Aitrans-AI Introduction

AITRANS.NET--A HIGHWAY TO THE PALACE OF INTELLIGENCE AND WEALTH FOR TRANSLATORS AND READERS。让计算机模拟人的翻译思维，存储专业人士的高智力翻译成果，共建共享专业型智能化知识库，建立国际性智能翻译知识库标准，实现高质量的全自动机器翻译。


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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.