This book covers topics in formal linguistics, intonational phonology, computational linguistics, and experimental psycholinguistics, presenting them as an integrated theory of the language faculty. In this book Mark Steedman argues that the surface syntax of natural languages maps spoken and written forms directly to a compositional semantic representation that includes predicate-argument structure, quantification, and information structure without constructing any intervening structural representation. His purpose is to construct a principled theory of natural grammar that is directly compatible with both explanatory linguistic accounts of a number of problematic syntactic phenomena and a straightforward computational account of the way sentences are mapped onto representations of meaning. The radical nature of Steedman's proposal stems from his claim that much of the apparent complexity of syntax, prosody, and processing follows from the lexical specification of the grammar and from the involvement of a small number of universal rule-types for combining predicates and arguments. These syntactic operations are related to the combinators of Combinatory Logic, engendering a much freer definition of derivational constituency than is traditionally assumed. This property allows Combinatory Categorial Grammar to capture elegantly the structure and interpretation of coordination and intonation contour in English as well as some well-known interactions between word order, coordination, and relativization across a number of other languages. It also allows more direct compatibility with incremental semantic interpretation during parsing. The book covers topics in formal linguistics, intonational phonology, computational linguistics, and experimental psycholinguistics, presenting them as an integrated theory of the language faculty in a form accessible to readers from any of those fields.

An Introduction to Syntactic Analysis and Theory offers beginning students a comprehensive overview of and introduction to our current understanding of the rules and principles that govern the syntax of natural languages. Includes numerous pedagogical features such as 'practice' boxes and sidebars, designed to facilitate understanding of both the 'hows' and the 'whys' of sentence structure Guides readers through syntactic and morphological structures in a progressive manner Takes the mystery out of one of the most crucial aspects of the workings of language – the principles and processes behind the structure of sentences Ideal for students with minimal knowledge of current syntactic research, it progresses in theoretical difficulty from basic ideas and theories to more complex and advanced, up to date concepts in syntactic theory

Highly readable and eminently practical, Syntactic Analysis: The Basics focuses on bringing students with little background in linguistics up to speed on how modern syntactic analysis works. A succinct and practical introduction to understanding sentence structure, ideal for students who need to get up to speed on key concepts in the field Introduces readers to the central terms and concepts in syntax Offers a hands-on approach to understanding and performing syntactic analysis and introduces students to linguistic argumentation Includes numerous problem sets, helpfully graded for difficulty, with model answers provided at critical points Prepares readers for more advanced work with syntactic systems and syntactic analyses

No detailed description available for "Syntactic Structures".

This volume deals with research on the processing of a native language, second language learning, bilingualism, typical and impaired syntax processing. The articles presented here cover a number of linguistic phenomena, including passives, temporal concord, object pronouns, reflexives, embedded sentences, relative clauses, wh-movement, and binding theory. They also apply various experimental methods, such as eye tracking, reaction times, event-related potentials, picture selection tasks, sentence elicitation, pupillometry, and picture matching tasks. As such, this book details a number of the most representative methods used in language processing.

Leverage the power of machine learning and deep learning to extract information from text data About This Book Implement Machine Learning and Deep Learning techniques for efficient natural language processing Get started with NLTK and implement NLP in your applications with ease Understand and interpret human languages with the power of text analysis via Python Who This Book Is For This book is intended for Python developers who wish to start with natural language processing and want to make their applications smarter by implementing NLP in them. What You Will Learn Focus on Python programming paradigms, which are used to develop NLP applications Understand corpus analysis and different types of data attribute. Learn NLP using Python libraries such as NLTK, Polyglot, SpaCy, Standford CoreNLP and so on Learn about Features Extraction and Feature selection as part of Features Engineering. Explore the advantages of vectorization in Deep Learning. Get a better understanding of the architecture of a rule-based system. Optimize and fine-tune Supervised and Unsupervised Machine Learning algorithms for NLP problems. Identify Deep Learning techniques for Natural Language Processing and Natural Language Generation problems. In Detail This book starts off by laying the foundation for Natural Language Processing and why Python is one of the best options to build an NLP-based expert system with advantages such as Community support, availability of frameworks and so on. Later it gives you a better understanding of available free forms of corpus and different types of dataset. After this, you will know how to choose a dataset for natural language processing applications and find the right NLP techniques to process sentences in datasets and understand their structure. You will also learn how to tokenize different parts of sentences and ways to analyze them. During the course of the book, you will explore the semantic as well as syntactic analysis of text. You will understand how to solve various ambiguities in processing human language and will come across various scenarios while performing text analysis. You will learn the very basics of getting the environment ready for natural language processing, move on to the initial setup, and then quickly understand sentences and language parts. You will learn the power of Machine Learning and Deep Learning to extract information from text data. By the end of the book, you will have a clear understanding of natural language processing and will have worked on multiple examples that implement NLP in the real world. Style and approach This book teaches the readers various aspects of natural language Processing using NLTK. It takes the reader from the basic to advance level in a smooth way.

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

Interdisciplinary perspectives on the evolutionary and biological roots of syntax, describing current research on syntax in fields ranging from linguistics to neurology. Syntax is arguably the most human-specific aspect of language. Despite the proto-linguistic capacities of some animals, syntax appears to be the last major evolutionary transition in humans that has some genetic basis. Yet what are the elements to a scenario that can explain such a transition? In this book, experts from linguistics, neurology and neurobiology, cognitive psychology, ecology and evolutionary biology, and computer modeling address this question. Unlike most previous work on the evolution of language, Biological Foundations and Origin of Syntax follows through on a growing consensus among researchers that language can be profitably separated into a number of related and interacting but largely autonomous functions, each of which may have a distinguishable evolutionary history and neurological base. The contributors argue that syntax is such a function.The book describes the current state of research on syntax in different fields, with special emphasis on areas in which the findings of particular disciplines might shed light on problems faced by other disciplines. It defines areas where consensus has been established with regard to the nature, infrastructure, and evolution of the syntax of natural languages; summarizes and evaluates contrasting approaches in areas that remain controversial; and suggests lines for future research to resolve at least some of these disputed issues. Contributors Andrea Baronchelli, Derek Bickerton, Dorothy V. M. Bishop, Denis Bouchard, Robert Boyd, Jens Brauer, Ted Briscoe, David Caplan, Nick Chater, Morten H. Christiansen, Terrence W.Deacon, Francesco d'Errico, Anna Fedor, Julia Fischer, Angela D. Friederici, Tom Givón, Thomas Griffiths, Balázs Gulyás, Peter Hagoort, Austin Hilliard, James R. Hurford, Péter Ittzés, Gerhard Jäger, Herbert Jäger, Edith Kaan, Simon Kirby, Natalia L. Komarova, Tatjana Nazir, Frederick Newmeyer, Kazuo Okanoya, Csaba Plèh, Peter J. Richerson, Luigi Rizzi, Wolf Singer, Mark Steedman, Luc Steels, Szabolcs Számadó, Eörs Szathmáry, Maggie Tallerman, Jochen Triesch, Stephanie Ann White

How are two or more languages learned and contained in the same mind or the same community? This handbook presents an up-to-date view of the concept of multi-competence, exploring the research questions it has generated and the methods that have been used to investigate it. The book brings together psychologists, sociolinguists, Second Language Acquisition (SLA) researchers, and language teachers from across the world to look at how multi-competence relates to their own areas of study. This comprehensive, state-of-the-art exploration of multi-competence research and ideas offers a powerful critique of the values and methods of classical SLA research, and an exciting preview of the future implications of multi-competence for research and thinking about language. It is an essential reference for all those concerned with language learning, language use and language teaching.

Studies on the syntactic consequences of event type in languages have shown that "Aktionsart" plays a role in Universal Grammar. This book contributes to the exploration of the syntax/semantics interface by presenting a thorough comparison of event and predicate types in English and Spanish. The mapping between event and syntactic predicate types, including detransitives, is given a minimalist account based on the functional categories that embed event features and on a careful analysis of the features checked by objects. As the book delves into the theoretical issue of how parameters are characterized, it presents the most comprehensive account to date of event type phenomena in Spanish, an innovative analysis of the clitic "SE" and a re-definition of unaccusativity. The theory is then applied to the ongoing issues in the sentence processing literature. A proposal is made for an update of the current data in light of these latest linguistic discoveries.