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We analyze the information provided by the word embeddings about thegrammatical gender in Swedish. We wish that this paper may serve as one of thebridges to connect the methods of computational linguistics and generallinguistics. Taking nominal classification in Swedish as a case study, we firstshow how the information about grammatical gender in language can be capturedby word embedding models and artificial neural networks. Then, we match ourresults with previous linguistic hypotheses on assignment and usage ofgrammatical gender in Swedish and analyze the errors made by the computationalmodel from a linguistic perspective.

Word embedding and neural network on grammatical gender -- A case study of Swedish