Prosody in a contrastive learner corpus
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Anne Tortel
Abstract
This article presents the detailed description, constitution and rhythm analyses of an oral English L1/L2 learner corpus spoken by both native speakers of British English (L1) and French learners of English (L2). This contrastive learner database called ANGLISH was designed at the University of Provence at the Parole et Langage laboratory for a PhD project. So far, it has been used to study the rhythm of learners’ productions. The method used is a comparative analysis of French and native speakers’ productions using several recently-developed rhythm metrics with focus on the reading part of the ANGLISH corpus. The final aim is to set up an objective evaluation which could be implemented in computer-assisted systems for teaching English prosody.
Abstract
This article presents the detailed description, constitution and rhythm analyses of an oral English L1/L2 learner corpus spoken by both native speakers of British English (L1) and French learners of English (L2). This contrastive learner database called ANGLISH was designed at the University of Provence at the Parole et Langage laboratory for a PhD project. So far, it has been used to study the rhythm of learners’ productions. The method used is a comparative analysis of French and native speakers’ productions using several recently-developed rhythm metrics with focus on the reading part of the ANGLISH corpus. The final aim is to set up an objective evaluation which could be implemented in computer-assisted systems for teaching English prosody.
Chapters in this book
- Prelim pages i
- Table of contents v
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Section 1. Introduction
- Introduction 3
- Learner corpora 9
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Section 2. Compilation, annotation and exchangeability of learner corpus data
- Developing corpus interoperability for phonetic investigation of learner corpora 33
- Learner corpora and second language acquisition 65
- Competing target hypotheses in the Falko corpus 101
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Section 3. Automatic approaches to the identification of learner language features in learner corpus data
- Using learner corpora for automatic error detection and correction 127
- Automatic suprasegmental parameter extraction in learner corpora 151
- Criterial feature extraction using parallel learner corpora and machine learning 169
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Section 4. Analysis of learner corpus data
- Phonological acquisition in the French-English interlanguage 207
- Prosody in a contrastive learner corpus 227
- A corpus-based comparison of syntactic complexity in NNS and NS university students’ writing 249
- Analysing coherence in upper-intermediate learner writing 265
- Statistical tests for the analysis of learner corpus data 287
- Index 311
Chapters in this book
- Prelim pages i
- Table of contents v
-
Section 1. Introduction
- Introduction 3
- Learner corpora 9
-
Section 2. Compilation, annotation and exchangeability of learner corpus data
- Developing corpus interoperability for phonetic investigation of learner corpora 33
- Learner corpora and second language acquisition 65
- Competing target hypotheses in the Falko corpus 101
-
Section 3. Automatic approaches to the identification of learner language features in learner corpus data
- Using learner corpora for automatic error detection and correction 127
- Automatic suprasegmental parameter extraction in learner corpora 151
- Criterial feature extraction using parallel learner corpora and machine learning 169
-
Section 4. Analysis of learner corpus data
- Phonological acquisition in the French-English interlanguage 207
- Prosody in a contrastive learner corpus 227
- A corpus-based comparison of syntactic complexity in NNS and NS university students’ writing 249
- Analysing coherence in upper-intermediate learner writing 265
- Statistical tests for the analysis of learner corpus data 287
- Index 311
