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In 1992 it seemed very difficult to answer the question whether it would be possible to develop a portable system for the automatic recognition and translation of spon taneous speech. Previous research work on speech processing had focused on read speech only and international projects aimed at automated text translation had just been terminated without achieving their objectives. Within this context, the German Federal Ministry of Education and Research (BMBF) made a careful analysis of all national and international research projects conducted in the field of speech and language technology before deciding to launch an eight-year basic-research lead project in which research groups were to cooperate in an interdisciplinary and international effort covering the disciplines of computer science, computational linguistics, translation science, signal processing, communi cation science and artificial intelligence. At some point, the project comprised up to 135 work packages with up to 33 research groups working on these packages. The project was controlled by means of a network plan. Every two years the project sit uation was assessed and the project goals were updated. An international scientific advisory board provided advice for BMBF. A new scientific approach was chosen for this project: coping with the com plexity of spontaneous speech with all its pertinent phenomena such as ambiguities, self-corrections, hesitations and disfluencies took precedence over the intended lex icon size. Another important aspect was that prosodic information was exploited at all processing stages.
This book describes a complete translation system for spontaneously spoken language, constructed using the incremental paradigm. It starts by presenting the theoretical and algorithmic basis necessary to cope with the complex endeavour of translating speech incrementally and in parallel. In particular, graph-theoretic foundations of natural language processing and feature-based descriptions of linguistic objects are covered. A thorough description of the system and its performance follows. The author covers syntactic and semantic processing as well as transfer and syntactic generation. Thus the book can also be used as a broad-coverage introduction to the field of speech translation. This book is essential reading for researchers and students working in the field of speech translation. It is also intended as a research tool for those interested in the architecture of general natural language processing systems.
It is generally agreed that knowledge plays an important role in translation and interpreting and that it should therefore be of central concern to translation and interpreting studies. However, there is no general agreement about what is actually meant by the term 'knowledge' in this context, nor about in exactly what ways it is relevant. Also, present-day translation and interpreting studies offer only a limited amount of research specifically dedicated to knowledge systematization and other knowledge-related issues. This book is one of the first to systematically and exclusively address the question of knowledge in translation and interpreting. It is a collection of papers by leading scholars both from the field of translation and interpreting and from adjacent fields where knowledge also plays an important role, such as linguistics and computer science. The experts present a wide variety of conceptions of knowledge and a number of different approaches to the study of knowledge in translation and interpreting: some of them draw on concepts such as scenes and frames, mental spaces and semantic networks, some discuss knowledge systems from an ontological point of view, and some present more general concepts of knowledge in translation and interpreting. Along the same lines, some of the contributors deal mainly with theoretical and conceptual aspects, others focus on methodological issues, and again others report on empirical studies. What brings them together, however, is their common focus on the interface between knowledge and translation/interpreting, and their main achievement is that, by joining forces, they manage to present to their readers a state-of-the-art report which offers both a clearer delimitation of the concept of knowledge and a better understanding of its role in translation and interpreting.
The Verbmobil System currently under development in Germany would input speech in a source language dialogue, translate it, and output synthesized speech in a target language, all in real time under the conditions of face-to-face dialogue. This preliminary study is an assessment of the state of the art of the speech recognition and machine translation fields, and a frank discussion of the challenges the developers of such a system face. A speech-based machine translation system in effect combines all the technical problems of understanding and generation systems and adds the very special difficulties of translation. The difficulties of translation are illustrated with a variety of examples culled from a number of languages. A general architecture called translation-by-negotiation is proposed. This book is of value not only to students of speech recognition and machine translation, but to anyone interested in natural language processing in general, since computational problems and linguistic approaches at various levels of linguistics and analysis are discussed.
This book provides the readers with retrospective and prospective views with detailed explanations of component technologies, speech recognition, language translation and speech synthesis. Speech-to-speech translation system (S2S) enables to break language barriers, i.e., communicate each other between any pair of person on the glove, which is one of extreme dreams of humankind. People, society, and economy connected by S2S will demonstrate explosive growth without exception. In 1986, Japan initiated basic research of S2S, then the idea spread world-wide and were explored deeply by researchers during three decades. Now, we see S2S application on smartphone/tablet around the world. Computational resources such as processors, memories, wireless communication accelerate this computation-intensive systems and accumulation of digital data of speech and language encourage recent approaches based on machine learning. Through field experiments after long research in laboratories, S2S systems are being well-developed and now ready to utilized in daily life. Unique chapter of this book is end-2-end evaluation by comparing system’s performance and human competence. The effectiveness of the system would be understood by the score of this evaluation. The book will end with one of the next focus of S2S will be technology of simultaneous interpretation for lecture, broadcast news and so on.
This book gives an overview of the research and application of speech technologies in different areas. One of the special characteristics of the book is that the authors take a broad view of the multiple research areas and take the multidisciplinary approach to the topics. One of the goals in this book is to emphasize the application. User experience, human factors and usability issues are the focus in this book.
Natural Language Processing (NLP) is a scientific discipline which is found at the intersection of fields such as Artificial Intelligence, Linguistics, and Cognitive Psychology. This book presents in four chapters the state of the art and fundamental concepts of key NLP areas. Are presented in the first chapter the fundamental concepts in lexical semantics, lexical databases, knowledge representation paradigms, and ontologies. The second chapter is about combinatorial and formal semantics. Discourse and text representation as well as automatic discourse segmentation and interpretation, and anaphora resolution are the subject of the third chapter. Finally, in the fourth chapter, I will cover some aspects of large scale applications of NLP such as software architecture and their relations to cognitive models of NLP as well as the evaluation paradigms of NLP software. Furthermore, I will present in this chapter the main NLP applications such as Machine Translation (MT), Information Retrieval (IR), as well as Big Data and Information Extraction such as event extraction, sentiment analysis and opinion mining.
Discover vital research on the lexical and cognitive meanings of words. In this exciting book from a team of world-class researchers, in-depth articles explain a wide range of topics, including thematic roles, sense relation, ambiguity and comparison. The authors focus on the cognitive and conceptual structure of words and their meaning extensions such as coercion, metaphors and metonymies. The book features highly cited material – available in paperback for the first time since its publication – and is an essential starting point for anyone interested in lexical semantics, especially where it meets other cognitive and conceptual research.
This volume and its companion volume LNAI 4441 constitute a state-of-the-art survey in the field of speaker classification. Together they address such intriguing issues as how speaker characteristics are manifested in voice and speaking behavior. The nineteen contributions in this volume are organized into topical sections covering fundamentals, characteristics, applications, methods, and evaluation.