Machine translation post-editing (MTPE) is a process where humans and machines meet. While previous researchers have adopted psychological and cognitive approaches to explore the factors affecting MTPE performance, little research has been carried out to simultaneously investigate the post-editors' cognitive traits and the post-editing task…

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…

This study examines the application of corpus linguistics in English language teaching (ELT) in Colombia, where its practical adoption remains limited compared to many developed countries. Data were gathered through a survey of English instructors at Colombian universities to assess their familiarity with corpus linguistics. Findings indicate…

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…

In the context of artificial intelligence, the use of machine translation in English reading classroom teaching is a more common learning method. In traditional teaching methods, machine translation is more convenient and faster than human translation, but it often deviates from the original text in terms of grammar and sentence pattern. Based on…

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…

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…

This paper explores the development of an intelligent translation system for spoken English using Recurrent Neural Network (RNN) models. The fundamental principles of RNNs and their advantages in processing sequential data, particularly in handling time-dependent natural language data, are discussed. The methodology for constructing the…

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…

We collaborated to investigate humor in the existing corpus of Kere (ISO639-3: sst). This collaboration was a useful test of the Kere corpus and led to the rediscovery of unarchived video recordings, which contained important contextual information. These videos had been deprioritized in the original deposit, but they contained important…