Toward Automatic Determination of the Semantics of Connectives in Large Newspaper Corpora

Datos Bibliográficos

ID11273032
AutoresYves Bestgen (0000-0001-7407-7797, autor de correspondencia), Liesbeth Degand (0000-0003-1062-9243), Wilbert Spooren (0000-0002-2982-3970)
Año2006
Volumen41
Número2
Páginas175-193
Fecha de publicación2006-03-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaDiscourse Processes (JOURNAL)
Identificadores de la revistaISSN: 0163-853X • E-ISSN: 1532-6950
EditorialInforma UK Limited (PUBLISHER • GB)
DOI10.1207/s15326950dp4102_4
OpenAlexW2142353658
IdiomaEN
Citas recibidas4
Referencias citadas18

We explored the possibility of using automatic techniques to analyze the use of backward causal connectives in large Dutch newspaper corpora. With the help of 2 techniques, Latent Semantic Analysis and Thematic Text Analysis, the contexts of more than 14,000 connectives were studied. The method of analysis is described. We found that differences that have been suggested in the literature via hand-based analyses between these types of connectives (e.g., on dimensions such as subjectivity, change in perspective, and factuality of the connected segments) also appear in our corpus of 16.5 million words. Copyright © 2006, Lawrence Erlbaum Associates, Inc

Corpus linguistics · Latent semantic analysis · Linguistics · Natural language processing · Newspaper · Perspective (graphical · Semantics (computer science · Sociology · Subjectivity · Authorship Attribution and Profiling · Computer Science · Natural Language Processing Techniques · Topic Modeling · Artificial Intelligence