A Concept Specification and Abstraction-based Semantic Representation: Addressing the Barriers to Rule-based Machine Translation

6 Jul 2018 Patrick Connor

Rule-based machine translation is more data efficient than the big data-based machine translation approaches, making it appropriate for languages with low bilingual corpus resources -- i.e., minority languages. However, the rule-based approach has declined in popularity relative to its big data cousins primarily because of the extensive training and labour required to define the language rules... (read more)

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