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Introduction to different computer-aided translation

Published on 29 May 2020 by Alice Chan

Computer-aided translation is an effective tool for enhancing but not replacing traditional translation, which assists users to execute localization management and obtain language solutions efficiently. Nowadays, machine translation has no doubt become an essential part of corporate business communication and people’s daily lives. It offers various benefits, mainly in terms of saving costs and time.

In the early stages, Rule-Based Machine Translation (RBMT) works on the basis of grammatical rules. It generates more grammatically correct output at the morphological level but makes relatively unsatisfied semantic choices.

What we are better than other peer is, DeepTranslate focuses on deep learning and primarily uses AI translation which relies on neural networks (similar to biological neural networks of human brain) to develop the statistical models for translation and improve the translation skills by “learning” and “training” constantly. At the same time, DeepTranslate also incorporates Statistical Machine Translation (SMT) to ensure the quality by creating a translation memory.

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Introduction to different computer-aided translation
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