The goal of this study is to assess the degree of resemblance between texts generated by
artificial intelligence (GPT) and (written and spoken) texts produced by human individuals in …

In many studies, grammatical complexity has been treated as a single unified construct.
However, other research contradicts that view, suggesting instead that the different structural …

Purpose Understanding what makes a text difficult to read is an important element of literacy
instruction, materials development, and research into text readability. Readability formulas …

Starting university can pose many challenges to new students, from understanding how to
get around on campus to learning how to use academic language. Academic discourse can …

One major approach to discourse analysis focuses on the study of language use, describing
the ways in which lexical and grammatical features are used in texts (see Schiffrin et al …

This paper introduces an initial text typology of social media posts from a multi-dimensional
(MD) perspective. Text types are “[g] rou**s of text that are similar in their linguistic form” …

Multidimensional analysis (MDA) uses a multivariate statistical approach to group a number
of linguistic features based on their co-occurrence. MDA allows genre researchers to identify …

During the past 20 years, corpus linguistic research on register variation has yielded
important theoretical advances. The first part of this paper discusses these advances and the …

In secondary English as a Foreign Language (EFL) instructional contexts, textbooks
constitute a major and highly influential vector of foreign language input. To date, numerous …

Methodological design is a central issue for researchers in corpus linguistics. To understand
trends in the reporting of important aspects of corpus design and the type of corpora being …