Abstract
This chapter will describe how parallel text extraction algorithms can be used for machine aided translation, focusing on two particular applications: semi-automatic construction of bilingual terminology lexicons and translation memory. Automatic word alignment and terminology extraction algorithms can be combined to substantially speed the lexicon construction process. Using a highly accurate partial alignment of term constituents, a terminologist need only recognize and correct minor errors in the recognition of term boundaries. The next generation of translation memory systems will certainly use statistical alignment algorithms and shallow parsing technology to improve coverage of current systems, by allowing for linguistic abstraction and partial sentence matching. Abstracting away from lexical units to part-of-speech, number, term, or noun phrase classes will allow these systems to mix and match components.
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Gaussier, É., Hull, D., Aït-Mokhtar, S. (2000). Term alignment in use. In: Véronis, J. (eds) Parallel Text Processing. Text, Speech and Language Technology, vol 13. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-2535-4_13
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DOI: https://doi.org/10.1007/978-94-017-2535-4_13
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