Search for dissertations about: "Text To Speech software"
Found 4 swedish dissertations containing the words Text To Speech software.
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1. A Linguistic Analysis of Peer-review Critique in Four Modes of Computer-mediated Communication
Abstract : Abstract The present work is a quantitative and qualitative analysis of pragmatic strategies for delivering critique, and types of politeness, used by undergraduate L2 students of English at different stages of peer-review discussion. The material examined consists of four corpora of authentic conversations between students, the main purpose of which was to give feedback on each other’s contributions during an English A-level course, at Mid-Sweden University. READ MORE
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2. Reinforcement Learning for Improved Utility of Simulation-Based Training
Abstract : Team training in complex domains often requires a substantial number of resources, e.g. vehicles, machines, and role-players. For this reason, it may be difficult to realise efficient and effective training scenarios in a real-world setting. READ MORE
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3. Word Alignment by Re-using Parallel Phrases
Abstract : In this thesis we present the idea of using parallel phrases for word alignment. Each parallel phrase is extracted from a set of manual word alignments and contains a number of source and target words and their corresponding alignments. If a parallel phrase matches a new sentence pair, its word alignments can be applied to the new sentence. READ MORE
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4. MaltParser -- An Architecture for Inductive Labeled Dependency Parsing
Abstract : This licentiate thesis presents a software architecture for inductive labeled dependency parsing of unrestricted natural language text, which achieves a strict modularization of parsing algorithm, feature model and learning method such that these parameters can be varied independently. The architecture is based on the theoretical framework of inductive dependency parsing by Nivre \citeyear{nivre06c} and has been realized in MaltParser, a system that supports several parsing algorithms and learning methods, for which complex feature models can be defined in a special description language. READ MORE