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All Journal ELT Worldwide: Journal of English Language Teaching REiLA: Journal of Research and Innovation in Language
Toan, Ly Ngoc
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Humanities Education Languange, Linguistic, Communication & Media Social Sciences

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English Competence of Conversational Interaction between Teachers and Students in Classrooms Toan, Ly Ngoc
ELT Worldwide: Journal of English Language Teaching Vol 11, No 1 (2024)
Publisher : Pascasarjana Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/eltww.v11i1.61043

Abstract

The main goal of this study is to improve the ability of teachers and students to converse in English in high schools in the province of Dong Nai. The study framework is based on the sociocultural theory of Vygotsky, with additional contributions from Long's interaction theory and Brown's communicative English teaching methodology. The research findings show that the four factors including belonging, expectation, relationship, and motivation have a positive and statistically significant impact on the conversational English-language interactions between teachers and students in this educational context. These findings were obtained through a survey of 148 English teachers in high schools located in Dong Nai and subsequent data analysis using SPSS 20 software. The study's findings led the researchers to suggest a number of workable methods for improving teachers' ability to converse with learners in English. These kinds of initiatives are expected to have a major role in improving the quality of education as a whole, bringing it into compliance with international norms, and encouraging increased competition with industrialized countries in the area. The aforementioned undertaking signifies a deliberate attempt to further progress language learning in Vietnam.
Clausal-Internal Switching in Urdu-English: An Evaluation of the Matrix Language Frame Model Ali, Asad; Jabbar, Qaisar; Malik, Nazir Ahmad; Kiani, Humayun Baber; Noreen, Zumra; Toan, Ly Ngoc
REiLA : Journal of Research and Innovation in Language Vol. 3 No. 3 (2021): REiLA : Journal of Research and Innovation in Language
Publisher : The Institute of Research and Community Service (LPPM) - Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/reila.v3i3.6774

Abstract

The core of this paper is to employ the Matrix Language Frame (MLF) model on Urdu-English clausal-internal switching to identify whether the Matrix Language Frame model potentially accounts for the bilingual linguistic competence efficiently. For this, a qualitative methodology has been adopted for this study. For empirical evidence, data has been taken from eighty Urdu- English bilinguals within a naturalistic setting after categorizing them into four groups, and each group has 20 participants. After conducting audio-recording through non-participant interviews in an informal setting, the collected data was transcribed. The MLF model posited that two languages are fused in a single Intra-CP of a mixed string. The linearly dominant language is Matrix language (ML) that incorporates only late outsider system morphemes. Odd is Embedded language (EL) that supplies content morphemes satisfying the system morpheme principle (SMP) uniformly and morpheme order principle (MOP). The present study ubiquitously scrutinizes that naturalistic data of Urdu-English bilinguals highlights the innovative results: it predicts that Matrix language (ML) is unidentified in intra-CP, no late outsider system morphemes linearize a code-switched sentence, unparalleled constituent and clausal structure, System Morpheme Principle (SMP) and Morpheme Order Principle (SMP) provides the illegitimate output and computes ungrammatical sentences hence; the Matrix Language Frame model redundantly and inconsistently accounts for Urdu-English naturalistic data and its principles have failed to compute Urdu-English naturalistic data.
Contrastive Semantics in Cross-Linguistic Analysis: A Comprehensive Review and Synthesis of Five Crucial Models Toan, Ly Ngoc
REiLA : Journal of Research and Innovation in Language Vol. 7 No. 1 (2025): REiLA : Journal of Research and Innovation in Language
Publisher : The Institute of Research and Community Service (LPPM) - Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dew37f39

Abstract

This study addresses the pressing need for a unified analytical framework in cross-linguistic semantics by integrating five pivotal models: Natural Semantic Metalanguage (NSM), Conceptual Metaphor Theory (CMT), Frame Semantics (FS), Semantic Field Theory (SFT), and Cognitive Grammar (CG) to examine meaning construction in English and Vietnamese. Although substantial theoretical progress has been made in semantic studies, existing research often remains fragmented, with limited integration across models and minimal application to typologically distinct languages. Employing a mixed-methods design, this study analyzed ten short stories using Wordsmith 8.0 and NVivo 14, capturing both quantitative patterns and qualitative nuances in linguistic structure. The findings reveal not only shared semantic primitives and embodied metaphors but also significant cultural variations in conceptual frameworks, including collectivist and individualist tendencies reflected in frame activation and metaphor usage. These insights contribute to the development of an integrated semantic framework that supports more nuanced cross-linguistic comparisons and highlights the dynamic interplay among cognition, language, and culture. Beyond its theoretical significance, the proposed framework holds practical value for language education, translation practices, and computational linguistics by enabling culturally informed semantic analysis. Ultimately, this research reconceptualizes contrastive semantics as an interdisciplinary and culturally grounded field, offering essential tools for enhancing semantic.
Co-Authors Ali, Asad Jabbar, Qaisar Kiani, Humayun Baber Malik, Nazir Ahmad Noreen, Zumra