ML Anthology

ML Techniques and Text Analysis

Pieter W. Adriaans
ECML-PKDD 1993 pp. 460-469
doi:10.1007/3-540-56602-3_164 /ecmlpkdd/1993/adriaans1993ecml-ml/

Abstract

In this paper text analysis is presented as a special subdiscipline of automated language learning, which in itself is a subdiscipline of machine learning. A formal classification scheme for analysis of language learning algorithms in terms of abstract learners and speaker/authors is introduced. The inductive inference approach of Gold and successors is rejected as being of little practical value. The perspectives of this newly emerging field are discussed in the light of a number of exemplifying research projects.

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Cite

Text

Adriaans. "ML Techniques and Text Analysis." European Conference on Machine Learning, 1993. doi:10.1007/3-540-56602-3_164

Markdown

[Adriaans. "ML Techniques and Text Analysis." European Conference on Machine Learning, 1993.](https://mlanthology.org/ecmlpkdd/1993/adriaans1993ecml-ml/) doi:10.1007/3-540-56602-3_164

BibTeX

@inproceedings{adriaans1993ecml-ml,
  title     = {{ML Techniques and Text Analysis}},
  author    = {Adriaans, Pieter W.},
  booktitle = {European Conference on Machine Learning},
  year      = {1993},
  pages     = {460-469},
  doi       = {10.1007/3-540-56602-3_164},
  url       = {https://mlanthology.org/ecmlpkdd/1993/adriaans1993ecml-ml/}
}