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Machine translation and Originality

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

Difference between Machine translation and Originality

Machine translation vs. Originality

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. Originality is the aspect of created or invented works as being new or novel, and thus distinguishable from reproductions, clones, forgeries, or derivative works.

Similarities between Machine translation and Originality

Machine translation and Originality have 3 things in common (in Unionpedia): Copyright, Creativity, Derivative work.

Copyright

Copyright is a legal right, existing globally in many countries, that basically grants the creator of an original work exclusive rights to determine and decide whether, and under what conditions, this original work may be used by others.

Copyright and Machine translation · Copyright and Originality · See more »

Creativity

Creativity is a phenomenon whereby something new and somehow valuable is formed.

Creativity and Machine translation · Creativity and Originality · See more »

Derivative work

In copyright law, a derivative work is an expressive creation that includes major copyright-protected elements of an original, previously created first work (the underlying work).

Derivative work and Machine translation · Derivative work and Originality · See more »

The list above answers the following questions

Machine translation and Originality Comparison

Machine translation has 133 relations, while Originality has 58. As they have in common 3, the Jaccard index is 1.57% = 3 / (133 + 58).

References

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

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