Abstract
The TELA structure — a set of layered and linked lattices — the notion of similarity between TELA structures based on the notion of Edit Distance, and the MSSM algorithm based on dynamic programming techniques are all introduced in order to formalize Translation Memories (TM). We show how this approach leads to a real gain in recall and precision, and allows the extension of TM towards rudimentary, yet useful Example-Based Machine Translation (EBMT) that we call ‘Shallow Translation’.
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Planas, E., Furuse, O. (2003). Formalizing Translation Memory. In: Carl, M., Way, A. (eds) Recent Advances in Example-Based Machine Translation. Text, Speech and Language Technology, vol 21. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0181-6_5
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DOI: https://doi.org/10.1007/978-94-010-0181-6_5
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