Search for dissertations about: "expressive technology"
Showing result 1 - 5 of 59 swedish dissertations containing the words expressive technology.
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1. Evaluating credal set theory as a belief framework in high-level information fusion for automated decision-making
Abstract : High-level information fusion is a research field in which methods for achieving an overall understanding of the current situation in an environment of interest are studied. The ultimate goal of these methods is to provide effective decision-support for human or automated decision-making. READ MORE
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2. Embodying Politeness in Persuasive Humanoid Agents for Small Group Scenarios
Abstract : In both physical and virtual environments, small group interactions significantly shape our social experiences. Understanding and replicating situated group interactions with virtual agents or physical robots pose possibilities and challenges. READ MORE
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3. Expressivity and Complexity of the Grammatical Framework
Abstract : This thesis investigates the expressive power and parsing complexity of the Grammatical Framework (GF), a formalism originally designed for displaying formal propositions and proofs in natural language. This is done by relating GF with two more well-known grammar formalisms; Generalized Context-Free Grammar (GCFG), best seen as a framework for describing various grammar formalisms; and Parallel Multiple Context-Free Grammar (PMCFG), an instance of GCFG. READ MORE
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4. Expressiveness in virtual talking faces
Abstract : In this thesis, different aspects concerning how to make synthetic talking faces more expressive have been studied. How can we collect data for the studies, how is the lip articulation affected by expressive speech, can the recorded data be used interchangeably in different face models, can we use eye movements in the agent for communicative purposes? The work of this thesis includes studies of these questions and also an experiment using a talking head as a complement to a targeted audio device, in order to increase the intelligibility of the speech. READ MORE
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5. Translation as Linear Transduction : Models and Algorithms for Efficient Learning in Statistical Machine Translation
Abstract : Automatic translation has seen tremendous progress in recent years, mainly thanks to statistical methods applied to large parallel corpora. Transductions represent a principled approach to modeling translation, but existing transduction classes are either not expressive enough to capture structural regularities between natural languages or too complex to support efficient statistical induction on a large scale. READ MORE