论文标题
语法性别上的单词嵌入和神经网络 - 瑞典语的案例研究
Word embedding and neural network on grammatical gender -- A case study of Swedish
论文作者
论文摘要
我们分析了嵌入一词提供的有关瑞典语法性别的信息。我们希望本文可以充当连接计算语言学方法和一般语言学方法的桥梁之一。我们首先将瑞典语中的名义分类作为案例研究，首先展示如何通过单词嵌入模型和人工神经网络来捕获有关语言中语法性别的信息。然后，我们将结果与以前关于瑞典语中语法性别的分配和使用的语言假设相匹配，并从语言角度分析了计算模型的错误。
We analyze the information provided by the word embeddings about the grammatical gender in Swedish. We wish that this paper may serve as one of the bridges to connect the methods of computational linguistics and general linguistics. Taking nominal classification in Swedish as a case study, we first show how the information about grammatical gender in language can be captured by word embedding models and artificial neural networks. Then, we match our results with previous linguistic hypotheses on assignment and usage of grammatical gender in Swedish and analyze the errors made by the computational model from a linguistic perspective.
