Konferenzbeitrag
Development of neural network based rules for confusion set disambiguation in LanguageTool
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Dokumententyp
Text/Conference Paper
Dateien
Datum
2018
Autor:innen
Zeitschriftentitel
ISSN der Zeitschrift
Bandtitel
Quelle
SKILL 2018 - Studierendenkonferenz Informatik
Neuronale Netze
Verlag
Gesellschaft für Informatik e.V.
Zusammenfassung
Confusion set disambiguation is a typical task for grammar checkers like LanguageTool. In this paper we present a neural network based approach which has low memory requirements, high precision with decent recall, and can easily be integrated into LanguageTool. Furthermore, adding support for new confusion pairs does not need any knowledge of the target language. We examine different sampling techniques and neural network architectures and compare our approaches with an existing memory-based algorithm.