Linguistic Fundamentals for Natural Language Processing : 100 Essentials from Morphology and Syntax / by Emily M. Bender
By: Bender, Emily M.,, autor
Material type:
E-bookSeries: (Synthesis Lectures on Human Language Technologies, 1947-4059).Publisher: Cham : Springer International Publishing, 2013Edition: 1st edition 2013.Description: 1 recurso en línea (XVII, 166 páginas).ISBN: 9783031021503.Subject: Lingüística computacional
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | QA76.9.N38 2013 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.01112958 |
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| QA76.9.N38 2010 EB Spoken Dialogue Systems | QA76.9.N38 2011 EB Methods for Mining and Summarizing Text Conversations | QA76.9.N38 2011 EB Linguistic Structure Prediction | QA76.9.N38 2013 EB Linguistic Fundamentals for Natural Language Processing : 100 Essentials from Morphology and Syntax | QA76.9.N38 2013 EB Semi-Supervised Learning and Domain Adaptation in Natural Language Processing | QA76.9 .N38 2014 EB Ontology-Based Interpretation of Natural Language | QA76.9 .N38 2015 EB Natural Language Processing for Social Media |
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.
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.
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