Abstract
The paper argues for the viability and utility of partial machine translation (MT) in multilingual information systems. The notion of partial MT is modelled on partial parsing and involves a bottom-up pattern matching approach where the finite-state transducers assign translation equivalents locally. The article focuses on the linguistic underpinnings of the approach and gives illustrations of its implementation within the NooJ finite-state linguistic development system.
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Váradi, T. (2007). Rule-Based Partial MT Using Enhanced Finite-State Grammars in NooJ. In: Kedad, Z., Lammari, N., Métais, E., Meziane, F., Rezgui, Y. (eds) Natural Language Processing and Information Systems. NLDB 2007. Lecture Notes in Computer Science, vol 4592. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73351-5_33
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DOI: https://doi.org/10.1007/978-3-540-73351-5_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73350-8
Online ISBN: 978-3-540-73351-5
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