One of the many new features of English language learners’ dictionaries derived from the technological developments that have taken place over recent decades is the presence of corpus-based examples to illustrate the use of words in context. However, empirical studies have generally not been able to produce conclusive evidence about their actual worth. In Frankenberg-Garcia (2012a), I argued that these studies – and indeed learners’ dictionaries themselves – do not distinguish sufficiently between examples meant to aid language comprehension and examples that focus on enhancing language production. The present study reports on an experiment with secondary school students carried out to test the usefulness of separate corpus examples for comprehension and production. The results support the need for different types of examples for comprehension and production, and provide evidence in support of data-driven learning, particularly if learners have access to more than one example.

This study reports on the results of classroom research investigating the effects of corpus use in the process of revising compositions in English as a foreign language. Our primary aim was to investigate the relationship between the information extracted from corpus data and how that information actually helped in revising different types of errors in the essays. In ‘data-driven learning’, previous research has often failed to provide rigorous criteria for choosing the words or phrases suitable for correction with corpus data. By investigating the above relationship, this study aims to clarify what should be corrected by looking at corpus data. 93 undergraduate students from two universities in Tokyo wrote a short essay in 20 minutes without a dictionary, and the instructors gave coded error feedback for two lexical or grammatical errors. They deliberately selected one error which should be appropriate for checking against corpus data and one that was more likely to be corrected without using any reference resource. Three weeks later, a short hands-on instruction of the corpus query tool was given, followed by revision activities in which the participants were instructed to revise their first drafts, with or without the tool depending on the codes given to each error. 188 errors were automatically classified into three different categories (omission, addition and misformation) using natural language processing techniques. All words and phrases tagged for errors were further annotated for part-of-speech (POS) information. The results show that there was a significant difference in the accuracy rate among the three error types when the students consulted the corpus: omission and addition errors were easily identified and corrected, whereas misformation errors were low in correction accuracy. This reveals that certain errors are more suitable for checking against corpus data than others.

This paper examines whether and to what extent data-driven learning (DDL) activities can improve the lexico-grammatical use of abstract nouns in L2 writing. A topic-based corpus was compiled to develop concordance learning activities, and 40 Chinese students majoring in English were randomly assigned to a control group or an experimental group. At the prewriting stage, both groups were given a list of five abstract nouns: the experimental group was provided with paper-based concordance lines to study the collocations of the words, while the control group was allowed to consult dictionaries for the usage of the words. The written texts of the pre-test, immediate post-test, and delayed post-test were analysed and compared between and within groups. The results showed that the written output by the experimental group, as compared with the control group, contained a higher variety of collocational and colligational patterns and had fewer linguistic errors in using the target abstract nouns. The post-experiment learning journals and questionnaires administered to the experimental group further confirmed that concordance activities encouraged usage-based learning, helped students notice the lexical collocations and prepositional colligations of the target words, and thus improved accuracy and complexity in their productive language. Despite these positive findings, potential problems of using concordance activities for independent learning were also reflected in the students’ written output and reported in the learning journals.

This study examines the role of guided induction as an instructional approach in paper-based data-driven learning (DDL) in the context of an ESL grammar course during an intensive English program at an American public university. Specifically, it examines whether corpus-informed grammar instruction is more effective through inductive, data-driven learning or through traditional deductive instruction. In the study, 49 participants completed two weeks of ESL grammar instruction on the passive voice in English. The learners participated in one of three instructional treatments: a data-driven learning treatment, a deductive instructional treatment using corpus-informed teaching materials, and a deductive instructional treatment using traditional (i.e., non-corpus-informed) materials. Results from pre-test, post-test, and delayed post-test indicated that the DDL group significantly improved their grammar ability with the passive voice, while the other two treatment groups did not show significant gains. The findings from this study suggest that in this learning context there are measurable benefits to teaching ESL grammar inductively using paper-based DDL.

Learner corpora have become prominent in language teaching and learning, enhancing data-driven learning (DDL) pedagogy by promoting ‘learning driven data’ in the classroom. This study explores the potential of a local learner corpus by investigating the effects of two types of DDL activities, one relying on a native-speaker corpus (NSC) and the second combining native-speaker and learner corpora. Both types of activities aimed at improving second language writers’ knowledge of linking adverbials and were based on a preliminary analysis of adverbial use in the local learner corpus produced by 31 study participants. Quantitative and qualitative data, obtained from writing samples, pre/post-tests, and questionnaires, were converged through concurrent triangulation. The results showed an increase in frequency, diversity and accuracy in all participants’ use of adverbials, but more significant improvement was made by the students who were exposed to the corpus containing their own writing. The findings of this study are thus interpreted as suggestive that combining learner and native-speaker data is a feasible and effective practice, which can be readily integrated in DDL-based instruction with positive impact.

Corpus linguistics has established that language is highly patterned. The use of patterned language has been linked to processing advantages with respect to listening and reading, which has implications for perceptions of fluency. The last twenty years has seen an increase in the integration of corpus-based language learning, or data-driven learning (DDL), as a supporting feature in teaching English as a foreign / second language (EFL/ESL). Most research has investigated student attitudes towards DDL as a tool to facilitate writing. Other studies, though notably fewer, have taken a quantitative perspective of the efficacy of DDL as a tool to facilitate the inductive learning of grammar rules. The purpose of this study is three-fold: (1) to present an EFL curriculum designed around DDL with the aim of improving spoken fluency; (2) to gauge how effective students were in employing newly discovered phrases in an appropriate manner; and (3) to investigate student attitudes toward such an approach to language learning. Student attitudes were investigated via a questionnaire and then triangulated through interviews and student logs. The findings indicate that students believe DDL to be a useful and effective tool in the classroom. However, students do note some difficulties related to DDL, such as encountering unfamiliar vocabulary and cut-off concordance lines. Finally, questions are raised as to the students’ ability to embed learned phrases in a pragmatically appropriate way.

Corpora have been suggested as valuable sources for teaching English for academic purposes (EAP). Since previous studies have mainly focused on corpus use in classroom settings, more research is needed to reveal how students react to using corpora on their own and what should be provided to help them become autonomous corpus users, considering that their ultimate goal is to be independent scholars and writers. In the present study, conducted in an engineering lab at a Korean university over 22 weeks, data on students’ experiences and evaluations of consulting general and specialized corpora for academic writing were collected and analyzed. The findings show that, while both corpora served the participants well as reference sources, the specialized corpus was particularly valued for its direct help in academic writing because, as non-native English-speaking graduate engineering students, the participants wanted to follow the writing conventions of their discourse community. The participants also showed disparate attitudes toward the time taken for corpus consultation due to differences in factors such as academic experience, search purposes, and writing tasks. The article concludes with several suggestions for better corpus use with EAP students regarding the compilation of a corpus, corpus training, corpus competence, and academic writing.

The paper describes a teacher-training course on the use of corpora in language education offered to graduate students at the Institute of Applied Linguistics, University of Warsaw. It also presents the results of two questionnaires distributed to the students prior to and after the second edition of the course. The main aims of the course are: to introduce students to the concept of a corpus and its analysis; to familiarize them with a range of available corpora, corpus-based resources and tools; and to demonstrate to them various applications of corpora in language education, with special emphasis placed on the in-house preparation of courses, teaching materials and class activities. In the first part of the paper, the design, the syllabus, the progression and the outcomes of the course are outlined. In the second part, the responses of thirteen students who participated in the second edition of the course are analysed. The analysis indicates that on the whole the students reacted positively to the course and they saw the benefits of corpus-based materials and tools in language teaching. Yet the students also reported that they needed more time to gain full command of the resources and software presented and more guidance on the pedagogical issues related to corpus use. The paper concludes that fourteen sessions, designed as an overview of the whole range of corpus-based resources and applications, is not sufficient to encourage teacher trainees to use corpora in their future work if they have no contact with these resources and tools in other classes. Only extensive exposure to corpora by future teachers coupled with suitable teacher training in the applications of corpora in language education may bring a substantial change in the scope of corpus use in language classrooms in the wide educational context.