Corpus ID: 5945142

Morphological Analysis as Classification: an Inductive-Learning Approach

@article{Bosch1996MorphologicalAA,
  title={Morphological Analysis as Classification: an Inductive-Learning Approach},
  author={Antal van den Bosch and Walter Daelemans and A. J. M. M. Weijters},
  journal={ArXiv},
  year={1996},
  volume={cmp-lg/9607021}
}
  • Antal van den Bosch, Walter Daelemans, A. J. M. M. Weijters
  • Published in ArXiv 1996
  • Computer Science
  • Morphological analysis is an important subtask in text-to-speech conversion, hyphenation, and other language engineering tasks. The traditional approach to performing morphological analysis is to combine a morpheme lexicon, sets of (linguistic) rules, and heuristics to find a most probable analysis. In contrast we present an inductive learning approach in which morphological analysis is reformulated as a segmentation task. We report on a number of experiments in which five inductive learning… CONTINUE READING

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