Natural Language Syntax

Many NLP tasks have at their core a subtask of extracting the dependencies—who did what to whom—from natural language sentences. This task can be understood as the inverse of the problem solved in different ways by diverse human languages, namely, how to indicate the relationship between different parts of a sentence. Understanding how languages solve the problem can be extremely useful in both feature design and error analysis in the application of machine learning to NLP. Likewise, understanding cross-linguistic variation can be important for the design of MT systems and other multilingual applications. The purpose of this book is to present in a succinct and accessible fashion information about the morphological and syntactic structure of human languages that can be useful in creating more linguistically sophisticated, more language-independent, and thus more successful NLP systems. Table of Contents: Acknowledgments / Introduction/motivation / Morphology: Introduction / Morphophonology / Morphosyntax / Syntax: Introduction / Parts of speech / Heads, arguments, and adjuncts / Argument types and grammatical functions / Mismatches between syntactic position and semantic roles / Resources / Bibliography / Author's Biography / General Index / Index of Languages

This book introduces the analysis of natural language within the broader question of how language works - of how people use languages to configure words and morphemes in order to express meanings. Its step-by-step account covers every aspect of syntax and includes exercises and suggestions for further reading throughout.

An exploration of human language from the perspective of the natural sciences, this outstanding book brings together leading specialists to discuss the scientific connection of language to disciplines such as mathematics, physics, chemistry and biology.

Natural language processing (NLP) is a scientific discipline which is found at the interface of computer science, artificial intelligence and cognitive psychology. Providing an overview of international work in this interdisciplinary field, this book gives the reader a panoramic view of both early and current research in NLP. Carefully chosen multilingual examples present the state of the art of a mature field which is in a constant state of evolution. In four chapters, this book presents the fundamental concepts of phonetics and phonology and the two most important applications in the field of speech processing: recognition and synthesis. Also presented are the fundamental concepts of corpus linguistics and the basic concepts of morphology and its NLP applications such as stemming and part of speech tagging. The fundamental notions and the most important syntactic theories are presented, as well as the different approaches to syntactic parsing with reference to cognitive models, algorithms and computer applications.

A proposal that the syntactic structure of a sentence reporting a concrete episode in the world can be interpreted as a description of the sensorimotor processes involved in experiencing that episode. How is the information we gather from the world through our sensory and motor apparatus converted into language? It is obvious that there is an interface between language and sensorimotor cognition because we can talk about what we see and do. In this book, Alistair Knott argues that this interface is more direct than commonly assumed. He proposes that the syntax of a concrete sentence—a sentence that reports a direct sensorimotor experience—closely reflects the sensorimotor processes involved in the experience. In fact, he argues, the syntax of the sentence can be interpreted as a description of these sensorimotor processes. Knott focuses on a simple concrete episode: a man grabbing a cup. He presents detailed models of the sensorimotor processes involved in experiencing this episode (drawing on research in psychology and neuroscience) and of the syntactic structure of the transitive sentence reporting the episode (drawing on Chomskyan Minimalist syntactic theory). He proposes that these two independently motivated models are closely linked—that the logical form of the sentence can be given a detailed sensorimotor characterization and that, more generally, many of the syntactic principles understood in Minimalism as encoding innate linguistic knowledge are actually sensorimotor in origin. Knott's sensorimotor reinterpretation of Chomsky opens the way for a psychological account of sentence processing that is compatible with a Chomskyan account of syntactic universals, suggesting a way to reconcile Chomsky's theory of syntax with the empiricist models of language often viewed as Mimimalism's competitors.

Natural language processing (NLP) is a scientific discipline which is found at the interface of computer science, artificial intelligence and cognitive psychology. Providing an overview of international work in this interdisciplinary field, this book gives the reader a panoramic view of both early and current research in NLP. Carefully chosen multilingual examples present the state of the art of a mature field which is in a constant state of evolution. In four chapters, this book presents the fundamental concepts of phonetics and phonology and the two most important applications in the field of speech processing: recognition and synthesis. Also presented are the fundamental concepts of corpus linguistics and the basic concepts of morphology and its NLP applications such as stemming and part of speech tagging. The fundamental notions and the most important syntactic theories are presented, as well as the different approaches to syntactic parsing with reference to cognitive models, algorithms and computer applications.

This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication. Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify "named entities" Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.

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