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Example-based machine translation: History, Phrasal verbs & Translation by analogy

Example-based machine translation (EBMT) is a method of machine translation often characterized by its use of a bilingual corpus with parallel texts as its main knowledge base at run-time. It is essentially a translation by analogy and can be viewed as an implementation of a case-based reasoning approach to machine learning.

Language: English [EN]
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Example-based machine translation topic overview

The analysis highlights History, Phrasal verbs and Translation by analogy as prominent areas in the source structure around Example-based machine translation.

Related topics
14
Source areas
4
Connected nodes
18
Extracted relationships
36
Concept neighborhoods
12
Bridge connections
18

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 · 6 topics
Phrasal verbs · 5 topics
History · 2 topics
Translation by analogy · 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

Translation by analogy

History

Phrasal verbs

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 Example-based machine translation connects Entity context

The extracted context around Example-based machine translation shows recurring relationship patterns in the source. For example, Example-based machine translation → Andy, Carl, ISBN, Michael, Netherlands, Recent Advances, Springer, Way Another extracted example is Example-based machine translation → As, English, Example-based, Hindustani, It, Phrasal, There, They. Use these groups to spot repeated connection types before inspecting the individual relationships.

Example-based machine translation

Top relations

related to Further reading · 8
Example-based machine translation → Andy, Carl, ISBN, Michael, Netherlands, Recent Advances, Springer, Way
related to Phrasal verbs · 8
Example-based machine translation → As, English, Example-based, Hindustani, It, Phrasal, There, They
related to Example · 7
Example-based machine translation → Ano, Example-based, For, How, Sentence, The, These
related to history · 6
Example-based machine translation → English, Example-based, He, In, Japanese, Makoto Nagao
related to Translation by analogy · 6
Example-based machine translation → At, Instead, Other, Phrasal, The, When
is a · 1
Example-based machine translation → idea of translation by analogy

Important terminology

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

Important terminology

translation machine example-based example analogy sentences phrasal sentence translations verbs one language use bilingual hindustani also translate used learn put

Example-based machine translation relationships Subject–Predicate–Object triples

TTTA extracted 36 structured relationships around Example-based machine translation. Examples in this analysis include Example-based machine translation → is a → idea of translation by analogy and Example-based machine translation → related to Example → Example-based. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Example-based machine translationis aidea of translation by analogy0.90text
Example-based machine translationrelated to ExampleExample-based0.60section
Example-based machine translationrelated to ExampleSentence0.60section
Example-based machine translationrelated to ExampleThe0.60section
Example-based machine translationrelated to ExampleThese0.60section
Example-based machine translationrelated to ExampleFor0.60section
Example-based machine translationrelated to ExampleHow0.60section
Example-based machine translationrelated to ExampleAno0.60section
Example-based machine translationrelated to Further readingCarl0.60section
Example-based machine translationrelated to Further readingMichael0.60section
Example-based machine translationrelated to Further readingWay0.60section
Example-based machine translationrelated to Further readingAndy0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Example-based machine translation bring nearby vocabulary together. In this analysis, examples include Machine, Translation and Example. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Example-based machine translation
    • Machine
    • Translation
    • Example
    • Like
    • Parallel
    • System
    • Bilingual
    • Used
    • Verbs
    • Analogy
    • Translations
    • Language
  • example-based machine translation
    • Translation
    • Machine
    • Example
    • Also
    • Like
    • Parallel
    • System
    • Use
    • Analogy
    • Bilingual
    • Used
    • Verbs
  • machine translation
    • Translation
    • Example
    • Also
    • Use
    • Analogy
    • Used
    • Corpora
    • Language
    • Like
    • Parallel
    • System
    • Learn
  • machine learning
    • Translation
    • Also
    • Example
    • Use
    • Analogy
    • Corpora
    • Like
    • Parallel
    • System
    • Learn
    • Used
    • Verbs
  • statistical machine translation
    • Translation
    • Example
    • Also
    • Use
    • Analogy
    • Used
    • Corpora
    • Language
    • Like
    • Parallel
    • System
    • Learn
  • rule-based machine translation
    • Translation
    • Example
    • Also
    • Use
    • Analogy
    • Used
    • Corpora
    • Language
    • Like
    • Parallel
    • System
    • Learn
  • translation by analogy
    • Idea
    • Example
    • Translations
    • Analogy
    • Phrasal
    • Translation
    • Machine
    • Example-based
    • Also
    • Use
    • Used
    • Analysis
  • analogy
    • Idea
    • Translations
    • Phrasal
    • Translation
    • Machine
    • Example
    • Example-based
    • Analysis
    • Deep
    • Linguistic
    • People
    • Process

Connections between topic areas Semantic bridges

For Example-based machine translation, one of the stronger structural bridges in this analysis connects Example-based machine translation 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
Example-based machine translation — Overview · splits 12 ⟂ 7
Example-based machine translation — Phrasal verbs · splits 13 ⟂ 6
Example-based machine translation — History · splits 16 ⟂ 3

Map overview Semantic statistics

Example-based machine translation

Nodes19
Edges18
Triples36
Avg. degree1.89
Density0.105263
Components1

Source & methodology

TTTA analyzes the structure around Example-based machine translation to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Phrasal verbs & Translation by analogy, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Example-based machine translation · EN edition · Analysis: TopicsToTalkAbout

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