Paper: Stochastic Modeling Of Language Via Sentence Space Partitioning

ACL ID E87-1016
Title Stochastic Modeling Of Language Via Sentence Space Partitioning
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 1987
Authors

In some computer applications of linguistics (such as maximum-likelihood decoding of speech or handwriting), the purpose of the language-handling component (Language Model) is to estimate the linguistic (a priori) probability of arbitrary natural-language sentences. This paper discusses theoretical and practical issues regarding an approach to building such a language model based on any equivalence criterion defined on incomplete sentences, and experimental results and measurements performed on such a model of the Italian language, which is a part of the prototype for the recognition of spoken Italian built at the IBM Rome Scintific Center. STOCHASTIC MODELS OF LANGUAGE In some computer applications, it is necessary to have a way to estimate the probability of any arbitrary natural-languag...