1 / 1

Statistical Language Modeling (SLM); Computational Linguistics (CL)

Statistical Language Modeling (SLM); Computational Linguistics (CL). Surface (s) and hidden (h) components of language The p(s,h) function Statistical language modeling: estimating p(s) Distribution of words, sentences, documents Computational linguistics / NLP: estimating p(h|s)

Télécharger la présentation

Statistical Language Modeling (SLM); Computational Linguistics (CL)

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Statistical Language Modeling (SLM); Computational Linguistics (CL) • Surface (s) and hidden (h) components of language • The p(s,h) function • Statistical language modeling: estimating p(s) • Distribution of words, sentences, documents • Computational linguistics / NLP: estimating p(h|s) • Classification vs. Regression vs. Density estimation • The source-channel model (aka, a Bayes classifier for everything) • SLM used as prior: speech, translation, spelling correction, OCR,... • SLM used as likelihood: document classification,... • [Probability: prior, posterior, Bayes' theorem, Bayes classifier]

More Related