2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/151320A general, practical method for handling sparse data that avoids held-out data and iterative reestimation is derived from first principles. It has been tested on a part-of-speech tagging task and outperformed (deleted) interpolation with context-independent weights, even when the latter used a globally optimal parameter setting determined a posteriori.6 pages, uuencoded, gzipped PostScriptComputation and Languagetext