Recent success of statistical corpus-based methods in a variety of areas of speech and language processing has led to the widespread view that traditional hand-built "rule-based" approaches are moribund. This is a misconception. As I shall argue in this talk, it is unlikely that rule-based approaches will ever be eliminated. Two examples are given to support this conclusion; one where the linguistic facts, though highly complex are basically quite regular; and another where the linguistic fact is exceedingly simple (hence hardly worth the effort of inferring from data), but where adding in this information can improve the output of a statistical model.
Cite as: Sproat, R. (2000) Corpus-based methods and hand-built methods. Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000), vol. 3, 426-428, doi: 10.21437/ICSLP.2000-564
@inproceedings{sproat00_icslp,
author={Richard Sproat},
title={{Corpus-based methods and hand-built methods}},
year=2000,
booktitle={Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000)},
pages={vol. 3, 426-428},
doi={10.21437/ICSLP.2000-564}
}