Language Processing in Advanced Learners of English (Bilingual Processing and Acquisition)

✍ Scribed by Marco Schilk

• Publisher: John Benjamins Publishing Company
• Year: 2020
• Tongue: English
• Leaves: 313
• Category: Library

✦ Synopsis

The production and processing of collocations and formulaic language is a field of growing interest in corpus linguistics and experimental psycholinguistics. In the past this fascinating field at the interface of grammar and the lexicon has been mainly studied based on English native speakers, while research focusing on second language speakers and language learners has been comparatively rare. This book proposes an integration of corpus-based and experimental methods by analysing language processing of collocation by advanced learners of English. In using corpus-derived collocational stimuli of native-like and learner-typical language use in an experimental setting, it shows how advanced German L1 learners of English process native-like collocations, L1-based interferences and non-collocating lexical combinations. This book is of interest to anyone interested in the psycholinguistic validity of collocation from a bilingual point of view, as it explores methods of tracking collocational processing of speakers working with different sets of ‘collocational preferences’.

✦ Table of Contents

Language Processing in Advanced Learners of English
Editorial page
Title page
Copyright page
Dedication page
Table of contents
List of figures
List of tables
Acknowledgements
Part I. Empirical analysis of language production and language processing: Aspects of corpus linguistics and experimental psycholinguistics
Chapter 1. Introduction and overview
1.1 Introduction
1.2 Aims and scope of this study
1.3 Structure
Chapter 2. Aspects of corpus linguistics
2.1 Introduction
2.2 Corpus linguistics as an emergent discipline
2.3 Standard native-speaker corpora
2.3.1 First generation corpora and corpus families
2.3.2 Corpora in lexicography: The COBUILD corpus and the Bank of English
2.3.3 The British National Corpus (BNC)
2.4 Corpora in the 21st century: Web as corpus and specialized corpora
2.4.1 Corpora in the 21st century: Introduction
2.4.2 Web as corpus and web-derived corpora
2.4.3 Learner corpora as an example of specialized corpora
2.5 Aspects of corpus linguistics: A brief summary
Chapter 3. Aspects of experimental data in psycholinguistics
3.1 Introduction
3.2 Grammaticality judgment in empirical linguistics
3.3 Lexical decision tasks in empirical linguistics
3.4 Eye-tracking studies in empirical linguistics
3.5 Neuroimaging in empirical linguistics: ERP and fMRI data
3.6 Data in experimental linguistics and psycholinguistics: A brief summary
Part II. Language processing of intermediate and advanced learners of English: A multi-method approach
Chapter 4. Interference collocations of advanced German learners of English
4.1 Introduction
4.2 Collocation and collocability
4.3 Quantitative and phraseological approaches to collocation
4.4 Collocation in Contrastive Interlanguage Analysis (CIA)
Chapter 5. Measuring eye movements for the study of language processing and comprehension
5.1 Introduction
5.2 Early comprehension measures
5.3 Late comprehension measures
5.4 Eye-tracking studies for reading comprehension of non-native speakers
5.5 Measuring eye-movements for the study of language processing and comprehension: A brief summary
Chapter 6. Processing semantic mismatch and unexpected lexical items
6.1 Introduction
6.2 Interference collocations between semantic mismatch and expectation
6.3 EEG/ERP studies with non-native speaker subjects
6.4 Processing semantic mismatch and unexpected lexical items: A brief summary
Chapter 7. Methodology
7.1 Introduction
7.2 Corpus based creation of input stimuli
7.2.1 Background
7.2.2 Learner corpora: ICLE and LINDSEI
7.2.3 Identification of interference collocations
7.2.4 Significant native speaker collocations and fully incongruent collocations
7.2.5 Creating input stimuli from collocation data
7.3 Participants
7.3.1 General information on participants
7.3.2 Socio-biographic metadata of participants
7.4 Eye-tracking and EEG procedures
7.4.1 Introduction
7.4.2 Eye-tracking and EEG recording: Hardware and software
7.4.3 Eye-tracking: Measured variables
Chapter 8. Results 1: Evidence from eye-tracking
8.1 Introduction
8.2 Eye-tracking: Area of Interest 1 – Verbs and adjectives
8.2.1 AoI1: Introduction
8.2.2 AoI1: First Fixation Duration
8.2.3 AoI1: Fixation Time (ms)
8.2.4 AoI1: Fixation Count
8.2.5 AoI1: Revisits
8.2.6 Eye-tracking: Area of Interest 1 – Summary
8.3 Eye-tracking: Area of Interest 2 – Nouns
8.3.1 AoI2: Introduction
8.3.2 AoI2: First Fixation Duration
8.3.3 AoI2: Fixation Time (ms)
8.3.4 AoI2: Fixation Count
8.3.5 AoI2: Revisits
8.3.6 Eye-tracking: Area of Interest 2 – summary
8.4 Eye-tracking: Joint analysis of AoI1 and AoI2
8.4.1 Introduction
8.4.2 AoI1+AoI2: First Fixation Duration
8.4.3 AoI1+AoI2: Fixation Time (absolute)
8.4.4 AoI1+AoI2: Fixation Count
8.4.5 AoI1+AoI2: Revisits
8.4.6 AoI1+AoI2: MANOVA for a combination of dependent variables
8.4.7 Eye-tracking: Joint analysis of AoI1 and AoI2 – summary
Chapter 9. Results 2: Evidence from EEG/ERP
9.1 Introduction
9.2 Recording at sentence onset
9.2.1 Introduction
9.2.2 Sentence onset: Grand averages / student group (N1, P2, N300, N400)
9.2.3 Sentence onset: Word class / student group (N1, P2, N300, N400)
9.2.4 Sentence onset: Sentence condition / student group (N1, P2, N300, N400)
9.2.5 Recording at sentence onset – summary
9.3 Recording time-locked to AoI1 (adjectives/verbs)
9.3.1 Introduction
9.3.2 AoI1: Grand averages / student group (N1, P2, N300/N400)
9.3.3 AoI1: Word class / student group (N1, P2, N300/N400)
9.3.4 AoI1: Condition / student group (N1, P2, N300/N400)
9.3.5 Recording time-locked to AoI1 (adjectives / verbs) – summary
9.4 Recording time-locked to AoI2 (nouns)
9.4.1 AoI2: Introduction
9.4.2 AoI2: Grand averages / student group (N1, P2, N300/N400)
9.4.3 AoI2: Word class / student group (N1, P2, N300/N400)
9.4.4 AoI2: Condition / student group (N1, P2, N300/N400)
9.4.5 Recording time-locked to AoI2 (nouns) – summary
Chapter 10. Evaluation and discussion
10.1 Introduction
10.2 Evaluation of the analysis
10.2.1 Introduction
10.2.2 Corpus-based language inputs
10.2.3 Participant groups
10.2.4 Experiment design: Combined eye-tracking and EEG-recording
10.2.5 Data interpretation and statistics
10.3 Discussion
10.3.1 Introduction
10.3.2 Corpus linguistic and experimental data
10.3.3 Discussion of select results
10.3.4 Discussion – summary
Chapter 11. Conclusions and outlook
11.1 Summary and conclusions
11.2 Outlook
References
Index