Diesner-Mayer, TheodorSeidel, NielsMühlhäuser, MaxReuter, ChristianPfleging, BastianKosch, ThomasMatviienko, AndriiGerling, Kathrin|Mayer, SvenHeuten, WilkoDöring, TanjaMüller, FlorianSchmitz, Martin2022-08-312022-08-312022https://dl.gi.de/handle/20.500.12116/39264The avoidance of the generic masculine is an important part of a gender-neutral use of the German language. This paper presents a rule-based natural language processing system that identifies occurrences of the generic masculine and suggests gender-neutral corrections. The system was evaluated with 238 labeled news articles from the TIGER corpus. About 88 % of the occurrences were correctly identified. Grammatically well-formed suggestions could be generated for about 94 % of the correctly identified occurrences. A web application was developed to support gender-neutral writing by suggesting corrections for nouns and pronouns written in the generic masculine.enNatural Language ProcessingWriting SupportGenderText/Conference Paper10.1145/3543758.3547566