Search for dissertations about: "language evaluation"
Showing result 16 - 20 of 232 swedish dissertations containing the words language evaluation.
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16. Ask and distract : Data-driven methods for the automatic generation of multiple-choice reading comprehension questions from Swedish texts
Abstract : Multiple choice questions (MCQs) are widely used for summative assessment in many different subjects. The tasks in this format are particularly appealing because they can be graded swiftly and automatically. READ MORE
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17. Teaching mobile robots to use spatial words
Abstract : The meaning of spatial words can only be evaluated by establishing a reference to the properties of the environment in which the word is used. For example, in order to evaluate what is to the left of something or how fast is fast in a given context, we need to evaluate properties such as the position of objects in the scene, their typical function and behaviour, the size of the scene and the perspective from which the scene is viewed. READ MORE
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18. Unsupervised Learning of Morphology: Survey, Model, Algorithm and Experiments
Abstract : This thesis contains work on a specific problem in field of Language Technology. The problem can be described as follows: "Can a computer extract a description of word conjugation in a natural language using only written text in the language?" The problem is often referred to as Unsupervised Learning of Morphology (ULM) and has a wide variety of Language Technology applications, including Machine Translation, Document Categorization and I nformation Retrieval. READ MORE
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19. Computer support for learners of spoken English
Abstract : This thesis concerns the use of speech technology to support the process of learning the English language. It applies theories of computer-assisted language learning and second language acquisition to address the needs of beginning, intermediate and advanced students of English for specific purposes. READ MORE
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20. Error Handling in Spoken Dialogue Systems : Managing Uncertainty, Grounding and Miscommunication
Abstract : Due to the large variability in the speech signal, the speech recognition process constitutes the major source of errors in most spoken dialogue systems. A spoken dialogue system can never know for certain what the user is saying, it can only make hypotheses. READ MORE