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The present monograph is a continuation of Cyvin SJ, Brunvoll J and
Cyvin (1991c), a reference to be found in Bibliography. Naturally,
the previous volume is cited frequently here. For the sake of
brevity, it is referred to as "Volume I." References to different
chapters, sections or paragraphs are given like Vol. 1-1, 1-1.2 or
1-1.2.2, respectively. Also tables and equations in "Volume I" are
cited; the very last equation therein, for instance, is Vol.
I-{9.9). The present text spans from references to organic
syntheses or attempted organic syntheses - - to stringent
mathematical theorems proved by graph-theoretical methods.
Enumerations of coronoid systems is a substantial part of the work.
Algebraic methods involving combinatorics and generating functions
are employed on one hand, and computer programming on the other.
The whole book is supposed to demonstrate a piece of mathematical
chemistry, which can be characterized as lying on the "interfaces
between mathematics, chemistry and computer science," a formulation
used for the MATH/CHEM/COMP Conferences; d. Cyvin SJ, Brunvoll and
Cyvin (1989d) in Bibliography. Financial support to BNC from the
Norwegian Council for Science and the Humanities is gratefully
acknowledged.
A new perspective on phonetic variation is achieved in this volume
through the construction of a series of models of spoken American
English. In the past, computer theorists and programmers
investigating pronunciation have often relied on their own
knowledge of the language or on limited transcription data. Speech
recognition researchers, on the other hand, have drawn on a great
deal of data but without examining in detail the information about
pronunciation the data contains. The authors combine the best of
each approach to develop probabilistic and rule-based computational
models of transcription data. An ongoing controversy in studies of
phonetic variation is the existence and proper definition of a
phonetic unit. The authors argue that assumptions about the units
of spoken language are critical to a computational model. Their
computational models employ suprasegmental elements such as
syllable boundaries, stress, and position in a unit called a
metrical foot. The use of such elements in modeling data enables
the creation of better computational models for both recognition
and synthesis technology. This book should be of interest to speech
engineers, linguists, and anyone who wishes to understand symbolic
systems of communication.
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