Machine translation and Transfer-based machine translation

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Machine translation and Transfer-based machine translation

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

Similarities between Machine translation and Transfer-based machine translation

Machine translation and Transfer-based machine translation have 8 things in common (in Unionpedia): Ambiguity, Dictionary-based machine translation, Meaning (linguistics), Morphology (linguistics), Semantics, Statistical machine translation, Syntax, Word-sense disambiguation.

Ambiguity

Ambiguity is a type of meaning in which several interpretations are plausible.

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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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Meaning (linguistics)

In linguistics, meaning is the information or concepts that a sender intends to convey, or does convey, in communication with a receiver.

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Morphology (linguistics)

In linguistics, morphology is the study of words, how they are formed, and their relationship to other words in the same language.

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Semantics

Semantics (from σημαντικός sēmantikós, "significant") is the linguistic and philosophical study of meaning, in language, programming languages, formal logics, and semiotics.

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Statistical machine translation

Statistical machine translation (SMT) is a machine translation paradigm where translations are generated on the basis of statistical models whose parameters are derived from the analysis of bilingual text corpora.

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Syntax

In linguistics, syntax is the set of rules, principles, and processes that govern the structure of sentences in a given language, usually including word order.

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Word-sense disambiguation

In computational linguistics, word-sense disambiguation (WSD) is an open problem of natural language processing and ontology.

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The list above answers the following questions

What Machine translation and Transfer-based machine translation have in common
What are the similarities between Machine translation and Transfer-based machine translation

Machine translation and Transfer-based machine translation Comparison

Machine translation has 133 relations, while Transfer-based machine translation has 14. As they have in common 8, the Jaccard index is 5.44% = 8 / (133 + 14).

References

This article shows the relationship between Machine translation and Transfer-based machine translation. To access each article from which the information was extracted, please visit:

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