| 书目名称 | Coarse-to-Fine Natural Language Processing |
| 编辑 | Slav Petrov |
| 视频video | |
| 概述 | Foreword written by Eugene Charniak.This book describes a particular approach to natural language processing and its applications to several tasks.Many applications are presented.Includes supplementar |
| 丛书名称 | Theory and Applications of Natural Language Processing |
| 图书封面 |  |
| 描述 | .The impact of computer systems that can understand natural language will be tremendous. To develop this capability we need to be able to automatically and efficiently analyze large amounts of text. Manually devised rules are not sufficient to provide coverage to handle the complex structure of natural language, necessitating systems that can automatically learn from examples. To handle the flexibility of natural language, it has become standard practice to use statistical models, which assign probabilities for example to the different meanings of a word or the plausibility of grammatical constructions..This book develops a general coarse-to-fine framework for learning and inference in large statistical models for natural language processing..Coarse-to-fine approaches exploit a sequence of models which introduce complexity gradually. At the top of the sequence is a trivial model in which learning and inference are both cheap. Each subsequent model refines the previous one, until a final, full-complexity model is reached. Applications of this framework to syntactic parsing, speech recognition and machine translation are presented, demonstrating the effectiveness of the approach in t |
| 出版日期 | Book 2012 |
| 关键词 | 68T50; Computational Linguistics; Machine Learning; Natural Language Processing |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-642-22743-1 |
| isbn_softcover | 978-3-642-42749-7 |
| isbn_ebook | 978-3-642-22743-1Series ISSN 2192-032X Series E-ISSN 2192-0338 |
| issn_series | 2192-032X |
| copyright | Springer-Verlag Berlin Heidelberg 2012 |
发表于 2025-3-21 18:26:59
