Please use this identifier to cite or link to this item:
Title: A morphological analyzer using hash tables in main memory (MAHT) and a lexical knowledge base
Authors: Carreras-Riudavets, Francisco J. 
Rodríguez-del-Pino, Juan Carlos 
Hernández-Figueroa, Zenón 
Rodríguez-Rodríguez, Gustavo 
UNESCO Clasification: 570104 Lingüística informatizada
570503 Lexicografía
Keywords: Lingüística computacional
Procesamiento de texto
Computational linguistics
Natural language processing systems, et al
Issue Date: 2012
Project: Caracterización Objetiva de la Dificultad General de Los Originales. 
Journal: Lecture Notes in Computer Science 
Conference: 13th Annual Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2012 
Abstract: This paper presents a morphological analyzer for the Spanish language (MAHT). This system is mainly based on the storage of words and its morphological information, leading to a lexical knowledge base that has almost five million words. The lexical knowledge base practically covers the whole morphological casuistry of the Spanish language. However, the analyzer solves the processing of prefixes and of enclitic pronouns by easy rules, since the words that can include these elements are much and some of them are neologisms. MAHT reaches a processing average speed over 275,000 words per second. This one is possible because it uses hash tables in main memory. MAHT has been designed to isolate the data from the algorithms that analyze words, even with their irregular forms. This design is very important for an irregular and highly inflectional language, like Spanish, to simplify the insertion of new words and the maintenance of program code.
ISBN: 978-3-642-28603-2
ISSN: 0302-9743
DOI: 10.1007/978-3-642-28604-9_7
Source: Gelbukh A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2012. Lecture Notes in Computer Science, vol 7181. Springer, Berlin, Heidelberg
Appears in Collections:Actas de congresos
Show full item record


checked on Jun 23, 2024

Page view(s)

checked on May 4, 2024

Google ScholarTM




Export metadata

Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.