|Title||Language Similarity Based on Machine Learning|
This talk announces a complex and audacious research project that covers the Romanian language both on a horizontal dimension, in the area, and a vertical one, on time. Many methodological aspects were unclear at the beginning of the research period, but little by little, they began to take shape and, while results started to accumulate, new ideas and perspectives of continuation emerged. The language diachronicity is analyzed using statistical models that use morpho-syntactic and semantic features. Applying some recent statistical models of language investigation, the study touches aspects that go from morphosyntactic analysis to semantic analysis.
Daniela Gîfu, licensed in Physics at the “Alexandru Ioan Cuza” University of Iași (UAIC), master degree in Communication and PR (2004, SNSPA București), PhD in Philosophy (2010, UAIC), PhD in Computer Science (2016). She is the scientific researcher at the Romanian Academy Iasi Branch - Institute of Computer Science and an expert on Natural Language Processing issues at the Executive Unit for Financing Higher Education, Research, Development and Innovation (UEFISCDI), Romania. In addition, she has a position of Associate Professor at the UAIC, since 2011. Since 2014, she is, also, an affiliated scientific researcher at the Center for Advanced Research in Applied Informatics, University of Craiova, Romania, and between 2013-2016, she was a scientific research at the Faculty of Computer Science, UAIC. Her current research interests include Natural Language Processing tasks, most of them in correlation with discourse analysis. She has (co-)authored 13 books and dozens of articles, and more than 60 conferences participation. She was a member of the Organizing Committees of the 18th International Conferences and member of the Scientific Programme Committees of the 17th International (ISI and Springer) Conferences. More information:http://profs.info.uaic.ro/~daniela.gifu/