2017
INTERSPEECH
INTERSPEECH 2017
Measuring Encoding Efficiency in Swedish and English Language Learner Speech Production
Abstract
We use n-gram language models to investigate how far language approximates an optimal code for human communication in terms of Information Theory [1], and what differences there are between Learner proficiency levels. Although the language of lower level learners is simpler, it is less optimal in terms of information theory, and as a consequence more difficult to process.
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Interdisciplinary Bridge
— Interdisciplinary and Machine Learning and Mathematics & Optimization
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Keyword Pioneer
— encoding efficiency
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Hot Topic Early Bird
— information theory
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio