Two members of IBM Research have joined together to compile and edit a 600+ page book. Daniel Bikel and Imed Zitouni are co-editors of Multilingual Natural Language Processing Applications: From Theory to Practice.
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.
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 machine translation, information retrieval, and summarization
- Answering complex questions through distillation and other advanced techniques
- Creating dialog systems that leverage advances in speech recognition, synthesis, and dialog management
- Constructing common infrastructure for multiple multilingual text processing applications
This book will be invaluable for all engineers, software developers, researchers, and graduate students who want to process large quantities of text in multiple languages, in any environment: government, corporate, or academic.
If this is for you – Save 35% and free shipping in the US with coupon code:IBM1448 and purchase the book here.