Article

Statistical Methods

Christer Samuelsson and Sanja Štajner

in The Oxford Handbook of Computational Linguistics 2nd edition

ISBN: 9780199573691
Published online January 2019 | e-ISBN: 9780191749643 | DOI: https://dx.doi.org/10.1093/oxfordhb/9780199573691.013.40
Statistical Methods

More Like This

Show all results sharing this subject:

  • Computational Linguistics

GO

Show Summary Details

Preview

Current mainstream natural language processing tasks rely heavily on the use of statistical methods. This chapter presents statistical methods from their fundamentals to more complex methods, including hidden Markov and maximum entropy models applied in language modelling, and the expectation maximization method used in machine translation. It also introduces robust estimation and the methods for calculating inter-annotator agreement and statistical significance, as well as suggestions for further reading and some mathematical details of the presented statistical methods.

Keywords: mathematical statistics; language modelling; hidden Markov model; maximum entropy; expectation maximization; inter-annotator agreement; statistical significance testing

Article.  15212 words. 

Subjects: Computational Linguistics

Full text: subscription required

How to subscribe Recommend to my Librarian

Buy this work at Oxford University Press »

Users without a subscription are not able to see the full content. Please, subscribe or login to access all content. subscribe or purchase to access all content.