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Saturnino Luz
Trinity College Dublin
Dublin, Ireland

Saturnino Luz is a lecturer in computer science at Trinity College (Dublin, Ireland), where he currently teaches courses in artificial intelligence, information management, and human-computer interaction. He also conducts research in cooperation with the computational linguistics and machine learning research groups.

The overall goal of his research is to develop novel technologies that might improve the quality of interaction between humans and computers. His interests include a variety of subjects, such as spoken language recognition and processing, computer-supported collaborative work, dialogue systems, software agents, and applications of categorial logics to natural language parsing. Over the past few years, he has worked on inference engines and knowledge representation modules for dialogue systems, developed a system for Internet-based access to large, distributed corpora, and collaborated on projects on spoken language dialogue systems and in the European Network for Intelligent Information Interfaces (i3net). Recently, Luz has been working on interfaces to enable users to retrieve information from multimedia records, on desktop as well as handheld computers.

Despite the fact that a great deal of his work is concerned with making the interaction between humans and computers easier and more natural, Luz sees no problem with writing his papers in LaTeX, editing HTML code in Emacs, or compiling a C program by typing a command line (though he admits that this last one might seem somewhat "unnatural").


 Why only us: language and evolution
Berwick R., Chomsky N., The MIT Press, Cambridge, MA, 2016. 224 pp.  Type: Book (978-0-262034-24-1)

Although it underlies all our scientific and philosophical endeavors, human language ability remains one of science’s greatest puzzles. Generalizations regarding the functioning of language, the mechanisms that enable infants...


Emotion recognition using speech features
Krothapalli S., Koolagudi S., Springer Publishing Company, Incorporated, New York, NY, 2013. 136 pp.  Type: Book (978-1-461451-42-6)

This short book is part of a series that aims to provide “concise summaries of cutting-edge research and practical applications.” As such, it fulfills one’s expectations quite well. The book is a hybrid, c...


Ambient commons: attention in the age of embodied information
McCullough M., The MIT Press, Cambridge, MA, 2013. 368 pp.  Type: Book (978-0-262018-80-7)

Ambient commons is an investigation of human attention against the backdrop of an increasing intermingling of information technology with the (physical) environment. The author builds on elements drawn from a variety of discipli...


Syntactic discriminative language model rerankers for statistical machine translation
Carter S., Monz C. Machine Translation 25(4): 317-339, 2011.  Type: Article

Machine translation technology has reached a level of maturity that allows for its use in a variety of applications. However, in many cases, the quality of machine translation output still leaves a lot to be desired. In the case of sta...


Mining of massive datasets
Rajaraman A., Ullman J., Cambridge University Press, New York, NY, 2011. 326 pp.  Type: Book (978-1-107015-35-7)

It has become commonplace to assert the growing importance of large datasets in modern information systems. Consequently, the demand for algorithms and methods that can deal with such data efficiently is increasing. However, there are ...


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