Abstract
We report on experiments which demonstrate that by abductive inference it is possible to learn enough simple phonotactics to distinguish words from non-words for a simplified set of Dutch, the monosyllables. The monosyllables are distinguished in input so that segmentation is not problematic. Frequency information is withheld as is negative data. The methods are all tested using ten-fold cross-validation as well as a fixed number of randomly generated strings. Orthographic and phonetic representations are compared. The work presented in this chapter is part of a larger project comparing different machine learning techniques on linguistic data.
This chapter is a revised compilation of part of the work described in (Tjong Kim Sang, 1998) and (Tjong KimSang & Nerbonne, 1999).
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Tjong Kim Sang, E.F., Nerbonne, J. (2000). Learning the Logic of Simple Phonotactics. In: Cussens, J., Džeroski, S. (eds) Learning Language in Logic. LLL 1999. Lecture Notes in Computer Science(), vol 1925. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-40030-3_7
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DOI: https://doi.org/10.1007/3-540-40030-3_7
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