Aug 2026· Frontiers in Communication· 0 citations· 32 references
Abstract
This study presents the first systematic literature review of research on Estonian Sign Language (EVK) published between 1985 and 2024.
Using Okoli's eight-step systematic literature review (SLR) model, we identified and screened 52 sources. Twenty-one were excluded on the basis of predefined criteria, leaving 31 studies for analysis. We examined how data-collection methods, annotation practices, and analytical frameworks have shaped the development of EVK linguistics.
The findings reveal a gradual shift from descriptive documentation toward more empirical and methodologically reflective research. Many studies reflect the methodological conditions of their time, including a reliance on elicited rather than naturalistic data, non-standardized transcription practices until 2006, and analytical frameworks shaped by earlier linguistic traditions of the 1960s–2000s. Across the reviewed literature, methodological conditions varied considerably, reflecting different historical phases in which formal training opportunities in linguistics, research teams with EVK proficiency and corpus-based infrastructures were not yet consistently available. Only a small number of studies reported the use of ELAN annotation or systematically documented participatory practices involving Deaf collaborators or heritage signers.
The review highlights significant progress in methodological awareness but underscores persistent gaps in the Estonian Sign Language research landscape, linguistic infrastructure and involvement of Deaf researchers. By tracing EVK research across historical phases, the review identifies priorities that could inform a collaborative, ethically grounded and corpus-based research agenda. Such an agenda could support cooperation among universities, Deaf community organisations, researchers, educators and language-policy actors, while enhancing data transparency, reproducibility and the sustainable development of EVK research.
English has become the dominant language of communication in sport sciences, yet many students continue to experience difficulties in acquiring specialised vocabulary, technical terminology, and discipline-specific discourse required for academic and professional contexts. Although corpus linguistics offers a robust ev...
Kristian Burhan, I. Ifdil, Rudyanto Rudyanto· Lentera Negeri· 0 citations
This study maps the emerging themes and methodological approaches characterizing translation and interpreting (T&I) research published by Indonesian-affiliated authors between 2020 and 2024. A systematic mapping review design was adopted, drawing on Grant and Booth (2009) and Cooper (2016), with data collected from Goo...
This study integrates bibliometric visualization with content coding to clarify the development, knowledge structure, and research gaps of digital discourse studies, offering directions for future interdisciplinary inquiry.
Yifan Liu, Omar Ali Al-Smadi, Siti Soraya Lin Abdullah Kamal et al.· Journal of Nusantara Studies...· 0 citations
A review of journal articles published between 2020 and 2024 that discuss the design, effectiveness, perception, and lexicographical quality of Arabic digital dictionaries identifies research gaps regarding the integration of artificial intelligence and deeper linguistic features into Arabic digital dictionaries.
Nadela Yusrizal, Asep Sopian, Mia Nurmala· 1 citation
Poetry is a unique form of expression valued for its role in preserving cultural heritage. Analyzing Arabic poetry is time-consuming and requires a high level of linguistic expertise; therefore, computational methods are useful, as they enable large-scale, extensive, and systematic analysis of poetry, thereby improving...
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Microsoft Research Blog· microsoft.comOct 15, 2026
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.