Translation Studies Cheat Sheet

The core ideas of Translation Studies distilled into a single, scannable reference — perfect for review or quick lookup.

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Quick Reference

Equivalence

The relationship between a source text and target text in which the translation is considered to correspond to the original at some level, whether formal (structural), dynamic (effect-based), or functional (purpose-based).

Domestication and Foreignization

Two translation strategies described by Lawrence Venuti: domestication adapts the text to the norms and expectations of the target culture, while foreignization retains elements of the source culture's foreignness.

Source Language and Target Language

The source language (SL) is the language of the original text being translated, while the target language (TL) is the language into which the text is being translated.

Dynamic Equivalence

A translation approach developed by Eugene Nida that prioritizes producing the same effect on the target audience as the original had on its source audience, rather than preserving the exact form of the source text.

Localization

The process of adapting a product, content, or service to meet the linguistic, cultural, and technical requirements of a specific target market, going beyond translation to include design, functionality, and cultural norms.

Skopos Theory

A functionalist translation theory developed by Hans Vermeer stating that the purpose (skopos) of the translation determines the methods and strategies used, making the target text's function primary.

Descriptive Translation Studies (DTS)

An approach developed by Gideon Toury that studies translations as facts of the target culture, analyzing patterns and norms that govern translation behavior rather than prescribing how translations should be made.

Translator's Invisibility

Lawrence Venuti's concept that dominant Anglo-American translation culture favors fluent, transparent translations that read as if originally written in English, making the translator's labor and the text's foreign origin invisible.

Machine Translation (MT)

The use of software to automatically translate text from one language to another, including rule-based, statistical, and neural machine translation approaches.

Post-Editing

The process of reviewing and correcting machine-translated output by a human translator to achieve an acceptable level of quality, ranging from light post-editing for gist comprehension to full post-editing for publication quality.

Key Terms at a Glance

Audiovisual Translation:Translation for audiovisual media, including subtitling, dubbing, voice-over, and audio description.

Back Translation:Translating a text from the target language back into the source language to verify accuracy.

CAT Tools:Computer-Assisted Translation tools that help human translators with translation memory, terminology management, and workflow.

Consecutive Interpreting:Interpreting performed after the speaker pauses, often with note-taking, in legal, medical, or diplomatic settings.

Cultural Untranslatability:The difficulty of translating concepts embedded in one culture that lack equivalents in another.

Descriptive Translation Studies:Toury's framework for studying actual translation practices and norms rather than prescribing rules.

Domestication:A translation strategy that adapts the text to the norms and expectations of the target culture.

Dubbing:Replacing the original audio track of a film or show with a translated voice track synchronized to the actors' lip movements.

Dynamic Equivalence:Nida's principle of translating to produce the same effect on the target audience as on the source audience.

Foreignization:A translation strategy that retains the foreignness of the source text, challenging target-culture norms.

Formal Equivalence:Translation that preserves the form and structure of the source text as closely as possible.

Interpreting:The oral transfer of meaning between languages in real time, as distinct from written translation.

Localization:Adapting content to a specific market beyond translation, including cultural, technical, and design elements.

Machine Translation:Automated translation of text using software, including rule-based, statistical, and neural approaches.

Neural Machine Translation:A deep-learning approach to MT that processes entire sentences, producing more fluent and contextual translations.

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