《Multilingual Natural Language Processing Applications》是一本圖書，作者是Zitouni, Imed; Bikel, Daniel M.;
基本介紹
- 外文名：Multilingual Natural Language Processing Applications
- 作者：Zitouni, Imed; Bikel, Daniel M.;
- 出版時間：2012年5月
- 頁數：640 頁
- ISBN：9780137151448
- 定價：682.00 元
內容簡介
Multilingual Natural Language Processing Applications is the first comprehensive single-source guide to building robust and accurate multilingual NLP systems. Edited by two leading experts, it integrates cutting-edge advances with practical solutions drawn from extensive field experience. Part I introduces the core concepts and theoretical foundations of modern multilingual nat...(展開全部) Multilingual Natural Language Processing Applications is the first comprehensive single-source guide to building robust and accurate multilingual NLP systems. Edited by two leading experts, it integrates cutting-edge advances with practical solutions drawn from extensive field experience. Part I introduces the core concepts and theoretical foundations of modern multilingual natural language processing, presenting today,s best practices for understanding word and document structure, analyzing syntax, modeling language, recognizing entailment, and detecting redundancy. Part II thoroughly addresses the practical considerations associated with building real-world applications, including information extraction, machine translation, information retrieval/search, summarization, question answering, distillation, processing pipelines, and more. This book contains important new contributions from leading researchers at IBM, Google, Microsoft, Thomson Reuters, BBN, CMU, University of Edinburgh, University of Washington, University of North Texas, and others. Coverage includes Core NLP problems, and today,s best algorithms for attacking them * Processing the diverse morphologies present in the world,s languages * Uncovering syntactical structure, parsing semantics, using semantic role labeling, and scoring grammaticality * Recognizing inferences, subjectivity, and opinion polarity * Managing key algorithmic and design tradeoffs in real-world applications * Extracting information via mention detection, coreference resolution, and events * Building large-scale systems for machi
