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Skip to Search Results- 38Artificial intelligence
- 13NLP
- 10Machine learning
- 9Natural language processing
- 5Computational linguistics
- 3Digital humanities
- 3Noonari, Juned (Supervisor)
- 2Barker, Thomas (Supervisor)
- 2John B. Smith
- 2UNESCO Information For All Programme (IFAP)
- 1Ali Shiri
- 1Allen, Timothy Karl van.
- 38Graduate and Postdoctoral Studies (GPS), Faculty of
- 38Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 4Master of Science in Internetworking (MINT)
- 4Master of Science in Internetworking (MINT)/Capstone Projects & Reports (Master of Science in Internetworking (MINT))
- 3Histories of Humanities Computing
- 3Histories of Humanities Computing/Histories of Humanities Computing
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Fall 2010
Natural Language Processing (NLP) develops computational approaches to processing language data. Supervised machine learning has become the dominant methodology of modern NLP. The performance of a supervised NLP system crucially depends on the amount of data available for training. In the...
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Spring 2023
The gaming industry has experienced a sharp growth in recent years, surpassing other popular entertainment segments, such as the film industry. With the ever-increasing scale of the gaming industry and the fact that players are extremely difficult to satisfy, it has become extremely challenging...
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Fall 2011
Grapheme-to-phoneme conversion (G2P) and machine transliteration are important tasks in natural language processing. Supplemental data can often help resolve difficult ambiguities: existing transliterations of the same word can help choose among a G2P system’s candidate output transcriptions;...
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Fall 2014
There is no doubt that Internet becomes one of the most important sources of information. At the same time the amount of information stored on the web and available for users becomes enormous. In order to make this information more accessible and create prospects for software to process it...
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Spring 2016
Ideal agent behaviour in multiagent environments depends on the behaviour of other agents. Consequently, acting to maximize utility is challenging since an agent must gather and exploit knowledge about how the other (potentially adaptive) agents behave. In this thesis, we investigate how an...
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Spring 2012
Havannah is a recent game that is interesting from an AI research perspective. Some of its properties, including virtual connections, frames, dead cells, draws and races to win, are explained. Monte Carlo Tree Search (MCTS) is well suited to play Havannah, but many improvements are possible....
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Fall 2010
The game of Hex is of interest to the mathematics, algorithms, and artificial intelligence communities. It is a classical PSPACE-complete problem, and its invention is intrinsically tied to the Four Colour Theorem and the well-known strategy-stealing argument. Nash, Shannon, Tarjan, and Berge are...