This study investigated the effects of individual word frequency, collocational frequency, and association on L1 and L2 collocational processing. An acceptability judgment task was administered to L1 and L2 speakers of English. Response times were analyzed using mixed-effects modeling for 3 types of adjective-noun pairs: (a) high-frequency, (b)…

This article contributes to the debate about the appropriate use of corpus data in language learning research. It focuses on frequencies of linguistic features in language use and their comparison across corpora. The majority of corpus-based second language acquisition studies employ a comparative design in which either one or more second language…

The current study presents a "New General Service List (new-GSL)", which is a result of robust comparison of four language corpora ("LOB," "BNC," "BE06," and "EnTenTen12") of the total size of over 12 billion running words. The four corpora were selected to represent a variety of corpus sizes and…

This article focuses on the use of collocations in language learning research (LLR). Collocations, as units of formulaic language, are becoming prominent in our understanding of language learning and use; however, while the number of corpus-based LLR studies of collocations is growing, there is still a need for a deeper understanding of factors…

Morphological complexity (MC) is a relatively new construct in second language acquisition (SLA). After critically discussing existing approaches to calculating MC in first- and second-language acquisition research, this article presents a new operationalization of the construct, the Morphological Complexity Index (MCI). The MCI is applied in two…

The article discusses epistemic stance in spoken L2 production. Using a subset of the Trinity Lancaster Corpus of spoken L2 production, we analysed the speech of 132 advanced L2 speakers from different L1 and cultural backgrounds taking part in four speaking tasks: one largely monologic presentation task and three interactive tasks. The study…

This primarily methodological article makes a proposition for linguistic exploration of textual resources available through the "Google Scholar" search engine. These resources ("Google Scholar virtual corpus") are significantly larger than any existing corpus of academic writing. "Google Scholar", however, was not designed for linguistic searches…