Multilingual Natural Language Processing Applications: From Theory to Practice
by Daniel Bikel, Imed Zitouni
Part I. In Theory
Chapter 1, “Finding the Structure of Words,” describes how to identify distinct types of words in human languages and how the internal structure of words can be modeled in connection with grammatical properties and lexical concepts.
Chapter 2, “Finding the Structure of Documents,” discusses how to find the structure of documents, breaking them down into more manageable units, such as sentences and pieces of text grouped by topic.
Chapter 3, “Syntax,” describes how to find the structure of sentences.
Chapter 4, “Semantic Parsing,” explores automatic methods for finding meaning representations for sentences.
Chapter 5, “Language Modeling,” discusses the problem of building a model that assigns a probability estimate or score for ...
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