Pascal Programming for Music Research addresses those who wish to develop the programming skills necessary for doing computer-assisted music research, particularly in the fields of music theory and musicology. Many of the programming techniques are also applicable to computer assisted instruction (CAI), composition, and music synthesis. The programs and techniques can be implemented on personal computers or larger computer systems using standard Pascal compilers and will be valuable to anyone in the humanities creating data bases.

Among its useful features are:
-complete programs, from simple illustrations to substantial applications;
-beginning programming through such advanced topics as linked data structures, recursive algorithms, DARMS translation, score processing;
-bibliographic references at the end of each chapter to pertinent sources in music theory, computer science, and computer applications in music;
-exercises which explore and extend topics discussed in the text;
-appendices which include a DARMS translator and a library of procedures for building and manipulating a linked representation of scores;
-most algorithms and techniques that are given in Pascal programming translate easily to other computer languages.

Beginning, as well as advanced, programmers and anyone interested in programming music applications will find this book to be an invaluable resource.

Gail Hawisher and Cynthia Selfe created a volume that set the agenda in the field of computers and composition scholarship for a decade. The technology changes that scholars of composition studies faced as the new century opened couldn't have been more deserving of passionate study. While we have always used technologies (e.g., the pencil) to communicate with each other, the electronic technologies we now use have changed the world in ways that we have yet to identify or appreciate fully. Likewise, the study of language and literate exchange, even our understanding of terms like literacy, text, and visual, has changed beyond recognition, challenging even our capacity to articulate them.

As Hawisher, Selfe, and their contributors engage these challenges and explore their importance, they "find themselves engaged in the messy, contradictory, and fascinating work of understanding how to live in a new world and a new century." The result is a broad, deep, and rewarding anthology of work still among the standard works of computers and composition study.

The proliferation of smart devices, digital media, and network technologies has led to everyday people experiencing everyday things increasingly on and through the screen. In fact, much of the world has become so saturated by digital mediations that many individuals have adopted digitally inflected sensibilities. This gestures not simply toward posthumanism, but more fundamentally toward an altogether post-digital condition—one in which the boundaries between the “real” and the “digital” have become blurred and technology has fundamentally reconfigured how we make sense of the world.
 
Post-Digital Rhetoric and the New Aesthetic takes stock of these reconfigurations and their implications for rhetorical studies by taking up the New Aesthetic—a movement introduced by artist/digital futurist James Bridle that was meant to capture something of a digital way of seeing by identifying aesthetic values that could not exist without computational and digital technologies. Bringing together work in rhetoric, art, and digital media studies, Hodgson treats the New Aesthetic as a rhetorical ecology rather than simply an aesthetic movement, allowing him to provide operative guides for the knowing, doing, and making of rhetoric in a post-digital culture.
 

Compared to many languages, English has relatively fixed word order, but the ordering among phrases following the verb exhibits a good deal of variation. This monograph explores factors that influence the choice among possible orders of postverbal elements, testing hypotheses using a combination of corpus studies and psycholinguistic experiments. Wasow's final chapters explore how studies of language use bear on issues in linguistic theory, with attention to the roles of quantitative data and Chomsky's arguments against the use of statistics and probability in linguistics.

Education is in crisis—at least, so we hear. And at the center of this crisis is technology. New technologies like computer-based classroom instruction, online K–12 schools, MOOCs (massive open online courses), and automated essay scoring may be our last great hope—or the greatest threat we have ever faced.

In The Problem with Education Technology, Ben Fink and Robin Brown look behind the hype to explain the problems—and potential—of these technologies. Focusing on the case of automated essay scoring, they explain the technology, how it works, and what it does and doesn’t do. They explain its origins, its evolution (both in the classroom and in our culture), and the controversy that surrounds it. Most significantly, they expose the real problem—the complicity of teachers and curriculum-builders in creating an education system so mechanical that machines can in fact often replace humans—and how teachers, students, and other citizens can work together to solve it.

Offering a new perspective on the change that educators can hope, organize, and lobby for, The Problem with Education Technology challenges teachers and activists on “our side,” even as it provides new evidence to counter the profit-making, labor-saving logics that drive the current push for technology in the classroom.

Most computer programs that analyze spoken dialogue use a spoken command grammar, which limits what the user can say when talking to the system. To make this process simpler, more automated, and effective for command grammars even at initial stages of a project, the Regulus grammar compiler was developed by a consortium of experts—including NASA scientists. This book presents a complete description of both the practical and theoretical aspects of Regulus and will be extremely helpful for students and scholars working in computational linguistics as well as software engineering.