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Rule-based machine translation

Index Rule-based machine translation

Rule-based machine translation (RBMT; "Classical Approach" of MT) is machine translation systems based on linguistic information about source and target languages basically retrieved from (unilingual, bilingual or multilingual) dictionaries and grammars covering the main semantic, morphological, and syntactic regularities of each language respectively. [1]

11 relations: Apertium, Dictionary-based machine translation, Eurotra, Example-based machine translation, GramTrans, Interlingual machine translation, Machine translation, Natural language generation, Parallel text, Semantic analysis (computational), Transfer-based machine translation.

Apertium

Apertium is a free/open-source rule-based machine translation platform.

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Dictionary-based machine translation

Machine translation can use a method based on dictionary entries, which means that the words will be translated as a dictionary does – word by word, usually without much correlation of meaning between them.

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Eurotra

Eurotra was an ambitious machine translation project established and funded by the European Commission from 1978 until 1992.

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Example-based machine translation

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.

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GramTrans

GramTrans is a cross-platform machine translation platform developed in cooperation between Danish GrammarSoft ApS and Norwegian Kaldera Språkteknologi AS.

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Interlingual machine translation

Interlingual machine translation is one of the classic approaches to machine translation.

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Machine translation

Machine translation, sometimes referred to by the abbreviation MT (not to be confused with computer-aided translation, machine-aided human translation (MAHT) or interactive translation) is a sub-field of computational linguistics that investigates the use of software to translate text or speech from one language to another.

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Natural language generation

Natural language generation (NLG) is the natural language processing task of generating natural language from a machine representation system such as a knowledge base or a logical form.

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Parallel text

A parallel text is a text placed alongside its translation or translations.

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Semantic analysis (computational)

Semantic analysis (computational) is a composite of the "semantic analysis" and the "computational" components.

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Transfer-based machine translation

Transfer-based machine translation is a type of machine translation (MT).

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RBMT.

References

[1] https://en.wikipedia.org/wiki/Rule-based_machine_translation

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