Method for Selecting Specialized Terms from a General Language Corpus
Por:
Anguiano Pena, Gilberto, Naumis Pena, Catalina
Publicada:
1 ene 2015
Categoría:
Library and Information Sciences
Resumen:
Among the many aspects studied by library and information science are
linguistic phenomena associated with document content analysis, for
purposes of both information organization and retrieval. To this end,
terms used in scientific and technical language must be recovered and
their area of domain and behavior studied. Through language, society
controls the knowledge available to people. Document content analysis,
in this case of scientific texts, facilitates gathering knowledge of
lexical units and their major applications and separating such
specialized terms from the general language, to create indexing
languages. The model presented here or other lexicographic resources
with similar characteristics may be useful in the near future, in
computer-assisted indexing or as corpora monitors, with respect to new
text analyses or specialized corpora. Thus, using techniques for
document content analysis of a lexicographically labeled general
language corpus proposed herein, components which enable the extraction
of lexical units from specialized language may be obtained and
characterized.
Filiaciones:
Anguiano Pena, Gilberto:
El Colegio Mexico, Diccionario Espanol Mexico, Mexico City 10740, DF, Mexico
Naumis Pena, Catalina:
Univ Nacl Autonoma Mexico, Inst Invest Bibliotecol & Informac, Mexico City 04510, DF, Mexico
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