Civera, Jorge; Vilar, Juan M.; Cubel, Elsa; Lagarda, Antonio L.; Barrachina, Sergio; Casacuberta, Francisco; Vidal, Enrique; Picó, David; González, Jorge A syntactic pattern recognition approach to computer assisted translation. (English) Zbl 1104.68597 Fred, Ana (ed.) et al., Structural, syntactic, and statistical pattern recognition. Joint IAPR international workshops SSPR 2004 and SPR 2004, Lisbon, Portugal, August 18–20, 2004. Proceedings. Berlin: Springer (ISBN 3-540-22570-6/pbk). Lecture Notes in Computer Science 3138, 207-215 (2004). Summary: It is a fact that current methodologies for automatic translation cannot be expected to produce high quality translations. An alternative approach is to use them as an aid to manual translation. We focus on a possible way to help human translators: to interactively provide completions for the parts of the sentences already translated. We explain how finite state transducers can be used for this task and show experiments in which the keystrokes needed to translate printer manuals were reduced to nearly 25% of the original.For the entire collection see [Zbl 1056.68009]. Cited in 2 Documents MSC: 68T10 Pattern recognition, speech recognition 68T50 Natural language processing PDFBibTeX XMLCite \textit{J. Civera} et al., Lect. Notes Comput. Sci. 3138, 207--215 (2004; Zbl 1104.68597) Full Text: DOI