Internet terminology in modern German: semantics and structure

Abstract The article presents an in-depth analysis of the formation of terminology in the professional language of the Internet in German and offers predictions about its future development, in line with the evolution of this area of knowledge. Drawing from a corpus of about 8,000 terms and term combinations, the authors explore the dynamics of German Internet terminology, propose a timeline for the emergence of these terms in relation to advancements in science and technology, and identify key methods of term formation along with their semantic characteristics. The primary source of expansion in German Internet terminology comes from Anglo-American borrowings, which, during their adaptation into German, have undergone structural and semantic assimilation. The main methods of term formation within the examined terminology are compounding (with a predominance of binary structures), derivation, and abbreviation. German Internet terminology is characterized by synonymy and polysemy, reflecting the dynamic nature of network technology development. A distinctive feature of this terminology is the formal redundancy in expressing a single concept, leading to the formation of synonymous sets. The uniqueness of the semantic paradigm of these terms lies in the extralinguistic factors that influence terminological synonymy, polysemy, and the broader system of structural relations in German Internet terminology.

Authors

Institutions

Publication Details

Journal
Glottotheory
Published
2024-11-01
DOI
https://doi.org/10.1515/glot-2024-2007
Primary Topic
Linguistic research and analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Internet terminology in modern German: semantics and structure

Yuriy Кiyko, Svitlana Kiyko
Glottotheory
Linguistic research and analysis
article

Internet terminology in modern German: semantics and structure

Yuriy Кiyko, Svitlana Kiyko
article en

Abstract

Abstract The article presents an in-depth analysis of the formation of terminology in the professional language of the Internet in German and offers predictions about its future development, in line with the evolution of this area of knowledge. Drawing from a corpus of about 8,000 terms and term combinations, the authors explore the dynamics of German Internet terminology, propose a timeline for the emergence of these terms in relation to advancements in science and technology, and identify key methods of term formation along with their semantic characteristics. The primary source of expansion in German Internet terminology comes from Anglo-American borrowings, which, during their adaptation into German, have undergone structural and semantic assimilation. The main methods of term formation within the examined terminology are compounding (with a predominance of binary structures), derivation, and abbreviation. German Internet terminology is characterized by synonymy and polysemy, reflecting the dynamic nature of network technology development. A distinctive feature of this terminology is the formal redundancy in expressing a single concept, leading to the formation of synonymous sets. The uniqueness of the semantic paradigm of these terms lies in the extralinguistic factors that influence terminological synonymy, polysemy, and the broader system of structural relations in German Internet terminology.

GlottotheoryVol. 15(2)
Yuriy Fedkovych Chernivtsi National University (UA), Khmelnytskyi National University (UA)
Quality Education
Openalex Percentile: Top 67%
Linguistic research and analysis
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.