Abstract
Language is full of multiword unit expressions that form basic semantic units. The identification of these structures limits the combinatorial complexity induced by lexical ambiguity. In this paper, we detail an experiment that largely integrates these notions in a finite-state procedure of segmentation into super-chunks, preliminary to a parser. We show that the chunker, developped for French, reaches 92.9% precision and 98.7% recall.
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Blanc, O., Constant, M., Watrin, P. (2007). A Finite-State Super-Chunker. In: Holub, J., Žďárek, J. (eds) Implementation and Application of Automata. CIAA 2007. Lecture Notes in Computer Science, vol 4783. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76336-9_29
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DOI: https://doi.org/10.1007/978-3-540-76336-9_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-76335-2
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