ML p(r)ior | Decision Lists for Lexical Ambiguity Resolution: Application to Accent Restoration in Spanish and French
Processing...

Decision Lists for Lexical Ambiguity Resolution: Application to Accent Restoration in Spanish and French

1994-06-23
9406034 | cmp-lg
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.
PDF

Highlights - Most important sentences from the article

Login to like/save this paper, take notes and configure your recommendations