On-Demand Phrase Extraction: An On-Line String Similarity Approach to Machine Translation

This paper describes a novel approach to creating, or synthesizing, unobserved translations from previously observed translated sentence pairs by matching and combining multiple matching sentences in a translation memory. Our approach balances high-accuracy with coverage. This approach yields a substantial BLEU score and coverage improvement over the basic best fuzzy-match baseline translation memory retrieval result.

By: Juan M. Huerta

Published in: RC25158 in 2011


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