This paper considers the adoption of computational techniques within research designs modeled after the extended case method. Echoing calls to augment the power of contemporary researchers through the adoption of computational text analysis methods, we offer a framework for thinking about how such techniques can be integrated into…

Radical-right campaigns commonly employ three discursive elements: anti-elite populism, exclusionary and declinist nationalism, and authoritarianism. Recent scholarship has explored whether these frames have diffused from radical-right to centrist parties in the latter's effort to compete for the former's voters. This study instead investigates…

It is standardly believed that some occurrences of expressions designate singularly, while other occurrences of expressions designate plurally. For instance, the singular expression the student may be used on an occasion to talk about one particular student, while the plural expression the students may be used on an occasion to talk about several…

This action research study focused on establishing a professional learning community of secondary special educators to explore authentic meaning-based reading experiences with struggling readers. The term meaning-based reading experience encompasses both holistic reading evaluations in the form of miscue analysis, and more meaning-focused strategy…

Cyberbullying is the use of digital communication tools and spaces to inflict physical, mental, or emotional distress. This serious form of aggression is frequently targeted at, but not limited to, vulnerable populations. A common problem when creating machine learning models to identify cyberbullying is the availability of accurately annotated,…

Some words in English are derived words, i.e., words with an affix that changes their part of speech, like know "(v)" [right arrow] "knowable (adj)," or meaning, like "pleasant (adj)" [right arrow] "unpleasant (adj)." As a reading teacher, Tom Cobb had always believed that derived words were not particularly…

Data-driven learning uncontroversially plays a role in human language acquisition--how large a role is a matter of much debate. The success of artificial neural networks in NLP in recent years calls for a re-evaluation of our understanding of the possibilities for learning grammar from data alone. This dissertation argues the case for using…

Corpus-based studies of lexical bundles have opened new avenues for language teaching research. The fact that naturally occurring language consists of patterns of lexical repetition and multi-word units has given rise to the question of chunkiness in learner language. This study was designed to examine lexical bundles and their functions in a…

Dialogue act (DA) classification plays an important role in understanding, interpreting and modeling dialogue. Dialogue acts (DAs) represent the intended meaning of an utterance, which is associated with the illocutionary force (or the speaker's intention), such as greetings, questions, requests, statements, and agreements. In natural language…

Recent studies have accumulated to suggest that children, akin to adults, exhibit a processing advantage for formulaic language (e.g. "save energy") over novel language (e.g. "sell energy"), as well as sensitivity to phrase frequencies. The majority of these studies are based on formulaic sequences in their canonical form. In…

Metaphor of modality in the Hallidayan linguistic framework is manifested through a transition from implicit modal expressions to explicit modal expressions, encompassing metaphor of modalization and metaphor of modulation. This article conducts a corpus-based investigation to examine the prevalence of metaphors of modalization in English academic…

Despite the non-native English-speaking teachers' (NNESTs) movement, the literature documents widespread discrimination against NNESTs particularly in hiring discourse in English as a foreign language (EFL) contexts. The present study aims to shed light on another aspect of this discrimination in EFL internship advertisements by investigating the…

Scholarly attention to foreign language learning boredom (FLLB) has surged in recent years. However, little is known about L2 learners' online FLLB experience prompted by the COVID-19 pandemic. To fill this gap, the present mixed-methods study explores the conceptual structure and sources of FLLB in an online learning environment. A corpus of 348…

This article examines theoretical and methodological issues raised when Legitimation Code Theory (LCT) is used to investigate knowledge-building practices in online and face-to-face teaching environments where English is the medium of instruction (EMI) in non-Anglophone higher education (HE) contexts. The article introduces two dimensions of LCT,…

Rapid improvements in the capabilities of machine translation (MT) raise questions about possible increases in overreliance on MT among lower-proficiency or novice level language learners. This study investigated how such learners described their use of online MT for independent reading and writing tasks, and whether this included descriptions…