Buchbeitrag

Tokenizing on scale. Preprocessing large text corpora on the lexical and sentence level

When comparing different tools in the field of natural language processing (NLP), the quality of their results usually has first priority. This is also true for tokenization. In the context of large and diverse corpora for linguistic research purposes, however, other criteria also play a role – not least sufficient speed to process the data in an acceptable amount of time. In this paper we evaluate several state of the art tokenization tools for German – including our own – with regard to theses criteria. We conclude that while not all tools are applicable in this setting, no compromises regarding quality need to be made.

Tokenizing on scale. Preprocessing large text corpora on the lexical and sentence level

Urheber*in: Diewald, Nils; Kupietz, Marc; Lüngen, Harald

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Language
Englisch

Subject
Korpus <Linguistik>
Englisch, Altenglisch

Event
Geistige Schöpfung
(who)
Diewald, Nils
Kupietz, Marc
Lüngen, Harald
Event
Veröffentlichung
(who)
Mannheim : IDS-Verlag
Mannheim : Leibniz-Institut für Deutsche Sprache (IDS)
(when)
2022-07-20

URN
urn:nbn:de:bsz:mh39-111464
Last update
06.03.2025, 9:00 AM CET

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Object type

  • Buchbeitrag

Associated

  • Diewald, Nils
  • Kupietz, Marc
  • Lüngen, Harald
  • Mannheim : IDS-Verlag
  • Mannheim : Leibniz-Institut für Deutsche Sprache (IDS)

Time of origin

  • 2022-07-20

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