Multilingual Natural Language Processing Applications: From Theory to Practice

Description

Global organizations must quickly and cost-effectively analyze, translate, synthesize, and distill massive amount of text in multiple languages. The technology needed to automate this process – multilingual natural language processing (NLP)- is advancing rapidly. This is the first comprehensive, “one-stop-shop” guide to building robust and accurate multilingual NLP systems. Multilingual Natural Language Applicationscombines all the essential background and realistic, up-to-date guidance practitioners will need to succeed. Containing new contributions from leading researchers at IBM, Google, Stanford, CMU, Columbia, and ISI, it integrates cutting-edge advances with practical solutions drawn from extensive field experience. Part I focuses primarily on multilingual NLP’s core technologies, including technologies for understanding the structure of words and documents; analyzing syntax; modeling language; recognizing entailment, and detecting redundancy. Part II delves into the theoretical and practical considerations involved in using these technologies to construct real-world applications. It contains detailed chapters on information extraction, machine translation, information retrieval and search, summarization, question answering, distillation, and processing pipelines.

• Author: Daniel M. Bikel, Imed Zitouni
• Published: 2012
• ISBN-13: 9780137151448