ABSTRACT

The study deals with the application of the neural networks in the linguistic research of word semantics. A new method of measuring context specificity of lemma based on Word Embeddings Word2vec technique is proposed in the first part of the article. Then the method is illustrated in the analysis of the Czech political discourse in the second part. The research is based on the corpus of the Czech journalism consisting of more than 3 billion tokens. The results show that the proposed method is applicable for detecting the semantic development of a lemma and it could have a great potential for linguistic studies if one can apply it with comprehensive explanations.

摘要

该研究涉及神经网络在单词语义学语言研究中的应用。本文的第一部分提出了一种基于词嵌入Word2vec技术的词条上下文特殊性度量方法。然后在第二部分对捷克政治话语的分析中说明了该方法。该研究基于捷克新闻业的语料库，该语料库包含超过30亿个令牌。结果表明，所提出的方法适用于检测引理的语义发展，如果能够进行全面的解释，可以为语言学研究提供巨大的潜力。