Projects & Grants

Internal Grant Competition DGC





Analysis of Context Specificity of Lemma using Neural Networks
Project IdSGS01/ÚVAFM/2018
Main solverMgr. Miroslav Kubát, Ph.D.
Periodr1/2018 - 12/2018
ProviderSpecifický VŠ výzkum
Statefinished
AnotationThe project follows up the previous SGS project Application of Neural Networks in Diachronic and Synchronic Semantic Analysis of Texts. The first analysis showed that there is a convincing potential of this approach. The main goal is to extend the functionality of the developed software and to discover the possible applications of the proposed method in linguistic research. Specifically, with our method we can measure the Context specificity of lemma (CSL). This method is based on the Word2vec technique and measures the degree of the context specificity of a lemma.The proposed project corresponds both to the research of the Institute for Research and Applications of Fuzzy Modeling of the University of Ostrava in the field of neural networks, as well as to the main branch of quantitative textual linguistics at the Department of Czech Language, Faculty of Arts of the University of Ostrava. As an interdisciplinary research of natural science and humanities, which is still rather rare, it will bring innovative insights to the application of neural networks in linguistic research. The results of the project will be presented in two articles (1 in an international impacted journal, 1 in a Czech reviewed journal) and two conference presentations. The output of the project will be also presented at the project website.