Text social information includes the cognitive processes and social communication skills that support real or hypothetical human thought or interaction. The current measure of text social information is genre. However, genre is a limited measure because of poor operationalization, limited specificity, and overlap with structural and linguistic…

As intelligent textbooks become more ubiquitous in classrooms and educational settings, the need arises to automatically provide formative feedback to written responses provided by students in response to readings. This study develops models to automatically provide feedback to student summaries written at the end of intelligent textbook sections.…

This study aims to investigate the linguistic strategies used in public health communication during the COVID-19 pandemic, according to the regulations stipulated by the Center for COVID-19 Situation Administration (CCSA) of Thailand. A corpus of 1.4 million words was retrieved from Thai online mainstream news media written in Thai, and…

This study aims to examine the relationship between the productive knowledge of some lexical and phraseological indices and the quality of English as a Foreign Language (EFL) learners' writing. A sample of 120 expository essays, written by semesters 1 and 5 university students in a less proficient EFL context, are rated by human evaluators and…

This article argues that consumer-oriented machine translation software applications are disrupting foreign language education. In order to mitigate this impact, the article provides guidance on how to transform teachers' perceptions of online translators. This process is a critical precondition for the gradual and thoughtful implementation of…

Using machine translation (MT) tools for language learning has become a common practice among language students in recent years. Studies have investigated how students use MT, how students and teachers perceive its benefits and drawbacks and how helpful it is for language learning. These studies indicate that students think MT tools are helpful in…

This study quantitatively measures the variation in language derived from a targeted set of digital game mechanics. Mechanics refer to the design elements of a game that make up the overall gameplay experience, determining player actions and the degree of language interaction. A corpus was compiled by extracting the language files from two popular…

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…