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Corpus-Based Methods in Language and Speech Processing
Corpus-based methods will be found at the heart of many language and speech processing systems. This book provides an in-depth introduction to these technologies through chapters describing basic statistical modeling techniques for language and speech, the use of Hidden Markov Models in continuous speech recognition, the development of dialogue systems, part-of-speech tagging and partial parsing, data-oriented parsing and n-gram language modeling. The book attempts to give both a clear overview of the main technologies used in language and speech processing, along with sufficient mathematics to understand the underlying principles. There is also an extensive bibliography to enable topics of ...
Williams' Cincinnati Directory ...
Issues for 1860, 1866-67, 1869, 1872 include directories of Covington and Newport, Kentucky.
Water-supply Paper
None
Algorithmics for Hard Problems
Algorithmic design, especially for hard problems, is more essential for success in solving them than any standard improvement of current computer tech nologies. Because of this, the design of algorithms for solving hard problems is the core of current algorithmic research from the theoretical point of view as well as from the practical point of view. There are many general text books on algorithmics, and several specialized books devoted to particular approaches such as local search, randomization, approximation algorithms, or heuristics. But there is no textbook that focuses on the design of algorithms for hard computing tasks, and that systematically explains, combines, and compares the ma...
Annual Reports ...
None
Statistical Pronunciation Modeling for Non-Native Speech Processing
In this work, the authors present a fully statistical approach to model non--native speakers' pronunciation. Second-language speakers pronounce words in multiple different ways compared to the native speakers. Those deviations, may it be phoneme substitutions, deletions or insertions, can be modelled automatically with the new method presented here. The methods is based on a discrete hidden Markov model as a word pronunciation model, initialized on a standard pronunciation dictionary. The implementation and functionality of the methodology has been proven and verified with a test set of non-native English in the regarding accent. The book is written for researchers with a professional interest in phonetics and automatic speech and speaker recognition.
Cognitive Ecology
Cognitive Ecology identifies the richness of input to our sensory evaluations, from our cultural heritage and philosophies of aesthetics to perceptual cognition and judgment. Integrating the arts, humanities, and sciences, Cognitive Ecology investigates the relationship of perception and cognition to wider issues of how science is conducted, and how the questions we ask about perception influence the answers we find. Part One discusses how issues of the human mind are inseparable from the culture from which the investigations arise, how mind and environment co-define experience and actions, and how culture otherwise influences cognitive function. Part Two outlines how philosophical themes of aesthetics have guided psychological research, and discuss the physical and aesthetic perception of music, film, and art. Part Three presents an overview of how the senses interact for sensory evaluation.
Foundations of Statistical Natural Language Processing
Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications.
