Konferenzbeitrag

Cognitive features in a corpus-based dictionary of commonly confused words

This paper discusses how cognitive aspects can be incorporated into lexicographic meaning descriptions based on corpus-driven analysis. The new German Online dictionary “Paronyme − Dynamisch im Kontrast” is concerned with easily confused words such as effektiv/effizient, sensibel/sensitiv. It is currently in the process of being developed and it aims at adopting a more conceptual and encyclopedic approach to meaning. Contrastive entries emphasize usage, comparing conceptual categories and indicating the mapping of knowledge. Adaptable access to lexicographic details offers different perspectives on information, and authentic examples reflect prototypical structures. Some of the cognitive features are demonstrated with the help of examples. Firstly, I will outline how patterns of usage imply conceptual categories as central ideas instead of sufficiently logical criteria of semantic distinction. In this way, linguistic findings correlate better with how users conceptualize language. Secondly, it is pointed out how collocates are family members and fillers in contexts. Thirdly, I will demonstrate how contextual structure and function are included by summarizing referential information. Details are drawn from corpus data; they are usage-based patterns illustrating conversational interaction and semantic negotiation in contemporary public discourse. Finally, I will show flexible consultation routines where the focus on structural knowledge changes.

Sprache
Englisch

Thema
Kognitive Linguistik
Paronym
Faux amis
Semantik
Germanische Sprachen; Deutsch

Ereignis
Geistige Schöpfung
(wer)
Storjohann, Petra
Ereignis
Veröffentlichung
(wer)
Brno, Czech Republic : Lexical Computing CZ s.r.o.
(wann)
2017-09-19

URN
urn:nbn:de:bsz:mh39-64220
Letzte Aktualisierung
06.03.2025, 09:00 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
Leibniz-Institut für Deutsche Sprache - Bibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Konferenzbeitrag

Beteiligte

  • Storjohann, Petra
  • Brno, Czech Republic : Lexical Computing CZ s.r.o.

Entstanden

  • 2017-09-19

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