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Translation Tools

Bibliographic Data

ID23687248
AuthorsKeiran J Dunne (0000-0001-9138-9864, corresponding author)
Year2026
Pages1-8
Publication date2026-04-27
Open AccessYes
TypeCHAPTER
VenueEncyclopedia of Applied Linguistics (SOURCE_BOOK)
PublisherWiley (PUBLISHER • GB)
DOI10.1002/9781405198431.wbeal1225
OpenAlexW4255655241
ISBN9781405198431
LanguageEN
References cited2

In the wake of the digital revolution and the advent of the knowledge economy, the concept of “tool” has expanded beyond its traditional meaning of an implement for performing or facilitating mechanical operations to encompass specialized software applications that help users accomplish specific tasks on computers. In this way, translation‐specific applications are typically referred to as “translation tools.” More than mere jargon, this usage underscores the commonalities between specialized software applications and their mechanical forebears: Both are operated by people; both are designed to facilitate specific tasks; and both are only as good as their operators. This entry offers an overview of translation tools, the problems they have been designed to solve, the ways in which they have evolved, and their limitations, with a focus on their primary components: terminology management and translation memory.

Computer-assisted translation · Data science · Focus (optics) · Human–computer interaction · Jargon · Linguistics · Machine translation · Meaning (existential) · Programming language · Software engineering · Terminology · Translation (biology) · Artificial Intelligence · Biomedical Text Mining and Ontologies · Computer Science · linguistics and terminology studies · Semantic Web and Ontologies · Software

  • Pragmatics and Cognition

    Open Access•Victoria Escandell-Vidal, Victoria Escandell‐vidal•Encyclopedia of Applied Linguistics•2012

Highly citedNo

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Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae