400015000 03 01 01 JB code JB John Benjamins Publishing Company 01 JB code SCL 70 Eb 15 9789027268709 06 10.1075/scl.70 13 2015006085 00 EA E107 10 01 JB code SCL 02 1388-0373 02 70.00 01 02 Studies in Corpus Linguistics Studies in Corpus Linguistics 11 01 JB code jbe-all 01 02 Full EBA collection (ca. 4,200 titles) 11 01 JB code jbe-2015-all 01 02 Complete backlist (3,208 titles, 1967–2015) 05 02 Complete backlist (1967–2015) 11 01 JB code jbe-2015-scl 01 02 Studies in Corpus Linguistics (vols. 1–66, 1998–2015) 05 02 SCL (vols. 1–66, 1998–2015) 11 01 JB code jbe-2015-linguistics 01 02 Subject collection: Linguistics (2,773 titles, 1967–2015) 05 02 Linguistics (1967–2015) 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. 01 00 03 01 01 D503 https://benjamins.com/covers/475/scl.70.png 01 01 D502 https://benjamins.com/covers/475_jpg/9789027203786.jpg 01 01 D504 https://benjamins.com/covers/475_tif/9789027203786.tif 01 01 D503 https://benjamins.com/covers/1200_front/scl.70.hb.png 01 01 D503 https://benjamins.com/covers/125/scl.70.png 02 00 03 01 01 D503 https://benjamins.com/covers/1200_back/scl.70.hb.png 03 00 03 01 01 D503 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 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 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 eng 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 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 13 15 9789027203786 WORLD 09 01 JB 3 John Benjamins e-Platform 03 https://jbe-platform.com 29 https://jbe-platform.com/content/books/9789027268709 21 01 00 Unqualified price 02 90.00 EUR 01 00 Unqualified price 02 76.00 GBP GB 01 00 Unqualified price 02 135.00 USD 434014999 03 01 01 JB code JB John Benjamins Publishing Company 01 JB code SCL 70 Hb 15 9789027203786 06 10.1075/scl.70 13 2014049823 00 BB 08 565 gr 10 01 JB code SCL 02 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 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. 01 00 03 01 01 D503 https://benjamins.com/covers/475/scl.70.png 01 01 D502 https://benjamins.com/covers/475_jpg/9789027203786.jpg 01 01 D504 https://benjamins.com/covers/475_tif/9789027203786.tif 01 01 D503 https://benjamins.com/covers/1200_front/scl.70.hb.png 01 01 D503 https://benjamins.com/covers/125/scl.70.png 02 00 03 01 01 D503 https://benjamins.com/covers/1200_back/scl.70.hb.png 03 00 03 01 01 D503 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 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 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 eng 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 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 01 01 D502 https://benjamins.com/covers/475_jpg/9789027203786.jpg 01 01 D504 https://benjamins.com/covers/475_tif/9789027203786.tif 01 01 D503 https://benjamins.com/covers/1200_front/scl.70.hb.png 01 01 D503 https://benjamins.com/covers/125/scl.70.png 02 00 03 01 01 D503 https://benjamins.com/covers/1200_back/scl.70.hb.png 03 00 03 01 01 D503 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