| 書目名稱 | Efficient Parsing for Natural Language | | 副標題 | A Fast Algorithm for | | 編輯 | Masaru Tomita | | 視頻video | http://file.papertrans.cn/303/302993/302993.mp4 | | 叢書名稱 | The Springer International Series in Engineering and Computer Science | | 圖書封面 |  | | 描述 | Parsing Efficiency is crucial when building practical natural language systems. ‘Ibis is especially the case for interactive systems such as natural language database access, interfaces to expert systems and interactive machine translation. Despite its importance, parsing efficiency has received little attention in the area of natural language processing. In the areas of compiler design and theoretical computer science, on the other hand, parsing algorithms 3 have been evaluated primarily in terms of the theoretical worst case analysis (e.g. lXn?, and very few practical comparisons have been made. This book introduces a context-free parsing algorithm that parses natural language more efficiently than any other existing parsing algorithms in practice. Its feasibility for use in practical systems is being proven in its application to Japanese language interface at Carnegie Group Inc., and to the continuous speech recognition project at Carnegie-Mellon University. This work was done while I was pursuing a Ph.D degree at Carnegie-Mellon University. My advisers, Herb Simon and Jaime Carbonell, deserve many thanks for their unfailing support, advice and encouragement during my graduate s | | 出版日期 | Book 1986 | | 關鍵詞 | Parsing; algorithms; cognition; expert system; grammar; machine translation; natural language; natural lang | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4757-1885-0 | | isbn_softcover | 978-1-4419-5198-4 | | isbn_ebook | 978-1-4757-1885-0Series ISSN 0893-3405 | | issn_series | 0893-3405 | | copyright | Springer Science+Business Media New York 1986 |
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