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Abstract Neural Machine Translation (NMT) for low-resource languages such as Assamese faces significant challenges due to the scarcity of parallel corpora. To address this, we propose a novel zero-shot translation framew...

Sign Language Translation (SLT) is fundamentally a process of intersemiotic translation, involving the transfer of meaning between visual-gestural and spoken language systems. However, most existing SLT studies focus on ...

Customer feedback is pivotal in enhancing service quality and user satisfaction across digital platforms. However, traditional sentiment analysis methods often struggle with informal languages, contextual nuances, and as...

Despite the impressive strides of large language models (LLMs) in text summarization, their effectiveness still hinges on well-crafted prompts, a process that remains labor-intensive, subjective, and difficult to scale. ...

Background: In South Africa, the Audiology curriculum remains rooted in Eurocentric epistemologies that do not reflect the lived realities, languages and cultural knowledge systems of Black African First-Language Speaki...

This qualitative case study examines how a third-grade teacher in Hawaiʻi implemented Transformative Social-Emotional Learning (tSEL) to support multilingual learners (MLs) in a Title I classroom. Grounded in a framewor...

Abstract This paper explores the rapid evolution of virtual classrooms over the past decade. It examines their usefulness in language teaching, especially as teachers' roles change. The study investigates how virtual lea...

Background: Arabic language proficiency is a fundamental requirement for students of Islamic Economics and Business, as it enables access to primary Sharia sources, comprehension of Islamic economic literature, and maste...

The rapid expansion of digital communication has made social media an integral part of daily life, yet it has simultaneously amplified the reach of harmful behaviors. Early detection of cyberbullying is recognized as a c...

This study presents Duygu-Turk, a novel deep learning-based sentiment analysis framework specifically designed for the Turkish language which is characterized by its agglutinative and morphologically rich structure. Unli...

Dear Readers,It gives me great pleasure to announce the fourth regular issue of 2026. In this issue, 6 papers by 25 authors from 6 countries - Colombia, Greece, Mexico, Republic of Serbia, South Africa, Türkiye ...

In this paper we raise the question “why is agreement so common across natural languages?”. We will argue that the challenge of grammar inference in natural and artificial languages provides key insights into the ubi...

This article examines the notion of ‘task’ in the context of language teaching and learning. While the main focus lies on German as a Foreign Language, the different meanings and interpretations of tasks in English a...