Abstract
Computer-Assisted Translation (CAT) is an alternative approach to Machine Translation, that integrates human expertise into the automatic translation process. In this framework, a human translator interacts with a translation system that dynamically offers a list of translations that best completes the part of the sentence already translated. Stochastic finite-state transducer technology is proposed to support this CAT system. The system was assessed on two real tasks of different complexity in several languages.
This work has been supported by the European Union under the IST Programme (IST-2001-32091) and the Spanish project TIC2003-08681-C02.
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Civera, J. et al. (2006). A Novel Approach to Computer-Assisted Translation Based on Finite-State Transducers. In: Yli-Jyrä, A., Karttunen, L., Karhumäki, J. (eds) Finite-State Methods and Natural Language Processing. FSMNLP 2005. Lecture Notes in Computer Science(), vol 4002. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11780885_5
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DOI: https://doi.org/10.1007/11780885_5
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