We present the KELLY project and its work on developing monolingual and bilingual word lists for language learning, using corpus methods, for nine languages and thirty-six language pairs. We describe the method and discuss the many challenges encountered. We have loaded the data into an online database to make it accessible for anyone to explore and we present our own first explorations of it. The focus of the paper is thus twofold, covering pedagogical and methodological aspects of the lists' construction, and linguistic aspects of the by-product of the project, the KELLY database.We would like to dedicate this paper to our colleague Frieda Charalabopoulou, who died, following a long struggle with cancer, between its writing and its publication.
Lexical competence constitutes a crucial aspect in L2 learning, since building a rich repository of words is considered indispensable for successful communication. CALL practitioners have experimented with various kinds of computer-mediated glosses to facilitate L2 vocabulary building in the context of incidental vocabulary learning. Intentional learning, on the other hand, is generally underestimated, since it is considered out of fashion and not in line with the communicative L2 learning paradigm. Yet, work is still being done in this area and a substantial body of research indicates that the usefulness of incidental vocabulary learning does not exclude the use of dedicated vocabulary study and that by using aids explicitly geared to building vocabularies (such as word lists and word cards), L2 learners exhibit good retention rates and faster learning gains. Intentional vocabulary study should, therefore, have its place in the instructional and learning context. Regardless of the approach, incidental or intentional, the crucial question with respect to vocabulary teaching/learning remains: which and how many words should we teach/learn at different language levels? An attempt to answer the above question was made within the framework of the EU-funded project titled "KELLY"
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.