| 书目名称 | The Design of Interpreters, Compilers, and Editors for Augmented Transition Networks | | 编辑 | Leonard Bloc | | 视频video | | | 丛书名称 | Symbolic Computation | | 图书封面 |  | | 描述 | Augmented Transition Network Grammars are at present the most widely used method for analyzing natural languages. Despite the increasing po pularity of this method, however, no extensive papers on ATN-Grammars have been presented which would be accessible to a larger number of per sons engaged in the problem from both the theoretical and practical points of view. Augmented Transition Networks (ATN) are derived from state automata. Like a finite state automaton, an ATN consists of a collection of la beled states and arcs, a distinguished start state and a set of distin guished final states. States are connected with each other by arcs crea ting a directed graph or net. The label on an arc indicates a terminal symbol (word) or the type of words which must occur in an input stream to allow the transition to the next state. It is said that a sequence of words (or sentence) is accepted by such a net if there exists a se quence of arcs (usually called a path), connecting the start state with a final state, which can be followed to the sentence. The finite state automaton is then enriched by several facilities which increase its computational power. The most important of them permit | | 出版日期 | Book 1983 | | 关键词 | Artificial Intelligence; Design; Erweitertes Übergangsnetzwerk; N-Gramm; Natural; Networks; Symbol; compile | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-82122-6 | | isbn_softcover | 978-3-642-82124-0 | | isbn_ebook | 978-3-642-82122-6 | | copyright | Springer-Verlag Berlin Heidelberg 1983 |
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