Decision Lists for Lexical Ambiguity Resolution: Application to Accent Restoration in Spanish and French
| dc.creator | Yarowsky, David | |
| dc.date | 1994-06-23 | |
| dc.date.accessioned | 2026-07-07T09:09:22Z | |
| dc.date.available | 2026-07-07T09:09:22Z | |
| dc.description | This paper presents a statistical decision procedure for lexical ambiguity resolution. The algorithm exploits both local syntactic patterns and more distant collocational evidence, generating an efficient, effective, and highly perspicuous recipe for resolving a given ambiguity. By identifying and utilizing only the single best disambiguating evidence in a target context, the algorithm avoids the problematic complex modeling of statistical dependencies. Although directly applicable to a wide class of ambiguities, the algorithm is described and evaluated in a realistic case study, the problem of restoring missing accents in Spanish and French text. | |
| dc.description | 8 pages, latex-acl, to appear in ACL-94 | |
| dc.identifier | https://arxiv.org/abs/cmp-lg/9406034 | |
| dc.identifier | http://arxiv.org/abs/cmp-lg/9406034 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/151012 | |
| dc.subject | Computation and Language | |
| dc.title | Decision Lists for Lexical Ambiguity Resolution: Application to Accent Restoration in Spanish and French | |
| dc.type | text |