An Analysis of Variance Method for Detection of Collocations in a Pedagogical Domain Corpus



Título del documento: An Analysis of Variance Method for Detection of Collocations in a Pedagogical Domain Corpus
Revista: Computación y sistemas
Base de datos:
Número de sistema: 000560488
ISSN: 1405-5546
Autors: 1
1
1
Institucions: 1Benemérita Universidad Autónoma de Puebla, Facultad de Ciencias de la Computación, Puebla. México
Any:
Període: Abr-Jun
Volum: 24
Número: 2
Paginació: 739-743
País: México
Idioma: Inglés
Tipo de documento: Artículo
Resumen en inglés In this paper, an exploratory experiment, based on analysis of variance, was carried out in order to get collocations in a pedagogical domain corpus. A semi-automatic corpus containing learning styles papers in Spanish was built. Afterwards, the corpus was lemmatized and a bigrams representation was extracted. The proposed method consists on divide the list of bigrams in quartiles, and analyzing the variance on each one of them. A list of collocations, which was evaluated using a gold standard built by an expert in the domain, was retrieved from each experiment according to established thresholds for the method. Results showed a retrieved list with important collocation in the selected domain.
Disciplines Ciencias de la computación
Paraules clau: Inteligencia artificial
Keyword: Pedagogical domain,
Variance,
Collocations,
Ontology,
Important concepts,
Artificial intelligence
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