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
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;
Conference_Titel :
Database and Expert Systems Applications, 2002. Proceedings. 13th International Workshop on
Print_ISBN :
0-7695-1668-8
DOI :
10.1109/DEXA.2002.1045906