Evolution of modern machine translators: Difference between revisions
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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. <ref>https://en.wikipedia.org/wiki/Machine_translation</ref> | 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. <ref>https://en.wikipedia.org/wiki/Machine_translation</ref> | ||
== Very good link == | |||
* [https://medium.freecodecamp.org/a-history-of-machine-translation-from-the-cold-war-to-deep-learning-f1d335ce8b5 Please carefully study this resource. It is superb resource for the history of machine translation]. You should know the terms below at an '''outline''' level. Please do not use the abbreviations in the linked article in any IB answer. | |||
# Rule-based machine translation | |||
# Example-based Machine Translation | |||
# Statistical Machine Translation | |||
# Neural Machine Translation | |||
Revision as of 13:19, 22 February 2019
HL content: Modeling & Simulation[1]
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. [2]
Very good link[edit]
- Please carefully study this resource. It is superb resource for the history of machine translation. You should know the terms below at an outline level. Please do not use the abbreviations in the linked article in any IB answer.
- Rule-based machine translation
- Example-based Machine Translation
- Statistical Machine Translation
- Neural Machine Translation
Standards[edit]
- Outline the evolution of modern machine translators.