CORDIS Project
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This project proposes a hybrid machine translation system that combines rule-based and statistical methods to improve translation quality. It aims to enhance the capabilities of machine translation by utilizing both structured linguistic knowledge and large text corpora.
Since roughly a decade statistical machine translation (SMT) predominates in academic research.
However, most commercial MT suppliers continue to offer systems based on more traditional rule-based architectures (RBMT).
Difficulties with replacing the translation engines in the product set-up may explain this discrepancy in part.
However, the main reasons are that RBMT makes available a whole bunch of functions which SMT does not provide, including human-readable, fully worked out 'conventional'…
UNIVERSITY OF LEEDS
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Germany, HEIDELBERG
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
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