This article sets out to explore the relationships between parental language ideologies, and language use and negotiation in parent-child interaction. The primary dataset is composed of around 10 h of audio recordings of everyday interactions of family members (i.e. a Brazilian mother, a Norwegian father, and a 3-year old Norwegian born daughter)…

Information technology provides a lot of convenience for humans in completing their tasks and getting results according to targets. In line with that, language teachers have a duty to find out the level of language skills and forms of language errors in students. Machine Learning as part of technology can be maximized to detect forms of Arabic…

Discourse markers (DMs) as linguistic devices have a significant role in the coherence of conversation--a speakers' fluency. With the growing use of English worldwide, it is of great importance to focus on DMs as an essential part of communication which provides discourse coherence. This study was conducted to develop a description of spoken…

This study explored the effects of three types of lexical tools (MOOCs, E-dictionaries, and lexical concordancers) and three types of lexical applications (technology-mediated communication-based applications (TMCA), Anki as an e-flashcard application, and WordUp as a dedicated lexical application) on learning academic core words among a sample of…

As a spoken word unfolds over time, similar sounding words ("cap" and "cat") compete until one word "wins". Lexical competition becomes more efficient from infancy through adolescence. We examined one potential mechanism underlying this development: lexical inhibition, by which activated candidates suppress…

University students, especially language learners, have increasingly been using machine translation (MT) systems in the last decade and for all kinds of texts, including homework, assignments and exams. This ubiquity does not translate into visibility as few teachers address the subject in class. Several researchers have shown that MT systems,…

The purpose of the present study was to investigate if following data-driven learning (DDL) to raise the learners' awareness of discourse organizers through concordancing improves their comprehension of English academic lectures. To address this issue, the current study adopted a quasi-experimental (comparison group, pretest-posttest) design. 96…

Translators employ an array of tools to streamline the translation process, ensuring precision and coherence. The necessity of these tools is particularly pronounced when tackling authentic materials, such as texts from the United Nations (UN). Among these tools, corpora stand out as a pivotal resource. In light of this, this study undertook a…

Previous research in English as a Lingua Franca (ELF) has revealed that deviations in lexicogrammar are not always random, but a result of underlying communicative processes (Cogo & Dewey, 2012; Guziurová, 2020; Jafari, 2021; Ranta, 2013, 2022). Most previous studies relied upon spoken interactions, particularly in business and academic…

The present study investigates the multiple constraints on the processing of English dative alternation by Chinese EFL (English as a Foreign Language) learners. The intermediate and advanced learners completed an acceptability judgment task which was composed of 30 dative alternations selected from a spoken corpus. The results showed that the…

We investigated spelling errors in English and Spanish essays by Spanish-English dual language learners in Grades 1, 2, and 3 (N = 278; 51% female) enrolled in either English immersion or English-Spanish dual immersion programs. We examined what types of spelling errors students made, whether they made spelling errors that could be due to…

Perceptive verbs have important function, especially in Cognitive Linguistics perspective, because these verbs are directly related to real experience. Cognitive linguistics focuses on the study of the relationship between language, mind, and socio-physical experience. Thus, this paper discusses how the lexical semantic characteristics…

The research of Systemic Functional Linguistics has been quite in-depth in both theory and practice. However, many linguists hold that Systemic Functional Linguistics has no hypothesis testing or experiments and its research is only qualitative. Analyses of the corpus, intelligent computing and language evolution on the ideological background of…

Statistical learning is often taken to lie at the heart of many cognitive tasks, including the acquisition of language. One particular task in which probabilistic models have achieved considerable success is the segmentation of speech into words. However, these models have mostly been tested against English data, and as a result little is known…

Massive Open Online Courses (MOOCs) and Open Educational Resources (OER) are rapidly growing, but are not usually offered in multiple languages due to the lack of cost-effective solutions to translate the different objects comprising them and particularly videos. However, current state-of-the-art automatic speech recognition (ASR) and machine…