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Translation memory: Standards, History & Measurement

A translation memory (TM) is a database that stores "segments", which can be sentences, paragraphs or sentence-like units (headings, titles or elements in a list) that have previously been translated, in order to aid human translators. The translation memory stores the source text and its corresponding translation in language pairs called "translation…

Language: English [EN]
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Translation memory topic overview

The analysis highlights Standards, History and Measurement as prominent areas in the source structure around Translation memory.

Related topics
36
Source areas
6
Connected nodes
42
Extracted relationships
129
Concept neighborhoods
18
Bridge connections
42

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 13 topics
Related standards · 11 topics
Using TMs · 6 topics
History · 4 topics
Recent trends · 1 topics
Types of TM systems · 1 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Using TMs

Types of TM systems

History

Recent trends

Related standards

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Translation memory connects Entity context

The extracted context around Translation memory shows recurring relationship patterns in the source. For example, Translation memory → Adrià, An, Anthony, Barbara, Barcelona, Bellaterra, CAT, Computer-aided, Copenhagen, Current, Dragsted, Gabriela Saldanha, Heyn, In, Insights, Jerome, La, London, Lynne Bowker, Machine-Translation Age Another extracted example is Translation memory → ALPS, Any, Automated Language Processing Systems, Before, Brigham Young University, European Community, In, Kay, Martin Kay's, One, Only, Peter Arthern, Proper Place, Repetitions Processing, The, This, TM, Tools. Use these groups to spot repeated connection types before inspecting the individual relationships.

Translation memory

Top relations

related to Further reading · 42
Translation memory → Adrià, An, Anthony, Barbara, Barcelona, Bellaterra, CAT, Computer-aided, Copenhagen, Current, Dragsted, Gabriela Saldanha, Heyn, In, Insights, Jerome, La, London, Lynne Bowker, Machine-Translation Age
related to history · 18
Translation memory → ALPS, Any, Automated Language Processing Systems, Before, Brigham Young University, European Community, In, Kay, Martin Kay's, One, Only, Peter Arthern, Proper Place, Repetitions Processing, The, This, TM, Tools
related to Main obstacles · 12
Translation memory → As, Full, However, In, Maintenance, Note, Technical, The, There, TM, Translation, US
related to Main benefits · 9
Translation memory → Accelerating, Enabling, Ensuring, For, Reducing, Their, This, TM, Translation
related to PO · 9
Translation memory → Common, Gettext PO, Gettext Portable Object, GNU Gettext Tools, PO, Several, Though, Translate Toolkit, Typically
related to Recent trends · 9
Translation memory → Although, Author, LISA OSCAR, One, Text, This, Translation, XLIFF, XML
related to External links · 5
Translation memory → Power Shifts, TM, Translation, Web-Based Translation Memory, Word
related to Types of TM systems · 5
Translation memory → Centralized, Desktop, Server-based, They, TM
related to SRX · 4
Translation memory → Segmentation Rules, SRX, The, TMX
related to Using TMs · 4
Translation memory → In, Some, The, Typical

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

translation tm memory text translators systems translated use memories source translator used texts also segments process format standard system quality

Translation memory relationships Subject–Predicate–Object triples

TTTA extracted 129 structured relationships around Translation memory. Examples in this analysis include document file name → instance of → Context is often defined by the surrounding sentences and attributes and Translation memory → related to External links → Translation. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
document file nameinstance ofContext is often defined by the surrounding sentences and attributes0.80text
dateinstance ofContext is often defined by the surrounding sentences and attributes0.80text
and permissionsinstance ofContext is often defined by the surrounding sentences and attributes0.80text
Translation memoryrelated to External linksTranslation0.60section
Translation memoryrelated to External linksTM0.60section
Translation memoryrelated to External linksWord0.60section
Translation memoryrelated to External linksPower Shifts0.60section
Translation memoryrelated to External linksWeb-Based Translation Memory0.60section
Translation memoryrelated to FunctionsThe0.60section
Translation memoryrelated to Further readingDragsted0.60section
Translation memoryrelated to Further readingBarbara0.60section
Translation memoryrelated to Further readingSegmentation0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Translation memory bring nearby vocabulary together. In this analysis, examples include Translation, Text and Tm. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Translation memory
    • Translation
    • Text
    • Tm
    • Memories
    • Used
    • Source
    • Systems
    • Managers
    • Also
    • Translated
    • Use
    • Segments
  • translation memory
    • Translation
    • Text
    • Tm
    • Memories
    • Managers
    • Matches
    • Systems
    • Use
    • Used
    • Source
    • Xml
    • Also
  • source text
    • Target
    • Text
    • Translation
    • Tm
    • Translator
    • Units
    • Translated
    • Similar
    • Xml
    • Systems
    • Documents
    • Matches
  • translation management system
    • Text
    • Memories
    • Tm
    • Systems
    • Used
    • Source
    • Texts
    • Managers
    • Translated
    • Use
    • Machine
    • Translators
  • computer-assisted translation
    • Text
    • Memories
    • Used
    • Source
    • Systems
    • Managers
    • Translated
    • Use
    • Machine
    • Translators
    • Matches
    • Similar
  • terminology management systems
    • Machine
    • Tm
    • Standard
    • Data
    • Use
    • Quality
    • System
    • Texts
    • Used
    • Translation
    • Memories
    • Effect
  • machine translation
    • Terminology
    • Text
    • Memories
    • Data
    • Standard
    • Used
    • Source
    • Systems
    • Managers
    • Translated
    • Use
    • Machine
  • text file
    • Translation
    • Tm
    • Translator
    • Similar
    • Translated
    • Target
    • Format
    • Xml
    • Systems
    • Units
    • Translators
    • File

Connections between topic areas Semantic bridges

For Translation memory, one of the stronger structural bridges in this analysis connects Translation memory with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Translation memoryOverview · splits 29 ⟂ 14
Translation memoryRelated standards · splits 31 ⟂ 12
Translation memoryUsing TMs · splits 36 ⟂ 7
Translation memoryHistory · splits 38 ⟂ 5

Map overview Semantic statistics

Translation memory

Nodes43
Edges42
Triples129
Avg. degree1.95
Density0.046512
Components1

Source & methodology

TTTA analyzes the structure around Translation memory to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Standards, History & Measurement, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Translation memory · EN edition · Analysis: TopicsToTalkAbout

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