The impact of text length on the estimation of lexical diversity has captured the attention of the scientific community for more than a century. Numerous indices have been proposed, and many studies have been conducted to evaluate them, but the problem remains. This methodological review provides a critical analysis not only of the most commonly…

In this brief forum article, I draw from the disciplinary orientation of linguistic anthropology to discuss how a collection of linguistic and semiotic resources gets "enregistered" as the "language" for specific communicative activities. Enregisterment is an ongoing social and ideological process whereby a semiotic corpus gets…

This paper analyses the methodologies in 148 empirical data-driven learning studies for L2 English in prestige journals to examine best practice. Manual coding and corpus analysis of key words and n-grams from the past 5 years (2018-2022) explore the field as a whole and how methodologies have evolved, suggesting improvements and future avenues…

Research has shown that bilingual individuals might encode autobiographical memories in either their first language (L1) or their second language (L2), depending on the language spoken at the time of the event. Although language mixing is a common occurrence among multilingual speakers, previous studies have largely overlooked mixed…

Corpus analysis offers a more accurate understanding of a language than intuition but is not widely used in foreign language instruction. This study uses a hermeneutic-phenomenology approach and content analysis to examine the impact of a corpus literacy course on the perceptions and performance indicators of 29 English language teachers. The…

Technological advances have made the ability to translate no longer exclusively belong to humans. Today, machine translation has turned into a tool with superior performance to convert text between languages without the need for human intervention. One of the translation research foci is the studies of causative translation, especially from…

Vocabulary knowledge has been recognized as a crucial component in learning and teaching of both native and non-native learners, text understanding, and educational success (Coxhead, 2018; Saeedi et al., 2023; Schmitt et al., 2021), leading to the development of word lists for different purposes. Hence, this study aimed at developing a newspaper…

Even though corpora have transformed language education, the majority of corpus-related research focuses on the teaching of writing. Via a systematic review of previous studies and a survey of language corpora available, this study aims to ascertain whether and to what extent the teaching of speaking, especially of conversation skills, to EFL…

Despite the widely used word lists in English as a second or foreign language learning, few attempts have been made to create an academic spoken collocation list, which holds significant potential for enhancing learners' aural and oral abilities in academic communication. This study created a list of the most frequently used and pedagogically…

Machine translation (MT) is the automated process of translating text between different languages, encompassing a wide range of language pairs. This study focuses on non-professional bilingual speakers of Turkish and English, aiming to assess their ability to discern accuracy in machine translations and their preferences regarding MT. A particular…

Learning vocabulary is a central but yet complex aspect of learning a language. Hence, researchers stress the importance of facilitating vocabulary development via a structured approach to target words and recycling. While teaching materials have the potential to provide this structure to all students in a classroom, few studies have investigated…

While evidence has accumulated to support the argument of shared computational mechanisms underlying language comprehension between humans and large language models (LLMs), few studies have examined this argument beyond native-speaker populations. This study examines whether and how alignment between LLMs and human brains captures the homogeneity…

This study aims to evaluate the extent to which Taylor Swift's song lyrics incorporate vocabulary from the Oxford 3000 and 5000 word lists and to categorize these words based on CEFR levels. The goal is to narrow down the vast selection of songs available to EFL learners, focusing on the most essential vocabulary to enhance their learning…

This study aims to provide a comprehensive profile of collocational competence, a key component of one's overall linguistic competence. For the maximum of ecological validity, we elicited naturalistic oral/written production data from 84 Chinese intermediate EFL learners and performed a 2×2 fashion of analysis on their performance in each of the…

Syntactic complexity has long been used to gauge language learners' performance, proficiency, and development, offering language teachers valid recommendations for syllabus design and materials development. Progress in syntactic complexity research foreshadows the imperative of measuring syntactic features at a high level of granularity, which…