National Repository of Grey Literature 4 records found  Search took 0.00 seconds. 
Word Sense Clustering
Haljuk, Petr ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
This Bachelor's thesis deals with the semantic similarity of words . It describes the design and the implementation of a system, which searches for the most similar words and measures the semantic similarity of words . The system uses the Word2Vec model from GenSim library . It learns the relations among words from CommonCrawl corpus .
Prolog Compiler for .NET Platform
Haljuk, Petr ; Křivka, Zbyněk (referee) ; Kolář, Dušan (advisor)
This Master's deals with the implementation of the interpreter of logic programming language "Prolog". It summarises the different approaches to evaluation of programs in thislanguage with focus on description of The Warren Abstract Machine. A new way of integratingProlog into The Microsoft .NET platform has been designed as well as its connectionwith object-oriented languages. Subsequently, an interpreter and a compiler based on TheWarren Abstract Machine have been designed and implemented including the connectionto The Microsoft.NET platform.
Prolog Compiler for .NET Platform
Haljuk, Petr ; Křivka, Zbyněk (referee) ; Kolář, Dušan (advisor)
This Master's deals with the implementation of the interpreter of logic programming language "Prolog". It summarises the different approaches to evaluation of programs in thislanguage with focus on description of The Warren Abstract Machine. A new way of integratingProlog into The Microsoft .NET platform has been designed as well as its connectionwith object-oriented languages. Subsequently, an interpreter and a compiler based on TheWarren Abstract Machine have been designed and implemented including the connectionto The Microsoft.NET platform.
Word Sense Clustering
Haljuk, Petr ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
This Bachelor's thesis deals with the semantic similarity of words . It describes the design and the implementation of a system, which searches for the most similar words and measures the semantic similarity of words . The system uses the Word2Vec model from GenSim library . It learns the relations among words from CommonCrawl corpus .

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