Natural Language Processing & Speech Recognition/Synthesis, Data Processing

Multilingual Natural Language Processing Applications: From Theory to Practice

Name: Multilingual Natural Language Processing Applications: From Theory to Practice
Author: Daniel Bikel
ISBN: 9780137151448

by Daniel Bikel, Imed Zitouni

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Overview

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 Applications combines 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.

About the Author, Daniel Bikel

Daniel M. Bikel is a Senior Research Scientist at Google. From 1994 to 1997, he worked at BBN on several natural language processing problems, including development of the first high-accuracy stochastic name-finder, for which he holds a patent. From 2004 through 2010, he was a Research Staff Member at IBM Research, working on wide variety of NLP problems, including parsing, semantic role labeling, information extraction, machine translation and question answering. Dr. Bikel has been a reviewer for the Computational Linguistics journal, and has been on the program committees of the ACL, NAACL, EACL and EMNLP conferences. He has built software tools that have seen widespread use in the NLP community. Since 2010, Dr. Bikel has been doing NLP and speech processing research at Google. Imed Zitouni is a senior researcher working for IBM since 2004. Before joining IBM, he was a principal scientist at a startup company DIALOCA in 1999-2000. He then joined Bell-Laboratories Lucent-Alcatel between 2000 and 2004 as a research staff member. His research interests include natural language processing, language modeling, spoken dialogue systems, speech recognition and machine learning. Dr. Zitouni is a member of the IEEE Speech and Language Technical Committee in 2009-11. He is a senior member of IEEE, member of ISCA and ACL. He served in the program committee and as a chair in several peer review conferences and journals. He holds several patents in the field.