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A Freely Available Wide Coverage Morphological Analyzer for English (1992)
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| Venue: | IN PROCEEDINGS OF COLING |
| Citations: | 70 - 4 self |
BibTeX
@INPROCEEDINGS{Karp92afreely,
author = {Daniel Karp and Yves Schabes and Martin Zaidel and Dania Egedi},
title = {A Freely Available Wide Coverage Morphological Analyzer for English},
booktitle = {IN PROCEEDINGS OF COLING},
year = {1992},
publisher = {}
}
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Abstract
This paper presents a morphological lexicon for English that handle more than 317000 inflected forms derived from over 90000 stems. The lexicon is available in two formats. The first can be used by an implementation of a two-level processor for morphological analysis (Karttunen and Wittenburg, 1983; Antworth, 1990). The second, derived from the first one for efficiency reasons, consists of a disk-based database using a UNIX hash table facility (Seltzer and Yigit, 1991). We also built an X Window tool to facilitate the maintenance and browsing of the lexicon. The package is ready to be integrated into an natural language application such as a parser through hooks written in Lisp and C. To our knowledge, this package is the only available free English morphological analyzer with very wide coverage. attributes. To improve performance, we used PCKIMMO as a generator on our lexicons to build a diskbased hashed database with a UNIX database facility (Seltzer and Yigit, 1991). We also provide an X Window tool for the database to facilitate maintenance and access. Each format contains the morphological information for over 317000 English words. The morphological database for English runs under UNIX; PC-KIMMO runs under UNIX and on a PC.
Keyphrases
window tool two-level processor inflected form available free english morphological analyzer morphological information english word morphological analysis efficiency reason wide coverage first one unix database facility unix hash table facility diskbased hashed database natural language application morphological lexicon english run disk-based database morphological database
