DocumentCode :
2430140
Title :
Tokenization and proper noun recognition for information retrieval
Author :
Barcala, Fco Mario ; Vilares, Jesús ; Alonso, Miguel A. ; Grana, J. ; Vilares, Manuel
Author_Institution :
Departamento de Computacion, Univ. da Coruna, La Coruna, Spain
fYear :
2002
fDate :
2-6 Sept. 2002
Firstpage :
246
Lastpage :
250
Abstract :
In this paper we consider a set of natural language processing techniques that can be used to analyze large amounts of texts, focusing on the advanced tokenizer which accounts for a number of complex linguistic phenomena, as well as for pre-tagging tasks such as proper noun recognition. We also show the results of several experiments performed in order to study the impact of the strategy chosen for the recognition of proper nouns.
Keywords :
data mining; natural languages; text analysis; advanced tokenizer; complex linguistic phenomena; natural language processing techniques; proper noun recognition; tokenization; Employment; Filters; Indexing; Information analysis; Information retrieval; Natural language processing; Natural languages; Performance analysis; Proposals; Text recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Database and Expert Systems Applications, 2002. Proceedings. 13th International Workshop on
ISSN :
1529-4188
Print_ISBN :
0-7695-1668-8
Type :
conf
DOI :
10.1109/DEXA.2002.1045906
Filename :
1045906
Link To Document :
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