Attribute grammars were introduced over twenty years ago, but they are still not as widely used as could have been hoped initially. This is particularly so in industry, despite their qualities as a specification tool. The aim of this International Workshop on Attribute Grammars and their Applications (WAGA), the first to be entirely devoted to this topic, was to show that they are still the subject of active research and now lead to important, useful and practical applications in various areas. The workshop covered all aspects of attribute grammars, with an emphasis on practical results. This volume includes the text of the three invited talks and 21 submitted papers presented at the workshop. This selection provides a wide view of the diverse research being done in the area. Topics include: - Fundamentals: efficient exhaustive and incremental at- tribute evaluation methods, parallel evaluation, space optimization, relationships with functional, logic and object-oriented programming, and systems. - Applications: compiler construction, natural language processing, and interactive program manipulation.

This volume is the proceedings of the Second Advanced School on Artificial Intelligence (EAIA '90) held in Guarda, Portugal, October 8-12, 1990. The focus of the contributions is natural language processing. Two types of subject are covered: - Linguistically motivated theories, presented at an introductory level, such as X-bar theory and head- driven phrase structure grammar, - Recent trends in formalisms which will be familiar to readers with a background in AI, such as Montague semantics and situation semantics. The topics were chosen to provide a balanced overview of the most important ideas in natural language processing today. Some of the results presented were worked out very recently, are the subject of ongoing research, and have not previously appeared in book form. This book may serve as a textbook: in fact its contents were intended as lecture notes.

We met because we both share the same views of language. Language is a living organism, produced by neural mechanisms relating in large numbers as a society. Language exists between minds, as a way of communicating between them, not as an autonomous process. The logical 'rules' seem to us an epiphe nomena .of the neural mechanism, rather than an essential component in language. This view of language has been advocated by an increasing number of workers, as the view that language is simply a collection of logical rules has had less and less success. People like Yorick Wilks have been able to show in paper after paper that almost any rule which can be devised can be shown to have exceptions. The meaning does not lie in the rules. David Powers is a teacher of computer science. Christopher Turk, like many workers who have come into the field of AI (Artificial Intelligence) was originally trained in literature. He moved into linguistics, and then into computational linguistics. In 1983 he took a sabbatical in Roger Shank's AI project in the Computer Science Department at Yale University. Like an earlier visitor to the project, John Searle from California, Christopher Turk was increasingly uneasy at the view of language which was used at Yale."

This volume contains the papers presented at the International Scientific Symposium "Natural Language and Logic" held in Hamburg in May 1989. The aim of the papers is to present and discuss latest developments in the application of logic-based meth- ods for natural language understanding. Logic-based methods have gained in importance in the field of computational linguistics as well as for representing various types of knowledge in natural language understanding systems. The volume gives an overview of recent results achieved within the LILOG project (LInguistic and LOgic methods for understanding German texts) - one of the largest research projects in the field of text understanding - as well as within related natural language understanding systems.

This book springs from a conference held in Stockholm in May June 1988 on Culture, Language and Artificial Intelligence. It assembled more than 300 researchers and practitioners in the fields of technology, philosophy, history of ideas, literature, lin guistics, social science, etc. It was an initiative from the Swedish Center for Working Life, based on the project AI-Based Systems and the Future of Language, Knowledge and Responsibility in Professions within the COST 13 programme of the European Commission. Participants in the conference, or in some cases researchers related to its aims, were chosen to contribute to this book. It was preceded by Knowledge, Skill and Artificial Intelligence (ed. B. G6ranzon and 1. Josefson, Springer-Verlag, London, 1988) and will be followed by Dialogue and Technology (ed. M. Florin and B. Goranzon, Springer-Verlag, London, 1990). The contributors' thinking in this field varies greatly; so do their styles of writing. For example: contributors have varied in their choice of 'he' or 'he/she' for the third person. No distinction is intended but chapters have been left with the original usage to avoid extensive changes. Similarly, individual contributor's preferences as to notes or references lists have been followed. We want to thank our researcher Satinder P. Gill for excellent work with summaries and indexes, and Sandi Irvine of Springer Verlag for eminent editorial work."

Dr AIvy Ray Smith Executive Vice President, Pixar The pOlyglot language of computer animation has arisen piecemeal as a collection of terms borrowed from geometry, film, video, painting, conventional animation, computer graphiCS, computer science, and publishing - in fact, from every older art or science which has anything to do with pictures and picture making. Robi Roncarelli, who has already demonstrated his foresight by formally identifying a nascent industry and addressing his Computer Animation Newsletter to it, here again makes a useful contribution to it by codifying its jargon. My pleasure in reading his dictionary comes additionally from the many historical notes sprinkled throughout and from surprise entries such as the one referring to Zimbabwe. Just as Samuel Johnson's dictionary of the English language was a major force in stabilizing the spelling of English, perhaps this one will serve a similar purpose for computer animation. Two of my pets are "color" for "colour" and "modeling" "modelling", under the rule that the shorter accepted spelling is always preferable. [Robi, are you reading this?] [Yes, AIvy!] Now I commend this book to you, whether you be a newcomer or an oldtimer.

From tech giants to plucky startups, the world is full of companies boasting that they are on their way to replacing human interpreters, but are they right? Interpreters vs Machines offers a solid introduction to recent theory and research on human and machine interpreting, and then invites the reader to explore the future of interpreting. With a foreword by Dr Henry Liu, the 13th International Federation of Translators (FIT) President, and written by consultant interpreter and researcher Jonathan Downie, this book offers a unique combination of research and practical insight into the field of interpreting. Written in an innovative, accessible style with humorous touches and real-life case studies, this book is structured around the metaphor of playing and winning a computer game. It takes interpreters of all experience levels on a journey to better understand their own work, learn how computers attempt to interpret and explore possible futures for human interpreters. With five levels and split into 14 chapters, Interpreters vs Machines is key reading for all professional interpreters as well as students and researchers of Interpreting and Translation Studies, and those with an interest in machine interpreting.

Die 5. Osterreichische Artificial-Intelligence-Tagung setzt sich zusammen aus wissenschaftlichem Programm, Workshops und Tutorials. Der wissenschaftlich orientierte Teil des Tagungsprogramms umfasst sowohl eingeladene als auch begutachtete Vortrage zu den Themen Qualitatives Schliessen, Methodik Wissensbasierter Systeme und deren Anwendung, Logik/Deduktion, Naturlichsprachliche Systeme, Lernen und Kognition. Zum Informationsaustausch waren zusatzlich Workshops zur Weiterbildung vorgesehen. Besonders das Thema "Philosophie und KI" demonstrierte das allgemeine Interesse. Dies soll mit Beitragen dokumentiert werden, die einen Uberblick uber Beruhrungspunkte der KI mit philosophischen Stromungen bieten und auch den Einfluss der KI als Teil der Informatik auf das philosophische Weltbild verdeutlichen. Ebenfalls reprasentative Beitrage wurden zu den Workshops "Konnektionismus", "Qualitatives Schliessen" und "Begriffsbildung/-modellierung" ausgewahlt.

In der aktuellen Forschung wird zunehmend deutlich, dass fur "intelligente Systeme" die Fahigkeit, naturliche Sprachen zu verstehen, entscheidend ist und dass die theoretische Grundlegung eine wesentliche Voraussetzung fur das maschinelle Sprachverstehen darstellt. In dem Band werden vor allem die grammatikalischen und mathematischen Grundlagen der Sprachverstehenssysteme behandelt. Ausserdem werden auch kommunikationstheoretische und psycholinguistische Aspekte der Computersimulation angesprochen und die praktische Umsetzung theoretischer Resultate in Form von Grammatik-Werkzeugen. Das Buch soll die Aufmerksamkeit auf die theoretischen Aspekte der Computerlinguistik lenken und damit im deutschen Sprachraum eine Entwicklung fordern, die in der amerikanischen Wissenschaft schon vor einigen Jahren eingesetzt hat.

Dieser Band ist der Bericht von einer Tagung zum Thema Verarbeitung natA1/4rlicher Sprache am Computer. Er enthAlt Lang- und KurzbeitrAge fA1/4hrender Wissenschaftler aus dem deutschsprachigen Raum sowie aus den USA. Alle Teilbereiche der Sprachverarbeitung wie Morphologie, Parsing, semantische Analyse und Verarbeitung gesprochener Sprache werden abgedeckt. Das Ziel der Tagung war eine Darstellung des Themas, die die Verarbeitung der deutschen Sprache in den Mittelpunkt rA1/4ckt. So behandeln die BeitrAge einige speziell fA1/4r das Deutsche entwickelte Systeme, sowie Adaptierungen von fA1/4r das Englische bewAhrten Formalismen fA1/4r die Anwendung auf das Deutsche. Dadurch liefert dieses Buch zum ersten Mal eine kompakte Zusammenstellung der neuesten Forschungsergebnisse unter diesem speziellen Gesichtspunkt.

This series will include monographs and collections of studies devoted to the investigation and exploration of knowledge, information and data-processing systems of all kinds, no matter whether human, (other) animal or machine. Its scope is intended to span the full range of interests from classical problems in the philosophy of mind and phi losophical psychology through issues in cognitive psychology and socio biology (concerning the mental capabilities of other species) to ideas related to artificial intelligence and computer science. While primary emphasis will be placed upon theoretical, conceptual and epistemologi cal aspects of these problems and domains, empirical, experimental and methodological studies will also appear from time to time. Among the most challenging and difficult projects within the scope of artificial intelligence is the development and implementation of com puter programs suitable for processing natural language. Our purpose in compiling the present volume has been to contribute to the foundations of this enterprise by bringing together classic papers devoted to crucial problems involved in understanding natural language, which range from issues of formal syntax and logical form to those of possible-worlds and situation semantics. The book begins with a comprehensive introduc tion composed by Jack Kulas, the senior editor of this work, which pro vides a systematic orientation to this complex field, and ends with a selected bibliography intended to promote further research. If our efforts assist others in dealing with these problems, they will have been worthwhile. J. H. F."

Ever since Chomsky laid the framework for a mathematically formal theory of syntax, two classes of formal models have held wide appeal. The finite state model offered simplicity. At the opposite extreme numerous very powerful models, most notable transformational grammar, offered generality. As soon as this mathematical framework was laid, devastating arguments were given by Chomsky and others indicating that the finite state model was woefully inadequate for the syntax of natural language. In response, the completely general transformational grammar model was advanced as a suitable vehicle for capturing the description of natural language syntax. While transformational grammar seems likely to be adequate to the task, many researchers have advanced the argument that it is "too adequate. " A now classic result of Peters and Ritchie shows that the model of transformational grammar given in Chomsky's Aspects IJ is powerful indeed. So powerful as to allow it to describe any recursively enumerable set. In other words it can describe the syntax of any language that is describable by any algorithmic process whatsoever. This situation led many researchers to reasses the claim that natural languages are included in the class of transformational grammar languages. The conclu sion that many reached is that the claim is void of content, since, in their view, it says little more than that natural language syntax is doable algo rithmically and, in the framework of modern linguistics, psychology or neuroscience, that is axiomatic."

Originally published in 1992, when connectionist natural language processing (CNLP) was a new and burgeoning research area, this book represented a timely assessment of the state of the art in the field. It includes contributions from some of the best known researchers in CNLP and covers a wide range of topics. The book comprises four main sections dealing with connectionist approaches to semantics, syntax, the debate on representational adequacy, and connectionist models of psycholinguistic processes. The semantics and syntax sections deal with a variety of approaches to issues in these traditional linguistic domains, covering the spectrum from pure connectionist approaches to hybrid models employing a mixture of connectionist and classical AI techniques. The debate on the fundamental suitability of connectionist architectures for dealing with natural language processing is the focus of the section on representational adequacy. The chapters in this section represent a range of positions on the issue, from the view that connectionist models are intrinsically unsuitable for all but the associationistic aspects of natural language, to the other extreme which holds that the classical conception of representation can be dispensed with altogether. The final section of the book focuses on the application of connectionist models to the study of psycholinguistic processes. This section is perhaps the most varied, covering topics from speech perception and speech production, to attentional deficits in reading. An introduction is provided at the beginning of each section which highlights the main issues relating to the section topic and puts the constituent chapters into a wider context.

Humans do a great job of reading text, identifying key ideas, summarizing, making connections, and other tasks that require comprehension and context. Recent advances in deep learning make it possible for computer systems to achieve similar results. Deep Learning for Natural Language Processing teaches you to apply deep learning methods to natural language processing (NLP) to interpret and use text effectively. In this insightful book, NLP expert Stephan Raaijmakers distills his extensive knowledge of the latest state-of-the-art developments in this rapidly emerging field. Key features An overview of NLP and deep learning * Models for textual similarity * Deep memory-based NLP * Semantic role labeling * Sequential NLP Audience For those with intermediate Python skills and general knowledge of NLP. No hands-on experience with Keras or deep learning toolkits is required. About the technology Natural language processing is the science of teaching computers to interpret and process human language. Recently, NLP technology has leapfrogged to exciting new levels with the application of deep learning, a form of neural network-based machine learning Stephan Raaijmakers is a senior scientist at TNO and holds a PhD in machine learning and text analytics. He's the technical coordinator of two large European Union-funded research security-related projects. He's currently anticipating an endowed professorship in deep learning and NLP at a major Dutch university.

This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP). * Features contributions by the top researchers in the field, reflecting the work that is driving the discipline forward * Includes an introduction to the major theoretical issues in these fields, as well as the central engineering applications that the work has produced * Presents the major developments in an accessible way, explaining the close connection between scientific understanding of the computational properties of natural language and the creation of effective language technologies * Serves as an invaluable state-of-the-art reference source for computational linguists and software engineers developing NLP applications in industrial research and development labs of software companies

Sprachtechnologie in der Anwendung" wurde von Praktikern fur Praktiker geschrieben. Das Buch fuhrt ein in die Technologien zur Sprachverarbeitung und informiert uber den Stand der Technik von Sprachdialogsystemen. Es unterstutzt die Entscheidungsfindung und Vorbereitung bei der Einfuhrung eines Sprachportals, hilft bei der Auswahl der richtigen Systeme und der Vermeidung von Stolpersteinen.

Durch seine klare Sprache, die zahlreichen Praxisbeispiele und das ausfuhrliche Glossar schlagt das Buch eine Brucke zwischen Entscheidern und Technologen im Unternehmen. Es wendet sich sowohl an Manager, die uber die Einfuhrung von Sprachportalen entscheiden, als auch IT-Fachleute, die diese umsetzen. Betreiber von Sprachportalen unterstutzt es bei der Bewertung bestehender Anwendungen und gibt Hinweise zu deren Optimierung."

Edited in collaboration with FoLLI, the Association of Logic, Language and Information this book constitutes the refereed proceedings of the 28th Workshop on Logic, Language, Information and Computation, WoLLIC 2022, Iasi, Romania, in September 2022. The 25 full papers presented included with 8 extra abstracts, 5 invited talks and 3 tutorials were fully reviewed and selected from 46 submissions. The conference aims fostering interdisciplinary research in pure and applied logic.

This book constitutes the proceedings of the 16th International Conference on Theoretical Aspects of Software Engineering, TASE 2022, held in Cluj-Napoca, Romania, July 2022. The 21 full regular papers presented together with 5 short papers in this book were carefully reviewed and selected from 71 submissions. The topics of the papers covering various fields in software engineering and the latest developments in in formal and theoretical software engineering methods and techniques.

Automated Speaking Assessment: Using Language Technologies to Score Spontaneous Speech provides a thorough overview of state-of-the-art automated speech scoring technology as it is currently used at Educational Testing Service (ETS). Its main focus is related to the automated scoring of spontaneous speech elicited by TOEFL iBT Speaking section items, but other applications of speech scoring, such as for more predictable spoken responses or responses provided in a dialogic setting, are also discussed. The book begins with an in-depth overview of the nascent field of automated speech scoring-its history, applications, and challenges-followed by a discussion of psychometric considerations for automated speech scoring. The second and third parts discuss the integral main components of an automated speech scoring system as well as the different types of automatically generated measures extracted by the system features related to evaluate the speaking construct of communicative competence as measured defined by the TOEFL iBT Speaking assessment. Finally, the last part of the book touches on more recent developments, such as providing more detailed feedback on test takers' spoken responses using speech features and scoring of dialogic speech. It concludes with a discussion, summary, and outlook on future developments in this area. Written with minimal technical details for the benefit of non-experts, this book is an ideal resource for graduate students in courses on Language Testing and Assessment as well as teachers and researchers in applied linguistics.