Rule Based Machine Translation

What is a rule based machine translationsystem?

A rule based machine translation system consists of collection of rules called grammar rules, lexicon and software programs to process the rules. It is extensible and maintainable. Rules are written with linguistic knowledge gathered from linguists. Rules play major role in various stages of translation: syntactic processing, semantic interpretation, and contextual processing of language.

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Rule-based Machine Translation

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Nature Inspired Computing

Challenges in Machine Translation

1. Not all the words in one language have equivalent words in another language. In some cases a word in one language is to be expressed by group of words in another.  
2. Two given languages may have completely different structures. For example English has SVO structure while Tamil has SOV structure.  

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Challenges In Machine Translation

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Rule based Machine Translation

Machine Translation

The term machine translation (MT) is used in the sense of translation of one language to another. The ideal aim of MT systems is to produce the best possible translation without human assistance. Basically every MT system requires programs for translation and automated dictionaries and grammars to support translation.

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Machine Translation: Overview


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Rule based Machine Translation

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Nature Inspired Computing (NIC) is one that aims to develop new computing techniques after getting ideas by observing how nature behaves in various situations to solve complex problems. Research on NIC has opened new branches such as evolutionary computation , neural networks, artificial immune systems, swarm intelligence, and so on. Robotics researchers, ...

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