Students will gain knowledge and skills in the area of computational processing of natural languages and will be able to independently model the procedures of lexical and syntactic analysis of natural languages.
They will also be able to use tools to extract information from texts. NooJ NLP environment will be used to demonstrate Finite-State Automata (FSA), Recursive Transition Networks (RTNs), Enhanced Recursive Transition Networks (ERTNs), Context-Free Grammars (CFGs) and Context-Sensitive Grammars (CSGs). Perl and NooJ Regular Expressions will be used for unstructured text querying. Local grammars will be built via graph and rule editors (inflectional, derivational, lexical, orthographical, morphological, terminological, syntactic, semantic and translation grammars).
Disambiguation of results and building Concordances will be exemplified. Algorithms will be evaluated (precision, recall, f-measure) and compared. NLP in Big Data context will be discussed.
- Izvođač: Kristina Kocijan