The Development of Context Specificity of Lemma. A Word Embeddings Approach

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.

Keywords

• Context Specificity
• quantitative linguistics
• corpus linguistics
• word embeddings