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An algorithm for suffix stripping
Abstract
Purpose: The automatic removal of suffixes from words in English is of particular interest in the field of information retrieval. This work was originally published in Program in 1980 and is republished as part of a series of articles commemorating the 40th anniversary of the journal. Design/methodology/approach: An algorithm for suffix stripping is described, which has been implemented as a short, fast program in BCPL. Findings: Although simple, it performs slightly better than a much more elaborate system with which it has been compared. It effectively works by treating complex suffixes as compounds made up of simple suffixes, and removing the simple suffixes in a number of steps. In each step the removal of the suffix is made to depend upon the form of the remaining stem, which usually involves a measure of its syllable length. Originality/value: The piece provides a useful historical document on information retrieval.
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Citations
Cited by
Ensemble of keyword extraction methods and classifiers in text classification
Onan, A., Korukoğlu, S., & Bulut, H. (2016) · Expert Systems with Applications · doi:10.1016/j.eswa.2016.03.045 · Cited by 630
Aqle, A., Al-Thani, D., & Jaoua, A. (2022) · Universal Access in the Information Society · doi:10.1007/s10209-020-00777-w · Cited by 16
Metadata
- Authors
- Porter, M. F.
- Venue
- Program
- Publisher
- Emerald
- Published
- 2006-07-01
- Volume
- 40
- Issue
- 3
- Pages
- 211-218
- ISSN
- 0033-0337 (ISSN-L)
- OpenAlex
- W4213221013
- Cited by
- 306
- References
- 0
- FWCI
- 8.80
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
