Part II. In Practice

Chapter 8, “Entity Detection and Tracking,” discusses methods for determining whether types of real-world entities, such as people, organizations, and locations, are mentioned in text, what the boundaries of those referring expressions are, and methods for determining when those entity mentions corefer.

Chapter 9, “Relations and Events,” focuses on extracting from a corpus of text relevant entities, their relevant properties, and the relationships among them, then storing the information in a structured way.

Chapter 10, “Machine Translation,” describes methods for automatically translating from one human language to another.

Chapter 11, “Multilingual Information Retrieval,” explores the problem of retrieving documents, or ...

Get Multilingual Natural Language Processing Applications: From Theory to Practice now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.