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Natural Language Processing: Analysis of Information Technology Students’ Spoken Language
 Stanković, Aleksandar ; Šťastná, Dagmar (oponent) ; Ellederová, Eva (vedoucí práce)
This bachelor’s thesis deals with the issue of new artificial intelligence technologies in natural language processing. The thesis consists of a theoretical part and an analytical part. The theoretical part approaches the issue by dividing it into three chapters: artificial intelligence and statistics, natural language processing, and IBM Watson Natural Language Understanding. Each of these chapters is elaborated on by using at least one example from the real world. In the first chapter, the main aim is to frame the theoretical framework of artificial intelligence and its practices, while in the second chapter, natural language processing and its primary functions are explained as well as its relation to artificial intelligence itself. The aim of the third chapter is to introduce natural language understanding as the primary tool for analysis which is done in the analytical part. The analytical part deals with the analysis of students’ spoken language using various methods. Collected video samples are transcribed by means of a machine translator as a natural language processing application, while the textual output is analysed through a natural language understanding engine. The applied knowledge from the theoretical part is used in the analytical part that includes the description of research methodology, presentation and interpretation of research results.
Úplný záznam
Natural Language Processing: Analysis of Information Technology Students’ Spoken Language
 Stanković, Aleksandar ; Šťastná, Dagmar (oponent) ; Ellederová, Eva (vedoucí práce)
This bachelor’s thesis deals with the issue of new artificial intelligence technologies in natural language processing. The thesis consists of a theoretical part and an analytical part. The theoretical part approaches the issue by dividing it into three chapters: artificial intelligence and statistics, natural language processing, and IBM Watson Natural Language Understanding. Each of these chapters is elaborated on by using at least one example from the real world. In the first chapter, the main aim is to frame the theoretical framework of artificial intelligence and its practices, while in the second chapter, natural language processing and its primary functions are explained as well as its relation to artificial intelligence itself. The aim of the third chapter is to introduce natural language understanding as the primary tool for analysis which is done in the analytical part. The analytical part deals with the analysis of students’ spoken language using various methods. Collected video samples are transcribed by means of a machine translator as a natural language processing application, while the textual output is analysed through a natural language understanding engine. The applied knowledge from the theoretical part is used in the analytical part that includes the description of research methodology, presentation and interpretation of research results.
Úplný záznam

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