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  • Broschiertes Buch

Natural Language based systems have the reputations of high development cost and low quality. Our goal in this book is to show that the most important factor in building NL based systems is the selection of the right methodologies for the development, regardless of the target language in terms resources richness, or type or complexity of the domain, or even cleanliness of the input text. If this is approach is combined with treating a NLP project as an engineering problem, and not only as a traditional linguistic problem, it is almost guaranteed to produce a system with industrial quality and…mehr

Produktbeschreibung
Natural Language based systems have the reputations of high development cost and low quality. Our goal in this book is to show that the most important factor in building NL based systems is the selection of the right methodologies for the development, regardless of the target language in terms resources richness, or type or complexity of the domain, or even cleanliness of the input text. If this is approach is combined with treating a NLP project as an engineering problem, and not only as a traditional linguistic problem, it is almost guaranteed to produce a system with industrial quality and high extensibility, with the minimum resources possible.The text offers a unique blend of well-established principles and practices of developing NL based systems. It will make very interesting reading for all those who are interested in building user-oriented online applications and services based on content processing of spontaneous task-oriented messages and texts written in natural language, and more specifically in some sublanguage that can be characterized by an appropriate corpus study.
Autorenporträt
Daoud M. Daoud, PhD: Studied Computer Science at Joseph Fourier University. Currently an assistant professor at Computer Science department, Princess Sumaya University for Technology, Amman, Jordan. He has been involved in different Natural Language processing research projects in Jordan, France and Japan.