Decoding Metadiscourse Markers in Estonian Academic Texts: A Language-Specific Perspective

This article presents the development of a specialized data set for analyzing Estonian metadiscourse markers in academic usage, extending Hyland's interpersonal metadiscourse model to a non–Indo-European language. Our goal is to show how metadiscourse, as a feature of a writing tradition, can reveal aspects of writing in languages other than English, complementing the traditionally Anglo-centric perspective in metadiscourse research. By analyzing 21 Estonian linguistics research articles, we offer a transparent procedure to address methodological issues in metadiscourse studies and demonstrate the need for language-specific adjustments in the framework. We introduce statistical methods for analyzing multidimensional associations among marker categories, linguistic level, and rhetorical text structure. The findings suggest that Hyland’s metadiscourse model can be adjusted for specific languages, highlighting the influence of language structure on metadiscourse category variation and linguistic expression levels. The study reinforces that the distribution and manifestation of metadiscourse are shaped, among other factors, by unique writing traditions.

Authors

Institutions

Publication Details

Journal
Written Communication
Published
2024-10-28
DOI
https://doi.org/10.1177/07410883241286901
Citations
4
Primary Topic
Discourse Analysis in Language Studies
Type
article
Field-Weighted Citation Impact
15.63
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Decoding Metadiscourse Markers in Estonian Academic Texts: A Language-Specific Perspective

Helen Hint, Djuddah A. J. Leijen, Helena Lemendik, Christer Johansson
4 citations
Written Communication
Discourse Analysis in Language Studies
15.63
article

Decoding Metadiscourse Markers in Estonian Academic Texts: A Language-Specific Perspective

Helen Hint, Djuddah A. J. Leijen, Helena Lemendik, Christer Johansson
article en
4 citations

Abstract

This article presents the development of a specialized data set for analyzing Estonian metadiscourse markers in academic usage, extending Hyland's interpersonal metadiscourse model to a non–Indo-European language. Our goal is to show how metadiscourse, as a feature of a writing tradition, can reveal aspects of writing in languages other than English, complementing the traditionally Anglo-centric perspective in metadiscourse research. By analyzing 21 Estonian linguistics research articles, we offer a transparent procedure to address methodological issues in metadiscourse studies and demonstrate the need for language-specific adjustments in the framework. We introduce statistical methods for analyzing multidimensional associations among marker categories, linguistic level, and rhetorical text structure. The findings suggest that Hyland’s metadiscourse model can be adjusted for specific languages, highlighting the influence of language structure on metadiscourse category variation and linguistic expression levels. The study reinforces that the distribution and manifestation of metadiscourse are shaped, among other factors, by unique writing traditions.

Written CommunicationVol. 42(1)
Institute of the Estonian Language (EE), University of Bergen (NO), University of Tartu (EE)
Quality Education
Openalex Percentile: Top 1%
Discourse Analysis in Language Studies
15.63
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Decoding Metadiscourse Markers in Estonian Academic Texts: A Language-Specific Perspective — Helen Hint, Djuddah A. J. Leijen, et al. · Written Communication (2024) | TGRS Research Map | TGRS