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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
13
Related term clusters
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.

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Example-based machine translation

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

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

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 → English, Example-based, Japanese, Makoto Nagao Another extracted example is Example-based machine translation → English, Example-based, Hindustani, Phrasal. Use these groups to spot repeated connection types before inspecting the individual relationships.

Example-based machine translation

Top relations

related to history · 4
Example-based machine translation → English, Example-based, Japanese, Makoto Nagao
related to Phrasal verbs · 4
Example-based machine translation → English, Example-based, Hindustani, Phrasal
related to Example · 3
Example-based machine translation → Ano, Example-based, Sentence
is a · 1
Example-based machine translation → idea of translation by analogy
related to Translation by analogy · 1
Example-based machine translation → Phrasal

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 13 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 ExampleAno0.60section
Example-based machine translationrelated to historyExample-based0.60section
Example-based machine translationrelated to historyMakoto Nagao0.60section
Example-based machine translationrelated to historyEnglish0.60section
Example-based machine translationrelated to historyJapanese0.60section
Example-based machine translationrelated to Phrasal verbsExample-based0.60section
Example-based machine translationrelated to Phrasal verbsPhrasal0.60section
Example-based machine translationrelated to Phrasal verbsEnglish0.60section
Example-based machine translationrelated to Phrasal verbsHindustani0.60section

Related concept clusters Related term clusters

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
  • 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
  • machine learning
    • Translation
    • Also
    • Example
    • Use
    • Analogy
    • Corpora
    • Like
    • Parallel
    • System
    • Learn
    • Used
    • Verbs
  • 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
Triples13
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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