Machine translation and Turing test

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

Difference between Machine translation and Turing test

Machine translation vs. Turing test

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. The Turing test, developed by Alan Turing in 1950, is a test of a machine's ability to exhibit intelligent behavior equivalent to, or indistinguishable from, that of a human.

Similarities between Machine translation and Turing test

Machine translation and Turing test have 9 things in common (in Unionpedia): Ambiguity, Artificial intelligence, Google, IBM, Natural language processing, Natural language understanding, PDF, René Descartes, Word-sense disambiguation.

Ambiguity

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

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Artificial intelligence

Artificial intelligence (AI, also machine intelligence, MI) is intelligence demonstrated by machines, in contrast to the natural intelligence (NI) displayed by humans and other animals.

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Google

Google LLC is an American multinational technology company that specializes in Internet-related services and products, which include online advertising technologies, search engine, cloud computing, software, and hardware.

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IBM

The International Business Machines Corporation (IBM) is an American multinational technology company headquartered in Armonk, New York, United States, with operations in over 170 countries.

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Natural language processing

Natural language processing (NLP) is an area of computer science and artificial intelligence concerned with the interactions between computers and human (natural) languages, in particular how to program computers to process and analyze large amounts of natural language data.

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Natural language understanding

Natural language understanding (NLU) or natural language interpretation (NLI) is a subtopic of natural language processing in artificial intelligence that deals with machine reading comprehension.

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PDF

The Portable Document Format (PDF) is a file format developed in the 1990s to present documents, including text formatting and images, in a manner independent of application software, hardware, and operating systems.

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René Descartes

René Descartes (Latinized: Renatus Cartesius; adjectival form: "Cartesian"; 31 March 1596 – 11 February 1650) was a French philosopher, mathematician, and scientist.

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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 Turing test have in common
What are the similarities between Machine translation and Turing test

Machine translation and Turing test Comparison

Machine translation has 133 relations, while Turing test has 176. As they have in common 9, the Jaccard index is 2.91% = 9 / (133 + 176).

References

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

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