Evolution of modern machine translators
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.
On a basic level, MT performs simple substitution of words in one language for words in another, but that alone usually cannot produce a good translation of a text because recognition of whole phrases and their closest counterparts in the target language is needed. 
Evolution of machine translators
- Please carefully study this resource. It is superb resource for the history of machine translation. You should know the terms below at an outlineGive a brief account. level. Please do not use the abbreviations in the linked article in any IB answer.
- Rule-based machine translation
uses dictionaries and a set of linguistic rules to translate between two languages. 
- Example-based Machine Translation
uses ready-made phrases as examples instead of repeated translation. 
- Statistical Machine Translation
the machine tries to recognise patterns by studying similar texts without the need for dictionaries or rules. 
- Neural Machine Translation
uses a large artificial neural networka group or system of interconnected people or things. to predictGive an expected result of an upcoming action or event. the probability of a sequence of words.
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- OutlineGive a brief account. the evolution of modern machine translators.