Decision Lists for Lexical Ambiguity Resolution: Application to Accent Restoration in Spanish and French
<|reference_start|>Decision Lists for Lexical Ambiguity Resolution: Application to Accent Restoration in Spanish and French: 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.<|reference_end|>
@article{yarowsky1994decision,
    title={Decision Lists for Lexical Ambiguity Resolution: Application to Accent
  Restoration in Spanish and French},
    author={David Yarowsky (University of Pennsylvania)},
    journal={arXiv preprint arXiv:cmp-lg/9406034},
    year={1994},
    archivePrefix={arXiv},
    eprint={cmp-lg/9406034},
    primaryClass={cmp-lg cs.CL}
}