Konferenzbeitrag
Count-based and predictive language models for exploring DeReKo
We present the use of count-based and predictive language models for exploring language use in the German Reference Corpus DeReKo. For collocation analysis along the syntagmatic axis we employ traditional association measures based on co-occurrence counts as well as predictive association measures derived from the output weights of skipgram word embeddings. For inspecting the semantic neighbourhood of words along the paradigmatic axis we visualize the high dimensional word embeddings in two dimensions using t-stochastic neighbourhood embeddings. Together, these visualizations provide a complementary, explorative approach to analysing very large corpora in addition to corpus querying. Moreover, we discuss count-based and predictive models w.r.t. scalability and maintainability in very large corpora.
- Sprache
-
Englisch
- Thema
-
Korpus <Linguistik>
Deutsch
Kollokation
Syntagma
Assoziationsmaß
Paradigma
Sprache
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Fankhauser, Peter
Kupietz, Marc
- Ereignis
-
Veröffentlichung
- (wer)
-
Paris : European Language Resources Association (ELRA)
Mannheim : Leibniz-Institut für Deutsche Sprache (IDS)
- (wann)
-
2022-07-01
- URN
-
urn:nbn:de:bsz:mh39-111107
- Letzte Aktualisierung
-
06.03.2025, 09:00 MEZ
Datenpartner
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Objekttyp
- Konferenzbeitrag
Beteiligte
- Fankhauser, Peter
- Kupietz, Marc
- Paris : European Language Resources Association (ELRA)
- Mannheim : Leibniz-Institut für Deutsche Sprache (IDS)
Entstanden
- 2022-07-01
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