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Learn about repetition, adaptation, and language modeling in this lecture delivered by Kenneth Ward Church, Department Head at AT&T Labs-Research, at Johns Hopkins University's Center for Speech and Language Processing. Explore fundamental concepts in computational linguistics and natural language processing as Church discusses how repetition patterns influence language modeling approaches and the role of adaptation mechanisms in improving model performance. Gain insights into statistical language modeling techniques and their applications in speech and language processing systems. Discover how repetition phenomena in natural language can be leveraged to build more effective computational models, drawing from Church's extensive research experience in computational linguistics and his work at AT&T Labs-Research. Examine the theoretical foundations and practical implications of these concepts for developing robust language processing systems.
