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Learner Corpora in Language Testing and Assessment
Learner Corpora in Language Testing and Assessment
1
B01
01
JB code
230196941
Marcus Callies
Callies, Marcus
Marcus
Callies
University of Bremen
07
https://benjamins.com/catalog/persons/230196941
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B01
01
JB code
111196942
Sandra Götz
Götz, Sandra
Sandra
Götz
Justus Liebig University, Giessen
07
https://benjamins.com/catalog/persons/111196942
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eng
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226
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2015
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Language and languages--Ability testing--Data processing.
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Learner autonomy.
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Corpus linguistics
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02
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The aim of this volume is to highlight the benefits and potential of using learner corpora for the testing and assessment of L2 proficiency in both speaking and writing, reflecting the growing importance of learner corpora in applied linguistics and second language acquisition research.
03
00
The aim of this volume is to highlight the benefits and potential of using learner corpora for the testing and assessment of L2 proficiency in both speaking and writing, reflecting the growing importance of learner corpora in applied linguistics and second language acquisition research. Identifying several desiderata for future research and practice, the volume presents a selection of original studies, covering a variety of different languages. It features studies that present very thoroughly compiled new corpus resources which are tailor-made and ready for analysis in LTA, new tools for the automatic assessment of proficiency levels, and new methods of (self-)assessment with the help of learner corpora. Other studies suggest innovative research methodologies of how proficiency can be operationalized through learner corpus data. The volume is of particular interest to researchers in (applied) corpus linguistics, learner corpus research, language testing and assessment, as well as for materials developers and language teachers.
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Learner corpora in language testing and assessment
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Prospects and challenges
Prospects and challenges
1
A01
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665233806
Marcus Callies
Callies, Marcus
Marcus
Callies
University of Bremen
07
https://benjamins.com/catalog/persons/665233806
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253233807
Sandra Götz
Götz, Sandra
Sandra
Götz
Justus Liebig University, Giessen
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New corpus resources, tools and methods
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The
Marburg Corpus of Intermediate Learner English (MILE)
The Marburg Corpus of Intermediate Learner English (MILE)
1
A01
01
JB code
43233808
Rolf Kreyer
Kreyer, Rolf
Rolf
Kreyer
07
https://benjamins.com/catalog/persons/43233808
01
eng
03
00
Over the last few decades, corpus linguistic research and methodology have had a huge impact on the foreign language classroom, mainly as reference tools but also by introducing new ways of (data-driven) learning into the classroom. A fairly recent trend is the use of corpus-linguistic methods for the study of the development of learner language, which has led to the compilation of a fairly large number of learner corpora. Among other things, this has opened up new avenues for language testing and assessment, e.g. in the context of the Common European Framework of Reference for Languages (CEFR). However, although learner corpora seem to lend themselves easily to such purposes, the role they have actually played so far is rather minor in comparison to the huge influence on other aspects of foreign language teaching (at least with regard to German learners of English). The present chapter explores possible reasons and introduces the Marburg Corpus of Intermediate Learner English (MILE) as a potential resource for learner language analysis and for corpus-informed, -based and -driven contributions to language testing and assessment.
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Avalingua
Avalingua
01
04
Natural language processing for automatic error detection
Natural language processing for automatic error detection
1
A01
01
JB code
694233809
Pablo Gamallo Otero
Gamallo Otero, Pablo
Pablo
Gamallo Otero
University of Santiago de Compostela
07
https://benjamins.com/catalog/persons/694233809
2
A01
01
JB code
856233810
Marcos Garcia
Garcia, Marcos
Marcos
Garcia
University of Santiago de Compostela
07
https://benjamins.com/catalog/persons/856233810
3
A01
01
JB code
914233811
Iria Río
Río, Iria
Iria
Río
Cilenis S. L.
07
https://benjamins.com/catalog/persons/914233811
4
A01
01
JB code
206233812
Isaac González López
González López, Isaac
Isaac
González López
Cilenis S. L.
07
https://benjamins.com/catalog/persons/206233812
01
eng
03
00
The objective of this article is to present an automatic tool for detecting and classifying grammatical errors in written language as well as to describe the evaluation protocol we have carried out to measure its performance on learner corpora. The tool was designed to detect and analyse the linguistic errors found in text essays, assess the writing proficiency, and propose solutions with the aim of improving the linguistic skills of students. It makes use of natural language processing and knowledge-rich linguistic resources. So far, the tool has been implemented for the Galician language. The system has been evaluated on two learner corpora reaching 91% precision and 65% recall (76% F-score) for the task of detecting different types of grammatical errors, including spelling, lexical and syntactic ones.
01
01
JB code
scl.70.03nor
06
10.1075/scl.70.03nor
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84
26
Article
5
01
04
Data commentary in science writing
Data commentary in science writing
01
04
Using a small, specialized corpus for formative self-assessment practices
Using a small, specialized corpus for formative self-assessment practices
1
A01
01
JB code
809233813
Lene Nordrum
Nordrum, Lene
Lene
Nordrum
Lund University
07
https://benjamins.com/catalog/persons/809233813
2
A01
01
JB code
64233814
Andreas Eriksson
Eriksson, Andreas
Andreas
Eriksson
Chalmers University of Technology
07
https://benjamins.com/catalog/persons/64233814
01
eng
03
00
Data commentary, the verbal comment on visual material, is a complex area in science writing; yet, few studies in academic writing focus on it. This chapter presents an approach to the teaching and learning of data commentary in ESP writing within the science disciplines involving direct application of a small, specialized corpus of data commentaries drawn from published research articles and master’s theses, all annotated for rhetorical moves. We exemplify how formative self-assessment practices of data commentaries can be developed from corpus-informed computer-assisted learning activities combining top-down discourse analysis with bottom-up corpus analysis, and outline a methodology for self-assessment practices. Our approach illustrates how a specialized corpus and purposefully crafted learning activities can assist students in continuous self-assessment practices. Such facilitation is of crucial value today as pedagogical and curricular developments in science education increasingly emphasize students’ awareness of communicative practices.
01
01
JB code
scl.70.04mar
06
10.1075/scl.70.04mar
85
112
28
Article
6
01
04
First steps in assigning proficiency to texts in a learner corpus of computer-mediated communication
First steps in assigning proficiency to texts in a learner corpus of computer-mediated communication
1
A01
01
JB code
715233815
Tim Marchand
Marchand, Tim
Tim
Marchand
07
https://benjamins.com/catalog/persons/715233815
2
A01
01
JB code
830233816
Sumie Akutsu
Akutsu, Sumie
Sumie
Akutsu
07
https://benjamins.com/catalog/persons/830233816
01
eng
03
00
This chapter presents a new method for assigning proficiency levels to texts in a learner corpus of computer-mediated communication (CMC). The CMC comes from learner comments on news articles that form part of an English language course for university students in Japan. The rationale for using the CMC discourse as the basis of a learner corpus will be discussed, followed by a justification of using a text-centred approach of assigning proficiency. The use of binary decision trees to account for the complexity, accuracy and fluency evident in the texts will be described, followed by a snapshot of the results from using the method so far. The chapter concludes with the suggestion that while some of the details may need refining, in principle the method could be of use in categorizing the proficiency of texts in other learner corpora.
01
01
JB code
scl.70.s2
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10.1075/scl.70.s2
Section header
7
01
04
Data-driven approaches to the assessment of proficiency
Data-driven approaches to the assessment of proficiency
01
eng
01
01
JB code
scl.70.05len
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10.1075/scl.70.05len
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140
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Article
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01
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The
English Vocabulary Profile as a benchmark for assigning levels to learner corpus data
The English Vocabulary Profile as a benchmark for assigning levels to learner corpus data
1
A01
01
JB code
739233817
Agnieszka Leńko-Szymańska
Leńko-Szymańska, Agnieszka
Agnieszka
Leńko-Szymańska
07
https://benjamins.com/catalog/persons/739233817
01
eng
03
00
This study explores the use of the English Vocabulary Profile (EVP) for the assignment of relevant proficiency bands to learner production samples. The vocabulary of 90 essays drawn from the International Corpus of Crosslinguistic Interlanguage (ICCI) has been tagged with the corresponding Common European Framework of Reference (CEFR) levels according to the information available in the EVP database. Cluster analysis was performed in order to classify the essays into five groups, which were later rank-ordered based on their length and lexical characteristics. In addition, the same 90 essays were rated on the CEFR scale by three raters. Finally, the five clusters were correlated with their rater-assigned levels with the help of a measure of rank correlation (Goodman and Kruskel’s gamma). The results demonstrate a strong association between the statistically-established clusters of essays and their CEFR scores.
01
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10.1075/scl.70.06per
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162
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Article
9
01
04
A
multidimensional analysis of learner language during story reconstruction in interviews
A multidimensional analysis of learner language during story reconstruction in interviews
1
A01
01
JB code
371233818
Pascual Pérez-Paredes
Pérez-Paredes, Pascual
Pascual
Pérez-Paredes
07
https://benjamins.com/catalog/persons/371233818
2
A01
01
JB code
422233819
María Sánchez-Torneland
Sánchez-Torneland, María
María
Sánchez-Torneland
07
https://benjamins.com/catalog/persons/422233819
01
eng
03
00
In this research, we aim at profiling the picture description component of the Louvain International Database of Spoken English Interlanguage (LINDSEI) from a variationist perspective by using English as a Foreign Language (EFL) learner and native speaker data. Our aim is to gain further insight into the linguistic nature of one of the communicative events that is used to assess general ‘proficiency’: the interview. Our results show that the EFL learners represented in the LINDSEI approach the picture description task in ways that differ from the native speaker (NS) data set. This research discusses the differences in the frequency of use of several linguistic features and attempts to account for the impact of this gap between NS and non-native speaker (NNS) uses. From a language testing and assessment (LTA) perspective, our results and research methodology can be of use to complement the parameters that raters and testers usually employ to assess the quality of L2 output.
01
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190
28
Article
10
01
04
Article use and criterial features in Spanish EFL writing
Article use and criterial features in Spanish EFL writing
01
04
A
pilot study from CEFR A2 to B2 levels
A pilot study from CEFR A2 to B2 levels
1
A01
01
JB code
242233820
María Belén Díez-Bedmar
Díez-Bedmar, María Belén
María Belén
Díez-Bedmar
07
https://benjamins.com/catalog/persons/242233820
01
eng
03
00
This pilot study uses a combination of frequency measures and an accuracy measure to explore article use in the writing of Spanish learners of English as a foreign language (EFL). Following Bickerton’s (1981) and Huebner’s (1983) publications, the uses of the definite, indefinite and zero articles are analysed and (error-)tagged in a learner corpus containing texts at the A2, B1 and B2 levels of the Common European Framework of Reference for Languages (CEFR). Three criterial features, more concretely positive linguistic features, are observed in the learner corpus at CEFR B2 level: the higher mean of correct uses of the zero article in non-referential contexts, their effective use and selection, and their accurate use. The chapter also analyses the patterns in the accuracy of use order at the three CEFR levels and provides examples of article errors.
01
01
JB code
scl.70.08got
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10.1075/scl.70.08got
191
216
26
Article
11
01
04
Tense and aspect errors in spoken learner English
Tense and aspect errors in spoken learner English
01
04
Implications for language testing and assessment
Implications for language testing and assessment
1
A01
01
JB code
846233821
Sandra Götz
Götz, Sandra
Sandra
Götz
07
https://benjamins.com/catalog/persons/846233821
01
eng
03
00
Language testing guidelines like the Common European Framework of Reference for Languages (CEFR) have been very influential for language testing and assessment, yet the way they define proficiency levels using ‘can-do-statements’ has often been criticized as being too vague. In the present chapter, I will take a corpus-based approach towards spoken accuracy in advanced German learner English and report on the findings of an error analysis of the most error-prone category in the German component of the Louvain International Database of Spoken English Interlanguage (LINDSEI). Focusing on verb-tense related errors, the present study not only reveals what is especially error-prone in the case of advanced German learners of English in this category (e.g. reported speech, conditionals), but it also shows that even at an advanced level, learners appear to form a fairly heterogeneous group with regard to the number of errors. However, the types of errors committed at this proficiency level are quite systematic, and this allows for a thorough description of advanced learners’ error profiles. In the final section of this chapter, I will take these findings to suggest a text-centred description of different proficiency levels in advanced German learners’ speech at the university level and sketch out some avenues for future research.
01
01
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scl.70.09aut
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217
218
2
Miscellaneous
12
01
04
Authors
Authors
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eng
01
01
JB code
scl.70.10ind
06
10.1075/scl.70.10ind
219
220
2
Miscellaneous
13
01
04
Index
Index
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eng
01
JB code
JBENJAMINS
John Benjamins Publishing Company
01
01
JB code
JB
John Benjamins Publishing Company
01
https://benjamins.com
02
https://benjamins.com/catalog/scl.70
Amsterdam
NL
00
John Benjamins Publishing Company
Marketing Department / Karin Plijnaar, Pieter Lamers
onix@benjamins.nl
04
01
00
20150409
C
2015
John Benjamins
D
2015
John Benjamins
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WORLD
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15
9789027203786
WORLD
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JB
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John Benjamins e-Platform
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https://jbe-platform.com
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https://jbe-platform.com/content/books/9789027268709
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90.00
EUR
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02
76.00
GBP
GB
01
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Unqualified price
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135.00
USD
434014999
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JB
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10.1075/scl.70
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2014049823
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Studies in Corpus Linguistics
Studies in Corpus Linguistics
01
01
Learner Corpora in Language Testing and Assessment
Learner Corpora in Language Testing and Assessment
1
B01
01
JB code
230196941
Marcus Callies
Callies, Marcus
Marcus
Callies
University of Bremen
07
https://benjamins.com/catalog/persons/230196941
2
B01
01
JB code
111196942
Sandra Götz
Götz, Sandra
Sandra
Götz
Justus Liebig University, Giessen
07
https://benjamins.com/catalog/persons/111196942
01
eng
11
226
03
03
vi
03
00
220
03
01
23
418.0076
03
2015
P53.4
04
Language and languages--Ability testing--Data processing.
04
Language and languages--Study and teaching--Data processing.
04
Learner autonomy.
10
LAN009000
12
CFDC
24
JB code
LIN.APPL
Applied linguistics
24
JB code
LIN.CORP
Corpus linguistics
24
JB code
LIN.LA
Language acquisition
24
JB code
LIN.EDUC
Language teaching
01
06
02
00
The aim of this volume is to highlight the benefits and potential of using learner corpora for the testing and assessment of L2 proficiency in both speaking and writing, reflecting the growing importance of learner corpora in applied linguistics and second language acquisition research.
03
00
The aim of this volume is to highlight the benefits and potential of using learner corpora for the testing and assessment of L2 proficiency in both speaking and writing, reflecting the growing importance of learner corpora in applied linguistics and second language acquisition research. Identifying several desiderata for future research and practice, the volume presents a selection of original studies, covering a variety of different languages. It features studies that present very thoroughly compiled new corpus resources which are tailor-made and ready for analysis in LTA, new tools for the automatic assessment of proficiency levels, and new methods of (self-)assessment with the help of learner corpora. Other studies suggest innovative research methodologies of how proficiency can be operationalized through learner corpus data. The volume is of particular interest to researchers in (applied) corpus linguistics, learner corpus research, language testing and assessment, as well as for materials developers and language teachers.
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03
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Learner corpora in language testing and assessment
Learner corpora in language testing and assessment
01
04
Prospects and challenges
Prospects and challenges
1
A01
01
JB code
665233806
Marcus Callies
Callies, Marcus
Marcus
Callies
University of Bremen
07
https://benjamins.com/catalog/persons/665233806
2
A01
01
JB code
253233807
Sandra Götz
Götz, Sandra
Sandra
Götz
Justus Liebig University, Giessen
07
https://benjamins.com/catalog/persons/253233807
01
eng
01
01
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scl.70.s1
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10.1075/scl.70.s1
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New corpus resources, tools and methods
New corpus resources, tools and methods
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eng
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scl.70.01kre
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10.1075/scl.70.01kre
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The
Marburg Corpus of Intermediate Learner English (MILE)
The Marburg Corpus of Intermediate Learner English (MILE)
1
A01
01
JB code
43233808
Rolf Kreyer
Kreyer, Rolf
Rolf
Kreyer
07
https://benjamins.com/catalog/persons/43233808
01
eng
03
00
Over the last few decades, corpus linguistic research and methodology have had a huge impact on the foreign language classroom, mainly as reference tools but also by introducing new ways of (data-driven) learning into the classroom. A fairly recent trend is the use of corpus-linguistic methods for the study of the development of learner language, which has led to the compilation of a fairly large number of learner corpora. Among other things, this has opened up new avenues for language testing and assessment, e.g. in the context of the Common European Framework of Reference for Languages (CEFR). However, although learner corpora seem to lend themselves easily to such purposes, the role they have actually played so far is rather minor in comparison to the huge influence on other aspects of foreign language teaching (at least with regard to German learners of English). The present chapter explores possible reasons and introduces the Marburg Corpus of Intermediate Learner English (MILE) as a potential resource for learner language analysis and for corpus-informed, -based and -driven contributions to language testing and assessment.
01
01
JB code
scl.70.02gam
06
10.1075/scl.70.02gam
35
58
24
Article
4
01
04
Avalingua
Avalingua
01
04
Natural language processing for automatic error detection
Natural language processing for automatic error detection
1
A01
01
JB code
694233809
Pablo Gamallo Otero
Gamallo Otero, Pablo
Pablo
Gamallo Otero
University of Santiago de Compostela
07
https://benjamins.com/catalog/persons/694233809
2
A01
01
JB code
856233810
Marcos Garcia
Garcia, Marcos
Marcos
Garcia
University of Santiago de Compostela
07
https://benjamins.com/catalog/persons/856233810
3
A01
01
JB code
914233811
Iria Río
Río, Iria
Iria
Río
Cilenis S. L.
07
https://benjamins.com/catalog/persons/914233811
4
A01
01
JB code
206233812
Isaac González López
González López, Isaac
Isaac
González López
Cilenis S. L.
07
https://benjamins.com/catalog/persons/206233812
01
eng
03
00
The objective of this article is to present an automatic tool for detecting and classifying grammatical errors in written language as well as to describe the evaluation protocol we have carried out to measure its performance on learner corpora. The tool was designed to detect and analyse the linguistic errors found in text essays, assess the writing proficiency, and propose solutions with the aim of improving the linguistic skills of students. It makes use of natural language processing and knowledge-rich linguistic resources. So far, the tool has been implemented for the Galician language. The system has been evaluated on two learner corpora reaching 91% precision and 65% recall (76% F-score) for the task of detecting different types of grammatical errors, including spelling, lexical and syntactic ones.
01
01
JB code
scl.70.03nor
06
10.1075/scl.70.03nor
59
84
26
Article
5
01
04
Data commentary in science writing
Data commentary in science writing
01
04
Using a small, specialized corpus for formative self-assessment practices
Using a small, specialized corpus for formative self-assessment practices
1
A01
01
JB code
809233813
Lene Nordrum
Nordrum, Lene
Lene
Nordrum
Lund University
07
https://benjamins.com/catalog/persons/809233813
2
A01
01
JB code
64233814
Andreas Eriksson
Eriksson, Andreas
Andreas
Eriksson
Chalmers University of Technology
07
https://benjamins.com/catalog/persons/64233814
01
eng
03
00
Data commentary, the verbal comment on visual material, is a complex area in science writing; yet, few studies in academic writing focus on it. This chapter presents an approach to the teaching and learning of data commentary in ESP writing within the science disciplines involving direct application of a small, specialized corpus of data commentaries drawn from published research articles and master’s theses, all annotated for rhetorical moves. We exemplify how formative self-assessment practices of data commentaries can be developed from corpus-informed computer-assisted learning activities combining top-down discourse analysis with bottom-up corpus analysis, and outline a methodology for self-assessment practices. Our approach illustrates how a specialized corpus and purposefully crafted learning activities can assist students in continuous self-assessment practices. Such facilitation is of crucial value today as pedagogical and curricular developments in science education increasingly emphasize students’ awareness of communicative practices.
01
01
JB code
scl.70.04mar
06
10.1075/scl.70.04mar
85
112
28
Article
6
01
04
First steps in assigning proficiency to texts in a learner corpus of computer-mediated communication
First steps in assigning proficiency to texts in a learner corpus of computer-mediated communication
1
A01
01
JB code
715233815
Tim Marchand
Marchand, Tim
Tim
Marchand
07
https://benjamins.com/catalog/persons/715233815
2
A01
01
JB code
830233816
Sumie Akutsu
Akutsu, Sumie
Sumie
Akutsu
07
https://benjamins.com/catalog/persons/830233816
01
eng
03
00
This chapter presents a new method for assigning proficiency levels to texts in a learner corpus of computer-mediated communication (CMC). The CMC comes from learner comments on news articles that form part of an English language course for university students in Japan. The rationale for using the CMC discourse as the basis of a learner corpus will be discussed, followed by a justification of using a text-centred approach of assigning proficiency. The use of binary decision trees to account for the complexity, accuracy and fluency evident in the texts will be described, followed by a snapshot of the results from using the method so far. The chapter concludes with the suggestion that while some of the details may need refining, in principle the method could be of use in categorizing the proficiency of texts in other learner corpora.
01
01
JB code
scl.70.s2
06
10.1075/scl.70.s2
Section header
7
01
04
Data-driven approaches to the assessment of proficiency
Data-driven approaches to the assessment of proficiency
01
eng
01
01
JB code
scl.70.05len
06
10.1075/scl.70.05len
115
140
26
Article
8
01
04
The
English Vocabulary Profile as a benchmark for assigning levels to learner corpus data
The English Vocabulary Profile as a benchmark for assigning levels to learner corpus data
1
A01
01
JB code
739233817
Agnieszka Leńko-Szymańska
Leńko-Szymańska, Agnieszka
Agnieszka
Leńko-Szymańska
07
https://benjamins.com/catalog/persons/739233817
01
eng
03
00
This study explores the use of the English Vocabulary Profile (EVP) for the assignment of relevant proficiency bands to learner production samples. The vocabulary of 90 essays drawn from the International Corpus of Crosslinguistic Interlanguage (ICCI) has been tagged with the corresponding Common European Framework of Reference (CEFR) levels according to the information available in the EVP database. Cluster analysis was performed in order to classify the essays into five groups, which were later rank-ordered based on their length and lexical characteristics. In addition, the same 90 essays were rated on the CEFR scale by three raters. Finally, the five clusters were correlated with their rater-assigned levels with the help of a measure of rank correlation (Goodman and Kruskel’s gamma). The results demonstrate a strong association between the statistically-established clusters of essays and their CEFR scores.
01
01
JB code
scl.70.06per
06
10.1075/scl.70.06per
141
162
22
Article
9
01
04
A
multidimensional analysis of learner language during story reconstruction in interviews
A multidimensional analysis of learner language during story reconstruction in interviews
1
A01
01
JB code
371233818
Pascual Pérez-Paredes
Pérez-Paredes, Pascual
Pascual
Pérez-Paredes
07
https://benjamins.com/catalog/persons/371233818
2
A01
01
JB code
422233819
María Sánchez-Torneland
Sánchez-Torneland, María
María
Sánchez-Torneland
07
https://benjamins.com/catalog/persons/422233819
01
eng
03
00
In this research, we aim at profiling the picture description component of the Louvain International Database of Spoken English Interlanguage (LINDSEI) from a variationist perspective by using English as a Foreign Language (EFL) learner and native speaker data. Our aim is to gain further insight into the linguistic nature of one of the communicative events that is used to assess general ‘proficiency’: the interview. Our results show that the EFL learners represented in the LINDSEI approach the picture description task in ways that differ from the native speaker (NS) data set. This research discusses the differences in the frequency of use of several linguistic features and attempts to account for the impact of this gap between NS and non-native speaker (NNS) uses. From a language testing and assessment (LTA) perspective, our results and research methodology can be of use to complement the parameters that raters and testers usually employ to assess the quality of L2 output.
01
01
JB code
scl.70.07die
06
10.1075/scl.70.07die
163
190
28
Article
10
01
04
Article use and criterial features in Spanish EFL writing
Article use and criterial features in Spanish EFL writing
01
04
A
pilot study from CEFR A2 to B2 levels
A pilot study from CEFR A2 to B2 levels
1
A01
01
JB code
242233820
María Belén Díez-Bedmar
Díez-Bedmar, María Belén
María Belén
Díez-Bedmar
07
https://benjamins.com/catalog/persons/242233820
01
eng
03
00
This pilot study uses a combination of frequency measures and an accuracy measure to explore article use in the writing of Spanish learners of English as a foreign language (EFL). Following Bickerton’s (1981) and Huebner’s (1983) publications, the uses of the definite, indefinite and zero articles are analysed and (error-)tagged in a learner corpus containing texts at the A2, B1 and B2 levels of the Common European Framework of Reference for Languages (CEFR). Three criterial features, more concretely positive linguistic features, are observed in the learner corpus at CEFR B2 level: the higher mean of correct uses of the zero article in non-referential contexts, their effective use and selection, and their accurate use. The chapter also analyses the patterns in the accuracy of use order at the three CEFR levels and provides examples of article errors.
01
01
JB code
scl.70.08got
06
10.1075/scl.70.08got
191
216
26
Article
11
01
04
Tense and aspect errors in spoken learner English
Tense and aspect errors in spoken learner English
01
04
Implications for language testing and assessment
Implications for language testing and assessment
1
A01
01
JB code
846233821
Sandra Götz
Götz, Sandra
Sandra
Götz
07
https://benjamins.com/catalog/persons/846233821
01
eng
03
00
Language testing guidelines like the Common European Framework of Reference for Languages (CEFR) have been very influential for language testing and assessment, yet the way they define proficiency levels using ‘can-do-statements’ has often been criticized as being too vague. In the present chapter, I will take a corpus-based approach towards spoken accuracy in advanced German learner English and report on the findings of an error analysis of the most error-prone category in the German component of the Louvain International Database of Spoken English Interlanguage (LINDSEI). Focusing on verb-tense related errors, the present study not only reveals what is especially error-prone in the case of advanced German learners of English in this category (e.g. reported speech, conditionals), but it also shows that even at an advanced level, learners appear to form a fairly heterogeneous group with regard to the number of errors. However, the types of errors committed at this proficiency level are quite systematic, and this allows for a thorough description of advanced learners’ error profiles. In the final section of this chapter, I will take these findings to suggest a text-centred description of different proficiency levels in advanced German learners’ speech at the university level and sketch out some avenues for future research.
01
01
JB code
scl.70.09aut
06
10.1075/scl.70.09aut
217
218
2
Miscellaneous
12
01
04
Authors
Authors
01
eng
01
01
JB code
scl.70.10ind
06
10.1075/scl.70.10ind
219
220
2
Miscellaneous
13
01
04
Index
Index
01
eng
01
JB code
JBENJAMINS
John Benjamins Publishing Company
01
01
JB code
JB
John Benjamins Publishing Company
01
https://benjamins.com
02
https://benjamins.com/catalog/scl.70
Amsterdam
NL
00
John Benjamins Publishing Company
Marketing Department / Karin Plijnaar, Pieter Lamers
onix@benjamins.nl
04
01
00
20150409
C
2015
John Benjamins
D
2015
John Benjamins
02
WORLD
WORLD
US CA MX
09
01
JB
1
John Benjamins Publishing Company
+31 20 6304747
+31 20 6739773
bookorder@benjamins.nl
01
https://benjamins.com
21
6
26
01
00
Unqualified price
02
JB
1
02
90.00
EUR
02
00
Unqualified price
02
76.00
01
Z
0
GBP
GB
US CA MX
01
01
JB
2
John Benjamins Publishing Company
+1 800 562-5666
+1 703 661-1501
benjamins@presswarehouse.com
01
https://benjamins.com
21
6
26
01
00
Unqualified price
02
JB
1
02
135.00
USD
676016208
03
01
01
JB code
JB
John Benjamins Publishing Company
01
JB code
SCL 70 GE
15
9789027268709
06
10.1075/scl.70
13
2015006085
00
EA
E133
10
01
JB code
SCL
02
JB code
1388-0373
02
70.00
01
02
Studies in Corpus Linguistics
Studies in Corpus Linguistics
01
01
Learner Corpora in Language Testing and Assessment
Learner Corpora in Language Testing and Assessment
1
B01
01
JB code
230196941
Marcus Callies
Callies, Marcus
Marcus
Callies
University of Bremen
2
B01
01
JB code
111196942
Sandra Götz
Götz, Sandra
Sandra
Götz
Justus Liebig University, Giessen
01
eng
11
226
03
03
vi
03
00
220
03
24
JB code
LIN.APPL
Applied linguistics
24
JB code
LIN.CORP
Corpus linguistics
24
JB code
LIN.LA
Language acquisition
24
JB code
LIN.EDUC
Language teaching
10
LAN009000
12
CFDC
01
06
02
00
The aim of this volume is to highlight the benefits and potential of using learner corpora for the testing and assessment of L2 proficiency in both speaking and writing, reflecting the growing importance of learner corpora in applied linguistics and second language acquisition research.
03
00
The aim of this volume is to highlight the benefits and potential of using learner corpora for the testing and assessment of L2 proficiency in both speaking and writing, reflecting the growing importance of learner corpora in applied linguistics and second language acquisition research. Identifying several desiderata for future research and practice, the volume presents a selection of original studies, covering a variety of different languages. It features studies that present very thoroughly compiled new corpus resources which are tailor-made and ready for analysis in LTA, new tools for the automatic assessment of proficiency levels, and new methods of (self-)assessment with the help of learner corpora. Other studies suggest innovative research methodologies of how proficiency can be operationalized through learner corpus data. The volume is of particular interest to researchers in (applied) corpus linguistics, learner corpus research, language testing and assessment, as well as for materials developers and language teachers.
01
00
03
01
01
D503
https://benjamins.com/covers/475/scl.70.png
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D502
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https://benjamins.com/covers/3d_web/scl.70.hb.png
01
01
JB code
scl.70.001int
06
10.1075/scl.70.001int
1
10
10
Article
1
01
04
Learner corpora in language testing and assessment
Learner corpora in language testing and assessment
01
04
Prospects and challenges
Prospects and challenges
1
A01
01
JB code
665233806
Marcus Callies
Callies, Marcus
Marcus
Callies
University of Bremen
2
A01
01
JB code
253233807
Sandra Götz
Götz, Sandra
Sandra
Götz
Justus Liebig University, Giessen
01
01
JB code
scl.70.s1
06
10.1075/scl.70.s1
Section header
2
01
04
New corpus resources, tools and methods
New corpus resources, tools and methods
01
01
JB code
scl.70.01kre
06
10.1075/scl.70.01kre
13
34
22
Article
3
01
04
The
Marburg Corpus of Intermediate Learner English (MILE)
The Marburg Corpus of Intermediate Learner English (MILE)
1
A01
01
JB code
43233808
Rolf Kreyer
Kreyer, Rolf
Rolf
Kreyer
01
01
JB code
scl.70.02gam
06
10.1075/scl.70.02gam
35
58
24
Article
4
01
04
Avalingua
Avalingua
01
04
Natural language processing for automatic error detection
Natural language processing for automatic error detection
1
A01
01
JB code
694233809
Pablo Gamallo Otero
Gamallo Otero, Pablo
Pablo
Gamallo Otero
University of Santiago de Compostela
2
A01
01
JB code
856233810
Marcos Garcia
Garcia, Marcos
Marcos
Garcia
University of Santiago de Compostela
3
A01
01
JB code
914233811
Iria Río
Río, Iria
Iria
Río
Cilenis S. L.
4
A01
01
JB code
206233812
Isaac González López
González López, Isaac
Isaac
González López
Cilenis S. L.
01
01
JB code
scl.70.03nor
06
10.1075/scl.70.03nor
59
84
26
Article
5
01
04
Data commentary in science writing
Data commentary in science writing
01
04
Using a small, specialized corpus for formative self-assessment practices
Using a small, specialized corpus for formative self-assessment practices
1
A01
01
JB code
809233813
Lene Nordrum
Nordrum, Lene
Lene
Nordrum
Lund University
2
A01
01
JB code
64233814
Andreas Eriksson
Eriksson, Andreas
Andreas
Eriksson
Chalmers University of Technology
01
01
JB code
scl.70.04mar
06
10.1075/scl.70.04mar
85
112
28
Article
6
01
04
First steps in assigning proficiency to texts in a learner corpus of computer-mediated communication
First steps in assigning proficiency to texts in a learner corpus of computer-mediated communication
1
A01
01
JB code
715233815
Tim Marchand
Marchand, Tim
Tim
Marchand
2
A01
01
JB code
830233816
Sumie Akutsu
Akutsu, Sumie
Sumie
Akutsu
01
01
JB code
scl.70.s2
06
10.1075/scl.70.s2
Section header
7
01
04
Data-driven approaches to the assessment of proficiency
Data-driven approaches to the assessment of proficiency
01
01
JB code
scl.70.05len
06
10.1075/scl.70.05len
115
140
26
Article
8
01
04
The
English Vocabulary Profile as a benchmark for assigning levels to learner corpus data
The English Vocabulary Profile as a benchmark for assigning levels to learner corpus data
1
A01
01
JB code
739233817
Agnieszka Leńko-Szymańska
Leńko-Szymańska, Agnieszka
Agnieszka
Leńko-Szymańska
01
01
JB code
scl.70.06per
06
10.1075/scl.70.06per
141
162
22
Article
9
01
04
A
multidimensional analysis of learner language during story reconstruction in interviews
A multidimensional analysis of learner language during story reconstruction in interviews
1
A01
01
JB code
371233818
Pascual Pérez-Paredes
Pérez-Paredes, Pascual
Pascual
Pérez-Paredes
2
A01
01
JB code
422233819
María Sánchez-Torneland
Sánchez-Torneland, María
María
Sánchez-Torneland
01
01
JB code
scl.70.07die
06
10.1075/scl.70.07die
163
190
28
Article
10
01
04
Article use and criterial features in Spanish EFL writing
Article use and criterial features in Spanish EFL writing
01
04
A
pilot study from CEFR A2 to B2 levels
A pilot study from CEFR A2 to B2 levels
1
A01
01
JB code
242233820
María Belén Díez-Bedmar
Díez-Bedmar, María Belén
María Belén
Díez-Bedmar
01
01
JB code
scl.70.08got
06
10.1075/scl.70.08got
191
216
26
Article
11
01
04
Tense and aspect errors in spoken learner English
Tense and aspect errors in spoken learner English
01
04
Implications for language testing and assessment
Implications for language testing and assessment
1
A01
01
JB code
846233821
Sandra Götz
Götz, Sandra
Sandra
Götz
01
01
JB code
scl.70.09aut
06
10.1075/scl.70.09aut
217
218
2
Miscellaneous
12
01
04
Authors
Authors
01
01
JB code
scl.70.10ind
06
10.1075/scl.70.10ind
219
220
2
Miscellaneous
13
01
04
Index
Index
01
JB code
JBENJAMINS
John Benjamins Publishing Company
01
01
JB code
JB
John Benjamins Publishing Company
01
https://benjamins.com
Amsterdam
NL
00
John Benjamins Publishing Company
Marketing Department / Karin Plijnaar, Pieter Lamers
onix@benjamins.nl
04
01
00
20150409
C
2015
John Benjamins
D
2015
John Benjamins
02
WORLD
13
15
9789027203786
WORLD
03
01
JB
17
Google
03
https://play.google.com/store/books
21
01
00
Unqualified price
00
90.00
EUR
01
00
Unqualified price
00
76.00
GBP
01
00
Unqualified price
00
135.00
USD