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Author: Noah A. Smith
Publisher: Springer Nature
ISBN: 3031021436
Category : Computers
Languages : en
Pages : 248
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Book Description
A major part of natural language processing now depends on the use of text data to build linguistic analyzers. We consider statistical, computational approaches to modeling linguistic structure. We seek to unify across many approaches and many kinds of linguistic structures. Assuming a basic understanding of natural language processing and/or machine learning, we seek to bridge the gap between the two fields. Approaches to decoding (i.e., carrying out linguistic structure prediction) and supervised and unsupervised learning of models that predict discrete structures as outputs are the focus. We also survey natural language processing problems to which these methods are being applied, and we address related topics in probabilistic inference, optimization, and experimental methodology. Table of Contents: Representations and Linguistic Data / Decoding: Making Predictions / Learning Structure from Annotated Data / Learning Structure from Incomplete Data / Beyond Decoding: Inference
Author: Noah A. Smith
Publisher: Springer Nature
ISBN: 3031021436
Category : Computers
Languages : en
Pages : 248
Get Book Here
Book Description
A major part of natural language processing now depends on the use of text data to build linguistic analyzers. We consider statistical, computational approaches to modeling linguistic structure. We seek to unify across many approaches and many kinds of linguistic structures. Assuming a basic understanding of natural language processing and/or machine learning, we seek to bridge the gap between the two fields. Approaches to decoding (i.e., carrying out linguistic structure prediction) and supervised and unsupervised learning of models that predict discrete structures as outputs are the focus. We also survey natural language processing problems to which these methods are being applied, and we address related topics in probabilistic inference, optimization, and experimental methodology. Table of Contents: Representations and Linguistic Data / Decoding: Making Predictions / Learning Structure from Annotated Data / Learning Structure from Incomplete Data / Beyond Decoding: Inference
Author: Alexander Haselow
Publisher: John Benjamins Publishing Company
ISBN: 9027260605
Category : Language Arts & Disciplines
Languages : en
Pages : 368
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Book Description
This volume brings together linguistic, psychological and neurological research in a discussion of the Cognitive Dualism Hypothesis, whose central idea is that human cognitive activity in general and linguistic cognition in particular cannot reasonably be reduced to a single, monolithic system of mental processing, but that they have a dualistic organization. Drawing on a wide range of methodological approaches and theoretical frameworks that account for how language users mentally represent, process and produce linguistic discourse, the studies in this volume provide a critical examination of dualistic approaches to language and cognition and their impact on a number of fields. The topics range from formulaic language, the study of reasoning and linguistic discourse, and the lexicon–grammar distinction to studies of specific linguistic expressions and structures such as pragmatic markers and particles, comment adverbs, extra-clausal elements in spoken discourse and the processing of syntactic groups.
Author: Dan Jurafsky
Publisher: Pearson Education India
ISBN: 9788131716724
Category :
Languages : en
Pages : 912
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Book Description
Author: G.N. Carlson
Publisher: Springer Science & Business Media
ISBN: 9400927290
Category : Language Arts & Disciplines
Languages : en
Pages : 418
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Book Description
The papers in this volume are intended to exemplify the state of experimental psycho linguistics in the middle to later 1980s. Our over riding impression is that the field has come a long way since the earlier work of the 1950s and 1960s, and that the field has emerged with a renewed strength from a difficult period in the 1970s. Not only are the theoretical issues more sharply defined and integrated with existing issues from other domains ("modularity" being one such example), but the experimental techniques employed are much more sophisticated, thanks to the work of numerous psychologists not necessarily interested in psycholinguistics, and thanks to improving technologies unavailable a few years ago (for instance, eye-trackers). We selected papers that provide a coherent, overall picture of existing techniques and issues. The volume is organized much as one might organize an introductory linguistics course - beginning with sound and working "up" to mean ing. Indeed, the first paper, Rebecca Treiman's, begins with considera tion of syllable structure, a phonological consideration, and the last, Alan Garnham's, exemplifies some work on the interpretation of pro nouns, a semantic matter. In between are found works concentrating on morphemes, lexical structures, and syntax. The cross-section represented in this volume is by necessity incom plete, since we focus only on experimental work directed at under standing how adults comprehend and produce language. We do not include any works on language acquisition, first or second.
Author: Emily M. Bender
Publisher: Springer Nature
ISBN: 303102172X
Category : Computers
Languages : en
Pages : 250
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Book Description
Meaning is a fundamental concept in Natural Language Processing (NLP), in the tasks of both Natural Language Understanding (NLU) and Natural Language Generation (NLG). This is because the aims of these fields are to build systems that understand what people mean when they speak or write, and that can produce linguistic strings that successfully express to people the intended content. In order for NLP to scale beyond partial, task-specific solutions, researchers in these fields must be informed by what is known about how humans use language to express and understand communicative intents. The purpose of this book is to present a selection of useful information about semantics and pragmatics, as understood in linguistics, in a way that's accessible to and useful for NLP practitioners with minimal (or even no) prior training in linguistics.
Author: Emily M. Bender
Publisher: Springer Nature
ISBN: 3031021509
Category : Computers
Languages : en
Pages : 166
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Book Description
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
Author: Morten H. Christiansen
Publisher: MIT Press
ISBN: 026203431X
Category : Language Arts & Disciplines
Languages : en
Pages : 345
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Book Description
A work that reveals the profound links between the evolution, acquisition, and processing of language, and proposes a new integrative framework for the language sciences. Language is a hallmark of the human species; the flexibility and unbounded expressivity of our linguistic abilities is unique in the biological world. In this book, Morten Christiansen and Nick Chater argue that to understand this astonishing phenomenon, we must consider how language is created: moment by moment, in the generation and understanding of individual utterances; year by year, as new language learners acquire language skills; and generation by generation, as languages change, split, and fuse through the processes of cultural evolution. Christiansen and Chater propose a revolutionary new framework for understanding the evolution, acquisition, and processing of language, offering an integrated theory of how language creation is intertwined across these multiple timescales. Christiansen and Chater argue that mainstream generative approaches to language do not provide compelling accounts of language evolution, acquisition, and processing. Their own account draws on important developments from across the language sciences, including statistical natural language processing, learnability theory, computational modeling, and psycholinguistic experiments with children and adults. Christiansen and Chater also consider some of the major implications of their theoretical approach for our understanding of how language works, offering alternative accounts of specific aspects of language, including the structure of the vocabulary, the importance of experience in language processing, and the nature of recursive linguistic structure.
Author: Noam Chomsky
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3112316002
Category : Language Arts & Disciplines
Languages : en
Pages : 120
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Book Description
No detailed description available for "Syntactic Structures".
Author: Steven Bird
Publisher: "O'Reilly Media, Inc."
ISBN: 0596555717
Category : Computers
Languages : en
Pages : 506
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Book Description
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.
Author: Jonathan Dunn
Publisher: Cambridge University Press
ISBN: 1009083740
Category : Language Arts & Disciplines
Languages : en
Pages : 149
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Book Description
Corpus analysis can be expanded and scaled up by incorporating computational methods from natural language processing. This Element shows how text classification and text similarity models can extend our ability to undertake corpus linguistics across very large corpora. These computational methods are becoming increasingly important as corpora grow too large for more traditional types of linguistic analysis. We draw on five case studies to show how and why to use computational methods, ranging from usage-based grammar to authorship analysis to using social media for corpus-based sociolinguistics. Each section is accompanied by an interactive code notebook that shows how to implement the analysis in Python. A stand-alone Python package is also available to help readers use these methods with their own data. Because large-scale analysis introduces new ethical problems, this Element pairs each new methodology with a discussion of potential ethical implications.
