13 Facts About Machine translation

Machine translation, sometimes referred to by the abbreviation MT, is a sub-field of computational linguistics that investigates the use of software to translate text or speech from one language to another.

Origins of machine translation can be traced back to the work of Al-Kindi, a ninth-century Arabic cryptographer who developed techniques for systemic language translation, including cryptanalysis, frequency analysis, and probability and statistics, which are used in modern machine translation.

Various computer based Machine translation companies were launched, including Trados, which was the first to develop and market Translation Memory technology, though this is not the same as MT.

Transfer-based machine translation is similar to interlingual machine translation in that it creates a translation from an intermediate representation that simulates the meaning of the original sentence.

Interlingual machine translation is one instance of rule-based machine-translation approaches.

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Statistical machine translation tries to generate translations using statistical methods based on bilingual text corpora, such as the Canadian Hansard corpus, the English-French record of the Canadian parliament and EUROPARL, the record of the European Parliament.

Deep learning-based approach to MT, neural machine translation has made rapid progress in recent years, and Google has announced its translation services are now using this technology in preference over its previous statistical methods.

Machine translation pointed out that without a "universal encyclopedia", a machine would never be able to distinguish between the two meanings of a word.

The quality of machine translation is substantially improved if the domain is restricted and controlled.

Machine translation applications have been released for most mobile devices, including mobile telephones, pocket PCs, PDAs, etc.

Therefore, to ensure that a machine-generated translation will be useful to a human being and that publishable-quality translation is achieved, such translations must be reviewed and edited by a human.

Once the entire text is analyzed and the signs necessary to complete the Machine translation are located in the synthesizer, a computer generated human appeared and would use ASL to sign the English text to the user.

Only works that are original are subject to copyright protection, so some scholars claim that machine translation results are not entitled to copyright protection because MT does not involve creativity.