple regression analysis -- Discussion -- Conclusion -- Acknowledgments -- References -- Appendix -- Holistic rating form -- Chapter 5. Computer simulations of MRC Psycholinguistic Database word properties -- Introduction -- Word concreteness -- Word familiarity -- Word imageability -- Method and hypotheses -- Corpus -- Lexical variables -- Results -- Pearson correlations training set -- Multiple regression training set -- Word concreteness -- Word familiarity -- Word imageability -- Discussion -- Conclusion -- Acknowledgements -- References -- Chapter 6. Modelling L2 vocabulary learning -- Modelling L2 vocabulary learning -- Background -- Model assumptions -- A Model of vocabulary acquisition -- Modelling text production -- Testing the model on ESL texts -- Procedure -- Results and consequences -- Discussion -- Conclusion -- Author note -- Appendix A -- References -- Chapter 7. Vocabulary acquisition and the learning curve -- 1. Introduction -- 2. Language learning curves -- 2.1 An overview of different learning curves -- 2.2 Learning curves and the Power Law -- 3. Lexical richness and its measurement -- 4. Hypotheses -- 5. Methodology -- 5.1 Participants -- 5. 2 Measures and procedure -- 6. Results -- 6.1 Text length -- 6.2 Measures of lexical richness -- 6.3 Ratings by teachers based on IELTS band descriptors -- 6.4 Linear fit lines and Loess curves -- 6.5 Fit lines -- 6.6 The latent growth curve -- 7. Conclusions -- References -- Index.
Özet:
Many studies in a variety of educational contexts show that learning curves are non-linear (e.g. Freedman, 1987 for the development of story telling skills in the first language, DeKeyser, 1997 for the acquisition of morphosyntactic rules of an artificial second language or Brooks and Meltzoff, 2007 for the development of vocabulary in two-year-old infants), but there is no agreement on the best non-linear model which may vary between different contexts. Although there are strong arguments, both on empirical and on theoretical grounds, that a power curve is appropriate in most educational settings (Newell & Rosenbloom, 1981; Ninio 2007) other models have also been proposed (Van de gaer et al., 2009; Verhoeven & Van Leeuwe, 2009). However, little is known about the long-term patterns of vocabulary learning in a foreign language. In the present study we analyse the vocabulary used in 294 essays by 42 students written at regular intervals over a period of two years. We use several measures that focus on vocabulary richness as well as ratings from trained IELTS teachers. Our analysis is supported with structural equation modelling, where a latent learning curve, based on the power law, can be identified. The present study is relevant for the discussion on methodological approaches in the measurement of vocabulary knowledge but also has pedagogical implications, as it allows teachers to identify when a certain plateau has been reached and when further vocabulary learning is only effective with additional pedagogical intervention.
Notlar:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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