Статистические языковые модели
Related Papers
Collocation Map for Overcoming Data Sparseness
Statistical language models are useful because they can provide probabilis- tic information upon uncertain decision making. The most common statistic is n-grams measuring word cooccurrences in texts. The method suffers …...
Reading Level Assessment Using Support Vector Machines and Statistical Language Models
Reading proficiency is a fundamen- tal component of language competency. However, finding topical texts at an appro- priate reading level for foreign and sec- ond language learners is a challenge …...
The Imagination of Crowds: Conversational AAC Language Modeling using Crowdsourcing and Large Data Sources
Augmented and alternative communication (AAC) devices enable users with certain com- munication disabilities to participate in every- day conversations. Such devices often rely on statistical language models to improve text …...
A PAC-Bayesian Approach to Minimum Perplexity Language Modeling
Despite the overwhelming use of statistical language models in speech recognition, machine translation, and several other domains, few high probability guarantees exist on their generaliza- tion error. In this paper, …...