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Home > AI Introduction > Overview of Translation Technology
 

Translation Technology Review

 

To make readers gain a more comprehensive understanding about computer translation technology, this column will make a summary of current computer technology system. The review is as follows:

 

Machine Translation, also known as automatic translation, is to translate text or speech from one natural source language to another natural target language. A sub-field of Natural Language Processing and it has an inseparable relationship with Computational Linguistics and Natural Language Understanding.

 

MT technology can be divided into:

 

Rule Based Machine Translation (RBMT);
Statistics Machine Translation (SMT);
Example Based Machine Translation (EBMT);
Template Based Machine Translation (TBMT).


Moreover, another important direction of computer translation technology is computer translation technology (TM).

 

Multi-engine machine translation technology, integrating Machine Translation (MT) and Translation Memory (TM) is applied to increase computer translation quality.


Although the quality of machine automatic translation is poor, computer-assisted translation system adopting Translation Memory (TM) and Interactive Translation (IT) is welcomed by professional translators.

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