Develop a Part-of-Speech Tagger and a Tagger-Maker: Algorithms, Implementations, Results, and APIs - Couverture souple

Han, Jiayun

 
9783659376221: Develop a Part-of-Speech Tagger and a Tagger-Maker: Algorithms, Implementations, Results, and APIs
Couverture souple
ISBN 10 : 3659376221 ISBN 13 : 9783659376221
Editeur : LAP LAMBERT Academic Publishing, 2013

Synopsis

This project is aimed to build an efficient, scalable, portable, and trainable part-of-speech tagger. Using 98% of Penn Treebank-3 as the training data, it builds a raw tagger, using Bayes’ theorem, a hidden Markov model, and the Viterbi algorithm. After that, a reinforcement machine learning algorithm and contextual transformation rules were applied to increase the tagger’s accuracy. The tagger’s final accuracy on the testing data is 96.51% and its speed is about 26,000 words per second on a computer with two-gigabyte random access memory and two 3.00 GHz Pentium duo processors. The tagger’s portability and trainability are proved by the tagger-maker’s success in building a new tagger out of a corpus that is annotated with the tagset different from that of Penn Treebank.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

This project is aimed to build an efficient, scalable, portable, and trainable part-of-speech tagger. Using 98% of Penn Treebank-3 as the training data, it builds a raw tagger, using Bayes’ theorem, a hidden Markov model, and the Viterbi algorithm. After that, a reinforcement machine learning algorithm and contextual transformation rules were applied to increase the tagger’s accuracy. The tagger’s final accuracy on the testing data is 96.51% and its speed is about 26,000 words per second on a computer with two-gigabyte random access memory and two 3.00 GHz Pentium duo processors. The tagger’s portability and trainability are proved by the tagger-maker’s success in building a new tagger out of a corpus that is annotated with the tagset different from that of Penn Treebank.

Biographie de l'auteur

Jiayun Han, Obtained his PhD in Linguistics and MS in Artificial Intelligence from The University of Georgia, U.S.A. He was working for North Side Inc. as a natural language processing engineer and is currently employed by Manwin Canada as a software developer.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2013
Langue
anglais
ISBN 10 
3659376221
ISBN 13 
9783659376221
Reliure
Broché
Nombre de pages
68
Coordonnées du fabricant
non disponible
Personne responsable
KreGa Onlinehandel GmbH
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