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Handling Unknown Words in Statistical Latent-Variable Parsing Models For Arabic, English and French by Pravakar Ghimire is a document available to read on EtoBox.

What is Handling Unknown Words in Statistical Latent-Variable Parsing Models For Arabic, English and French about?

This paper presents a study of the impact of using simple and complex morphological clues to improve the classification of rare and unknown words for parsing. We compare this approach to a language-independent technique often used in parsers which is based solely on word frequencies. We integrate information about Arabic affixes and morphotactics into a PCFG-LA parser and obtain stateoftheart accuracy.

Author
Pravakar Ghimire
Language
EN

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