Structural Tags, Annealing and Automatic Word Classification
| dc.creator | McMahon, John | |
| dc.creator | Smith, F. J. | |
| dc.date | 1994-05-30 | |
| dc.date.accessioned | 2026-07-07T09:09:17Z | |
| dc.date.available | 2026-07-07T09:09:17Z | |
| dc.description | This paper describes an automatic word classification system which uses a locally optimal annealing algorithm and average class mutual information. A new word-class representation, the structural tag is introduced and its advantages for use in statistical language modelling are presented. A summary of some results with the one million word LOB corpus is given; the algorithm is also shown to discover the vowel-consonant distinction and displays an ability to cluster words syntactically in a Latin corpus. Finally, a comparison is made between the current classification system and several leading alternative systems, which shows that the current system performs respectably well. | |
| dc.description | 14 Page Paper. PostScript File | |
| dc.identifier | https://arxiv.org/abs/cmp-lg/9405029 | |
| dc.identifier | http://arxiv.org/abs/cmp-lg/9405029 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/150980 | |
| dc.subject | Computation and Language | |
| dc.title | Structural Tags, Annealing and Automatic Word Classification | |
| dc.type | text |