Language Resources and Evaluation

doi: 10.1007/BF00120961pmid: N/A

Greenberg, Gary

doi: 10.1007/BF00120962pmid: N/A

This paper describes how the creative arts can provide an alternative approach to computer programming that may benefit students in the humanities in general. It focuses on creative arts projects using text, graphics and music that allow students to encounter the same programming concepts from a number of different perspectives. It also discusses the importance of symbolic programming for the arts and how the creative arts can provide a particularly rich environment for developing approaches to object-oriented programming.

Cushing, Steven

doi: 10.1007/BF00120963pmid: N/A

A new one-semester course is described in which undergraduate students in non-technical majors are shown how traditional philosophical problems of knowledge, cognition, language, and human nature can be fruitfully investigated with computer-related concepts and techniques. A series of simple experiments is used to demonstrate to undergraduates that mental phenomena are real, that they can be studied experimentally, and that they can be modeled insightfully in computational — i.e., information-processing — terms. Each experiment illustrates a basic fact or principle of cognitive science: the formal character of algorithms; creativity and the variants of the Turing test; limitations on human memories; the use of cognitive strategies; heuristic techniques of artificial intelligence; formal grammars and their associated parsers; social, societal, and anthropological dimensions of mind; and degrees of logicality in human reasoning. Students are also taught the essentials of PROLOG, a programming language that is based explicitly on formal logic, incorporating such notions as fact, database, and query, thereby lending itself readily to the description of complex relational networks of a sort not commonly expected to be amenable to computer analysis.

Klavans, Judith; Chodorow, Martin

doi: 10.1007/BF00120964pmid: N/A

This paper presents the results of our experience in using an instructional morphological parser (IMP) as a teaching tool in two graduate level courses, one in theoretical morphology and the other in computational morphology. IMP was written in Waterloo PROLOG by the second author and is based on the UDICT morphology system (Byrd 1983). The courses were taught by the first author at the Graduate School of the City University of New York. We present a brief overview of computational morphology and discuss in detail the implementation we used for IMP. We then give an outline of the two courses with some speculation on the computational and linguistic concepts that our students learned. In particular, we discuss the problems we encountered in teaching the notion of recursion.

Koch, Christian

doi: 10.1007/BF00120965pmid: N/A

If there is to be a new, substantive area of teaching and research that combines competence in specific areas of the humanities with computer science understandings and skills, such teaching and research needs to be led by persons who themselves are competent in both the humanities and in computer science, rather than by a team of persons who represent a division of labors along the lines of “idea” persons and “technical” persons. The new kind of teaching and research that might result is pointed to by describing a connectionist, neural network approach to the study of metaphor.

Meyer, Ingrid

doi: 10.1007/BF00120966pmid: N/A

With increasing human-machine interaction in the professional translator's work environment, more and more translator training programs are launching translation-specific computer studies. This paper focuses on the research-oriented, as opposed to the practically-oriented, translation program. We argue that computer studies in such a program should prepare students for research at either the receiving or production ends of machine translation systems, both of which require linguistic, computational and translational expertise. We discuss some general considerations for the design of such computer studies, based on a seminar given in the M.A. Translation program at the University of Ottawa, Canada.

doi: 10.1007/BF00120967pmid: N/A

doi: 10.1007/BF00120968pmid: N/A

doi: 10.1007/BF00120969pmid: N/A

doi: 10.1007/BF00120970pmid: N/A