Semantics-driven collocation discovery

Collocations are combinations of two lexically dependent elements, of which one (the base) is freely chosen because of its meaning, and the choice of the other (the collocate) depends on the base. Collocations are difficult to master by language learners. This difficulty becomes evident in that even...

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Detalles Bibliográficos
Autores: Rodríguez Fernández, Sara, Espinosa-Anke, Luis, Carlini, Roberto, Wanner, Leo
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2016
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10230/33809
Acceso en línea:http://hdl.handle.net/10230/33809
Access Level:acceso abierto
Palabra clave:Collocations
Collocation recognition
Collocation semantic classification
Second language learning
Word embeddings
Transformation matrix
Colocaciones
Reconocimiento de colocaciones
Clasificación semántica de colocaciones
Aprendizaje de lenguas
Matriz de transformación
Descripción
Sumario:Collocations are combinations of two lexically dependent elements, of which one (the base) is freely chosen because of its meaning, and the choice of the other (the collocate) depends on the base. Collocations are difficult to master by language learners. This difficulty becomes evident in that even when learners know the meaning they want to express, they often struggle to choose the right collocate. Collocation dictionaries, in which collocates are grouped into semantic categories, are useful tools. However, they are scarce since they are the result of costintensive manual elaboration. In this paper, we present for Spanish an algorithm that automatically retrieves for a given base and a given semantic category the corresponding collocates.