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Conception du dialogue et de la phrase. Structure de l'interface. Langage d'écriture de l'interface : le lattex. Exemples d'interfaces
Le but de cet ouvrage est de faire le point sur la communication homme-machine, en se plaçant dans le champ pluridisciplinaire des sciences cognitives, et en insistant plus particulièrement sur les rôles respectifs de l'informatique et de la psychologie cognitive. Les problèmes de fond posés par l'utilisation de la langue par un humain qui communique avec une machine sont mis en lumière, et les auteurs ont donné une nette priorité aux aspects de communication par rapport aux approches théoriques de la linguistique.
Most dialogues are multimodal. When people talk, they use not only their voices, but also facial expressions and other gestures, and perhaps even touch. When computers communicate with people, they use pictures and perhaps sounds, together with textual language, and when people communicate with computers, they are likely to use mouse gestures almost as much as words. How are such multimodal dialogues constructed? This is the main question addressed in this selection of papers of the second Venaco Workshop, sponsored by the NATO Research Study Group RSG-10 on Automatic Speech Processing, and by the European Speech Communication Association (ESCA).
Speech processing addresses various scientific and technological areas. It includes speech analysis and variable rate coding, in order to store or transmit speech. It also covers speech synthesis, especially from text, speech recognition, including speaker and language identification, and spoken language understanding. This book covers the following topics: how to realize speech production and perception systems, how to synthesize and understand speech using state-of-the-art methods in signal processing, pattern recognition, stochastic modelling computational linguistics and human factor studies.
In the last decade, AI firmly settled into our industrial society with the expert systems as the representative product. However, almost every one of the systems could cover only a single task domain. In the highly mechanized world of the 21st century, systems will become smart and user friendly enough to cover a wide range of task domains. Systems with much user friendliness must be multilingual because users in different domains usually have different languages. Language is formed in its own culture. Therefore, promotion for cross-cultural scientific interchange will be indispensable for the progress of AI.
(Peeters 1986)