Advertisement
| introduction to computational linguistics: Natural Language Processing in POP-11 Gerald Gazdar, Christopher S. Mellish, 1989 |
| introduction to computational linguistics: Computational Linguistics Ralph Grishman, 1986-11-06 A highly respected introduction to the computer analysis of language. Copyright © Libri GmbH. All rights reserved. |
| introduction to computational linguistics: Speech and Language Processing Daniel Jurafsky, James H. Martin, 2000-01 This book takes an empirical approach to language processing, based on applying statistical and other machine-learning algorithms to large corpora.Methodology boxes are included in each chapter. Each chapter is built around one or more worked examples to demonstrate the main idea of the chapter. Covers the fundamental algorithms of various fields, whether originally proposed for spoken or written language to demonstrate how the same algorithm can be used for speech recognition and word-sense disambiguation. Emphasis on web and other practical applications. Emphasis on scientific evaluation. Useful as a reference for professionals in any of the areas of speech and language processing. |
| introduction to computational linguistics: The Handbook of Computational Linguistics and Natural Language Processing Alexander Clark, Chris Fox, Shalom Lappin, 2013-04-24 This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP). Features contributions by the top researchers in the field, reflecting the work that is driving the discipline forward Includes an introduction to the major theoretical issues in these fields, as well as the central engineering applications that the work has produced Presents the major developments in an accessible way, explaining the close connection between scientific understanding of the computational properties of natural language and the creation of effective language technologies Serves as an invaluable state-of-the-art reference source for computational linguists and software engineers developing NLP applications in industrial research and development labs of software companies |
| introduction to computational linguistics: The Oxford Handbook of Computational Linguistics Ruslan Mitkov, 2004 This handbook of computational linguistics, written for academics, graduate students and researchers, provides a state-of-the-art reference to one of the most active and productive fields in linguistics. |
| introduction to computational linguistics: Language and Computers Markus Dickinson, Chris Brew, Detmar Meurers, 2012-08-20 Language and Computers introduces students to the fundamentals of how computers are used to represent, process, and organize textual and spoken information. Concepts are grounded in real-world examples familiar to students’ experiences of using language and computers in everyday life. A real-world introduction to the fundamentals of how computers process language, written specifically for the undergraduate audience, introducing key concepts from computational linguistics. Offers a comprehensive explanation of the problems computers face in handling natural language Covers a broad spectrum of language-related applications and issues, including major computer applications involving natural language and the social and ethical implications of these new developments The book focuses on real-world examples with which students can identify, using these to explore the technology and how it works Features “under-the-hood” sections that give greater detail on selected advanced topics, rendering the book appropriate for more advanced courses, or for independent study by the motivated reader. |
| introduction to computational linguistics: An Introduction to Language and Linguistics Ralph Fasold, Jeffrey Connor-Linton, 2006-03-09 This accessible textbook offers balanced and uniformly excellent coverage of modern linguistics. |
| introduction to computational linguistics: Introduction to Arabic Natural Language Processing Nizar Y. Habash, 2010 This book provides system developers and researchers in natural language processing and computational linguistics with the necessary background information for working with the Arabic language. The goal is to introduce Arabic linguistic phenomena and review the state-of-the-art in Arabic processing. The book discusses Arabic script, phonology, orthography, morphology, syntax and semantics, with a final chapter on machine translation issues. The chapter sizes correspond more or less to what is linguistically distinctive about Arabic, with morphology getting the lion's share, followed by Arabic script. No previous knowledge of Arabic is needed. This book is designed for computer scientists and linguists alike. The focus of the book is on Modern Standard Arabic; however, notes on practical issues related to Arabic dialects and languages written in the Arabic script are presented in different chapters. Table of Contents: What is Arabic? / Arabic Script / Arabic Phonology and Orthography / Arabic Morphology / Computational Morphology Tasks / Arabic Syntax / A Note on Arabic Semantics / A Note on Arabic and Machine Translation |
| introduction to computational linguistics: Language and Linguistics John Lyons, 1981-05-29 This 1981 book is a general introduction to linguistics and the study of language, intended particularly for beginning students and readers with no previous knowledge or training in the subject. There is first a general account of the nature of language and of the aims, methods and basic principles of linguistic theory. John Lyons then introduces in turn each of the main sub-fields of linguistics: the sounds of language, grammar, semantics, language change, psycholinguistics: the sounds of language, grammar, semantics, language change, psycholinguistics, language and culture. Throughout the book he emphasizes particularly those aspects of the discipline that seem fundamental and most likely to remain important. He stresses throughout the cultural at least as much as the biological context of human language, and shows how the linguist's concerns connect productively with those of the traditional humanities and the social sciences. Each chapter has a wide-ranging set of discussion questions and revision exercises, and extensive suggestions for further reading. The exposition is marked throughout by the author's characteristic clarity, balance and authority. |
| introduction to computational linguistics: Chinese Computational Linguistics Sheng Li, Maosong Sun, Yang Liu, Hua Wu, Liu Kang, Wanxiang Che, Shizhu He, Gaoqi Rao, 2021-08-07 This book constitutes the proceedings of the 20th China National Conference on Computational Linguistics, CCL 2021, held in Hohhot, China, in August 2021. The 31 full presented in this volume were carefully reviewed and selected from 90 submissions. The conference papers covers the following topics such as Machine Translation and Multilingual Information Processing, Minority Language Information Processing, Social Computing and Sentiment Analysis, Text Generation and Summarization, Information Retrieval, Dialogue and Question Answering, Linguistics and Cognitive Science, Language Resource and Evaluation, Knowledge Graph and Information Extraction, and NLP Applications. |
| introduction to computational linguistics: Introduction to Natural Language Processing Jacob Eisenstein, 2019-10-01 A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classical representations and algorithms with contemporary machine learning techniques. This textbook provides a technical perspective on natural language processing—methods for building computer software that understands, generates, and manipulates human language. It emphasizes contemporary data-driven approaches, focusing on techniques from supervised and unsupervised machine learning. The first section establishes a foundation in machine learning by building a set of tools that will be used throughout the book and applying them to word-based textual analysis. The second section introduces structured representations of language, including sequences, trees, and graphs. The third section explores different approaches to the representation and analysis of linguistic meaning, ranging from formal logic to neural word embeddings. The final section offers chapter-length treatments of three transformative applications of natural language processing: information extraction, machine translation, and text generation. End-of-chapter exercises include both paper-and-pencil analysis and software implementation. The text synthesizes and distills a broad and diverse research literature, linking contemporary machine learning techniques with the field's linguistic and computational foundations. It is suitable for use in advanced undergraduate and graduate-level courses and as a reference for software engineers and data scientists. Readers should have a background in computer programming and college-level mathematics. After mastering the material presented, students will have the technical skill to build and analyze novel natural language processing systems and to understand the latest research in the field. |
| introduction to computational linguistics: A Computational Introduction to Linguistics Almerindo E. Ojeda, 2013 In this book, Almerindo E. Ojeda offers a unique perspective on linguistics by discussing developing computer programs that will assign particular sounds to particular meanings and, conversely, particular meanings to particular sounds. Since these assignments are to operate efficiently over unbounded domains of sound and sense, they can begin to model the two fundamental modalities of human language--speaking and hearing. The computational approach adopted in this book is motivated by our struggle with one of the key problems of contemporary linguistics--figuring out how it is that language emerges from the brain. |
| introduction to computational linguistics: English Syntax Jong-Bok Kim, Peter Sells, 2008 Focusing on the descriptive facts of English, this volume provides a systematic introduction to English syntax for students with no prior knowledge of English grammar or syntactic analysis. English Syntax aims to help students appreciate the various sentence patterns available in the language, understand insights into core data of its syntax, develop analytic abilities to further explore the patterns of English, and learn precise ways of formalizing syntactic analysis for a variety of English data and major constructions such as agreement, raising and control, the auxiliary system, passive, wh- questions, relative clauses, extrapolation, and clefts--Publisher's description. |
| introduction to computational linguistics: Semisupervised Learning for Computational Linguistics Steven P. Abney, 2008 This book provides a broad treatment of the theory and linguistic applications of semisupervised methods. It presents a brief history of the field before moving on to discuss well-known natural language processing methods, such as self-training and co-training. It then centers on machine learning techniques. |
| introduction to computational linguistics: Computational Analysis of Storylines Tommaso Caselli, Eduard Hovy, Martha Palmer, Piek Vossen, 2021-11-25 A review of recent computational (deep learning) approaches to understanding news and nonfiction stories. |
| introduction to computational linguistics: Semantic Domains in Computational Linguistics Alfio Gliozzo, Carlo Strapparava, 2009-07-31 Semantic fields are lexically coherent – the words they contain co-occur in texts. In this book the authors introduce and define semantic domains, a computational model for lexical semantics inspired by the theory of semantic fields. Semantic domains allow us to exploit domain features for texts, terms and concepts, and they can significantly boost the performance of natural-language processing systems. Semantic domains can be derived from existing lexical resources or can be acquired from corpora in an unsupervised manner. They also have the property of interlinguality, and they can be used to relate terms in different languages in multilingual application scenarios. The authors give a comprehensive explanation of the computational model, with detailed chapters on semantic domains, domain models, and applications of the technique in text categorization, word sense disambiguation, and cross-language text categorization. This book is suitable for researchers and graduate students in computational linguistics. |
| introduction to computational linguistics: Natural Language Processing with Python Steven Bird, Ewan Klein, Edward Loper, 2009-06-12 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. |
| introduction to computational linguistics: Computational Linguistics, Speech And Image Processing For Arabic Language Neamat El Gayar, Ching Yee Suen, 2018-09-18 This book encompasses a collection of topics covering recent advances that are important to the Arabic language in areas of natural language processing, speech and image analysis. This book presents state-of-the-art reviews and fundamentals as well as applications and recent innovations.The book chapters by top researchers present basic concepts and challenges for the Arabic language in linguistic processing, handwritten recognition, document analysis, text classification and speech processing. In addition, it reports on selected applications in sentiment analysis, annotation, text summarization, speech and font analysis, word recognition and spotting and question answering.Moreover, it highlights and introduces some novel applications in vital areas for the Arabic language. The book is therefore a useful resource for young researchers who are interested in the Arabic language and are still developing their fundamentals and skills in this area. It is also interesting for scientists who wish to keep track of the most recent research directions and advances in this area. |
| introduction to computational linguistics: Natural Language Processing and Computational Linguistics Bhargav Srinivasa-Desikan, 2018-06-29 Work with Python and powerful open source tools such as Gensim and spaCy to perform modern text analysis, natural language processing, and computational linguistics algorithms. Key Features Discover the open source Python text analysis ecosystem, using spaCy, Gensim, scikit-learn, and Keras Hands-on text analysis with Python, featuring natural language processing and computational linguistics algorithms Learn deep learning techniques for text analysis Book Description Modern text analysis is now very accessible using Python and open source tools, so discover how you can now perform modern text analysis in this era of textual data. This book shows you how to use natural language processing, and computational linguistics algorithms, to make inferences and gain insights about data you have. These algorithms are based on statistical machine learning and artificial intelligence techniques. The tools to work with these algorithms are available to you right now - with Python, and tools like Gensim and spaCy. You'll start by learning about data cleaning, and then how to perform computational linguistics from first concepts. You're then ready to explore the more sophisticated areas of statistical NLP and deep learning using Python, with realistic language and text samples. You'll learn to tag, parse, and model text using the best tools. You'll gain hands-on knowledge of the best frameworks to use, and you'll know when to choose a tool like Gensim for topic models, and when to work with Keras for deep learning. This book balances theory and practical hands-on examples, so you can learn about and conduct your own natural language processing projects and computational linguistics. You'll discover the rich ecosystem of Python tools you have available to conduct NLP - and enter the interesting world of modern text analysis. What you will learn Why text analysis is important in our modern age Understand NLP terminology and get to know the Python tools and datasets Learn how to pre-process and clean textual data Convert textual data into vector space representations Using spaCy to process text Train your own NLP models for computational linguistics Use statistical learning and Topic Modeling algorithms for text, using Gensim and scikit-learn Employ deep learning techniques for text analysis using Keras Who this book is for This book is for you if you want to dive in, hands-first, into the interesting world of text analysis and NLP, and you're ready to work with the rich Python ecosystem of tools and datasets waiting for you! |
| introduction to computational linguistics: An Introduction to Formal Language Theory Robert N. Moll, Michael A. Arbib, A.J. Kfoury, 2012-12-06 The study of formal languages and of related families of automata has long been at the core of theoretical computer science. Until recently, the main reasons for this centrality were connected with the specification and analy sis of programming languages, which led naturally to the following ques tions. How might a grammar be written for such a language? How could we check whether a text were or were not a well-formed program generated by that grammar? How could we parse a program to provide the structural analysis needed by a compiler? How could we check for ambiguity to en sure that a program has a unique analysis to be passed to the computer? This focus on programming languages has now been broadened by the in creasing concern of computer scientists with designing interfaces which allow humans to communicate with computers in a natural language, at least concerning problems in some well-delimited domain of discourse. The necessary work in computational linguistics draws on studies both within linguistics (the analysis of human languages) and within artificial intelligence. The present volume is the first textbook to combine the topics of formal language theory traditionally taught in the context of program ming languages with an introduction to issues in computational linguistics. It is one of a series, The AKM Series in Theoretical Computer Science, designed to make key mathematical developments in computer science readily accessible to undergraduate and beginning graduate students. |
| introduction to computational linguistics: Introduction to Computational Linguistics and its use for medical translations in the universities of Health Sciences Dr. Muhammad Khalid Mehmood Sajid, 2023-08-02 This book is written by Dr. Muhammad Khalid Mehmood Sajid on computational linguistics and its use for medical translations in the universities of health sciences. This book has 15 chapters, 103 pages with a title and back cover page which describes the bio of Dr. Muhammad Khalid Mehmood Sajid who is the main and key author of this book. Dr. Muhammad Khalid Mehmood Sajid has a Ph.D. in Applied Linguistics from Universiti Malaysia Pahang and is a Post-doc Fellow. Being an international scholar and educationist, he has over 20 years of English teaching experience in Pakistani and Saudi Arabian Universities. He also taught in UAE, Malaysia, and Sultanate of Oman. He had been a lecturer at Qassim University. He also worked as a faculty member at King Faisal University. He was an Academic Coordinator in Army College Rawalpindi and a lecturer at Pakistan Airforce College, Islamabad. Presently, he is working as English faculty in the College of Applied Medical Sciences, English Department, King Saud Bin Abdul Aziz University for Health Sciences, Saudi Arabia. His high-quality research papers were published in Saudi Arabia, UAE, Malaysia, India, Pakistan, USA, Canada, Turkey, Europe, Australia, New Zealand, South Africa, and the Philippines. He is also a recommended research writer and an author of Scopus, Web of Science. Having high Google Scholar citations, he is also a member of the research board and a reviewer of many international, Scopus and Web of Science journals. Moreover, he is also an English article writer and founder of the Applied Linguistics Group. |
| introduction to computational linguistics: Recent Advances in Computational Terminology Didier Bourigault, Christian Jacquemin, Marie-Claude L'Homme, 2001-06-15 This first collection of selected articles from researchers in automatic analysis, storage, and use of terminology, and specialists in applied linguistics, computational linguistics, information retrieval, and artificial intelligence offers new insights on computational terminology. The recent needs for intelligent information access, automatic query translation, cross-lingual information retrieval, knowledge management, and document handling have led practitioners and engineers to focus on automated term handling. This book offers new perspectives on their expectations. It will be of interest to terminologists, translators, language or knowledge engineers, librarians and all others dependent on the automation of terminology processing in professional practices. The articles cover themes such as automatic thesaurus construction, automatic term acquisition, automatic term translation, automatic indexing and abstracting, and computer-aided knowledge acquisition. The high academic standing of the contributors together with their experience in terminology management results in a set of contributions that tackle original and unique scientific issues in correlation with genuine applications of terminology processing. |
| introduction to computational linguistics: An Introduction to Language 10e Victoria Fromkin, Robert Rodman, Nina Hyams, Mengistu Amberber, Felicity Cox, 2021-08-19 An Introduction to Language introduces students to the fascinating study of human language. Engagingly and clearly written, it provides an overview of the key areas of linguistics from an Australian perspective. Unique to this text, the International Phonetic Alphabet is represented by both HCE and MD versions, allowing lecturers to use whichever IPA system they prefer. Premium online teaching and learning tools are available on the MindTap platform. Learn more about the online tools au.cengage.com/mindtap |
| introduction to computational linguistics: Corpus Linguistics and Statistics with R Guillaume Desagulier, 2017-11-17 This textbook examines empirical linguistics from a theoretical linguist’s perspective. It provides both a theoretical discussion of what quantitative corpus linguistics entails and detailed, hands-on, step-by-step instructions to implement the techniques in the field. The statistical methodology and R-based coding from this book teach readers the basic and then more advanced skills to work with large data sets in their linguistics research and studies. Massive data sets are now more than ever the basis for work that ranges from usage-based linguistics to the far reaches of applied linguistics. This book presents much of the methodology in a corpus-based approach. However, the corpus-based methods in this book are also essential components of recent developments in sociolinguistics, historical linguistics, computational linguistics, and psycholinguistics. Material from the book will also be appealing to researchers in digital humanities and the many non-linguistic fields that use textual data analysis and text-based sensorimetrics. Chapters cover topics including corpus processing, frequencing data, and clustering methods. Case studies illustrate each chapter with accompanying data sets, R code, and exercises for use by readers. This book may be used in advanced undergraduate courses, graduate courses, and self-study. |
| introduction to computational linguistics: Language, Cognition, and Computational Models Thierry Poibeau, Aline Villavicencio, 2018-01-25 How do infants learn a language? Why and how do languages evolve? How do we understand a sentence? This book explores these questions using recent computational models that shed new light on issues related to language and cognition. The chapters in this collection propose original analyses of specific problems and develop computational models that have been tested and evaluated on real data. Featuring contributions from a diverse group of experts, this interdisciplinary book bridges the gap between natural language processing and cognitive sciences. It is divided into three sections, focusing respectively on models of neural and cognitive processing, data driven methods, and social issues in language evolution. This book will be useful to any researcher and advanced student interested in the analysis of the links between the brain and the language faculty. |
| introduction to computational linguistics: Linguistic Structure Prediction Noah A. Smith, 2022-05-31 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 |
| introduction to computational linguistics: An Introduction to Contact Linguistics Donald Winford, 2003-01-10 This book is a comprehensive introduction to the study of language contact and its outcomes, as well as the social and linguistic factors involved. Provides a comprehensive introduction to the field of contact linguistics. Examines a wide range of language contact phenomena from both general linguistic and sociolinguistic perspectives. Offers an account of current approaches to all of the major types of contact-induced change. Discusses the general processes and principles that are at work in cases of contact. |
| introduction to computational linguistics: An Introduction to Linguistic Typology Viveka Velupillai, 2012-08-08 This clear and accessible introduction to linguistic typology covers all linguistic domains from phonology and morphology over parts-of-speech, the NP and the VP, to simple and complex clauses, pragmatics and language change. There is also a discussion on methodological issues in typology. This textbook is the first introduction that consistently applies the findings of the World Atlas of Language Structures, systematically includes pidgin and creole languages and devotes a section to sign languages in each chapter. All chapters contain numerous illustrative examples and specific feature maps. Keywords and exercises help review the main topics of each chapter. Appendices provide macro data for all the languages cited in the book as well as a list of web sites of typological interest. An extensive glossary gives at-a-glance definitions of the terms used in the book. This introduction is designed for students of courses with a focus on language diversity and typology, as well as typologically-oriented courses in morphology and syntax. The book will also serve as a guide for field linguists. |
| introduction to computational linguistics: The Virtual Linguistics Campus Jürgen Handke, Peter Franke, 2006 |
| introduction to computational linguistics: Computational Linguistics and Talking Robots Roland Hausser, 2011-08-19 The practical task of building a talking robot requires a theory of how natural language communication works. Conversely, the best way to computationally verify a theory of natural language communication is to demonstrate its functioning concretely in the form of a talking robot, the epitome of human–machine communication. To build an actual robot requires hardware that provides appropriate recognition and action interfaces, and because such hardware is hard to develop the approach in this book is theoretical: the author presents an artificial cognitive agent with language as a software system called database semantics (DBS). Because a theoretical approach does not have to deal with the technical difficulties of hardware engineering there is no reason to simplify the system – instead the software components of DBS aim at completeness of function and of data coverage in word form recognition, syntactic–semantic interpretation and inferencing, leaving the procedural implementation of elementary concepts for later. In this book the author first examines the universals of natural language and explains the Database Semantics approach. Then in Part I he examines the following natural language communication issues: using external surfaces; the cycle of natural language communication; memory structure; autonomous control; and learning. In Part II he analyzes the coding of content according to the aspects: semantic relations of structure; simultaneous amalgamation of content; graph-theoretical considerations; computing perspective in dialogue; and computing perspective in text. The book ends with a concluding chapter, a bibliography and an index. The book will be of value to researchers, graduate students and engineers in the areas of artificial intelligence and robotics, in particular those who deal with natural language processing. |
| introduction to computational linguistics: Language and Computers Geoff Barnbrook, 1996 An introduction to corpus-based language research, covering the use of computers, obtaining corpus material, analytical tools, and applications of computerized natural language processing. Offers guidance on programming at a level suitable for readers with no prior experience, and includes exercises and suggested solutions, case studies, and a glossary. Appendices discuss specific programming languages for language programming and give detailed programming examples with commentary. Annotation copyrighted by Book News, Inc., Portland, OR |
| introduction to computational linguistics: An Introduction to the Theory of Formal Languages and Automata Willem J. M. Levelt, 2008 The present text is a re-edition of Volume I of Formal Grammars in Linguistics and Psycholinguistics, a three-volume work published in 1974. This volume is an entirely self-contained introduction to the theory of formal grammars and automata, which hasn't lost any of its relevance. Of course, major new developments have seen the light since this introduction was first published, but it still provides the indispensible basic notions from which later work proceeded. The author's reasons for writing this text are still relevant: an introduction that does not suppose an acquaintance with sophisticated mathematical theories and methods, that is intended specifically for linguists and psycholinguists (thus including such topics as learnability and probabilistic grammars), and that provides students of language with a reference text for the basic notions in the theory of formal grammars and automata, as they keep being referred to in linguistic and psycholinguistic publications; the subject index of this introduction can be used to find definitions of a wide range of technical terms. An appendix has been added with further references to some of the core new developments since this book originally appeared. |
| introduction to computational linguistics: Natural Language Processing in Prolog Gerald Gazdar, Christopher S. Mellish, 1989 Explains how computers can be programmed to recognize the complex ambiguities of human language. Addresses: current techniques in syntax, semantics, and pragmatics; program listings showing applications in Prolog; and question answering and inference. Targeted at professionals in the artificial inte. |
| introduction to computational linguistics: Computational Psycholinguistics Matthew W. Crocker, 1996-01-31 Computational Psycholinguistics: An Interdisciplinary Approach to the Study of Language investigates the architecture and mechanisms which underlie the human capacity to process language. It is the first such study to integrate modern syntactic theory, cross-linguistic psychological evidence, and modern computational techniques in constructing a model of the human sentence processing mechanism. The monograph follows the rationalist tradition, arguing the central role of modularity and universal grammar in a theory of human linguistic performance. It refines the notion of `modularity of mind', and presents a distributed model of syntactic processing which consists of modules aligned with the various informational `types' associated with modern linguistic theories. By considering psycholinguistic evidence from a range of languages, a small number of processing principles are motivated and are demonstrated to hold universally. It is also argued that the behavior of modules, and the strategies operative within them, can be derived from an overarching `Principle of Incremental Comprehension'. Audience: The book is recommended to all linguists, psycholinguists, computational linguists, and others interested in a unified and interdisciplinary study of the human language faculty. |
| introduction to computational linguistics: Introducing Linguistics Joyce Bruhn de Garavito, John W. Schwieter, 2021-01-21 Offers a contemporary approach to the study of language. The engaging, thought-provoking discourse of this book makes it accessible to all learners. |
| introduction to computational linguistics: Linguistics for the Age of AI Marjorie Mcshane, Sergei Nirenburg, 2021-03-02 A human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems. One of the original goals of artificial intelligence research was to endow intelligent agents with human-level natural language capabilities. Recent AI research, however, has focused on applying statistical and machine learning approaches to big data rather than attempting to model what people do and how they do it. In this book, Marjorie McShane and Sergei Nirenburg return to the original goal of recreating human-level intelligence in a machine. They present a human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems that emphasizes meaning--the deep, context-sensitive meaning that a person derives from spoken or written language. |
| introduction to computational linguistics: Introduction to Computational Linguistics David G. Hays, 1967 |
| introduction to computational linguistics: An Introduction to Linguistics and Language Studies Anne McCabe, 2017 This introductory textbook provides readers with a foundation in methods for analysing and understanding language from various theoretical perspectives within linguistics and language studies. Its novel approach introduces systemic functional linguistics, text and discourse analysis, and formal approaches to linguistics. It demonstrates applications of these approaches to reveal how we use language in society, how our brains process language, and how we learn language. Topics include phonetics, phonology, conversation analysis, morphology, semantics, functional and formal syntax, text linguistics, genre analysis, evaluative lexis in text, multimodal representations of meaning, language change and variation, animals and language, the brain and language, and first and second language development/acquisition. The main language focused on is English, while other languages are also drawn on to illustrate the principles, models and theories. Learning outcomes, exercises (with answer key), ideas for project work, and questions for reflection are provided throughout. A final chapter gathers explanations of various fields of practice within linguistics, written by linguists from around the world, including David Crystal (Clinical Linguistics), Frances Christie (Educational Linguistics), and Malcolm Coulthard (Forensic Linguistics). An Introduction to Linguistics and Language Studies offers an array of analytical tools for undergraduate students of language, communication, and education, and provides an overview of the field for those interested in further study in linguistics and applied language studies. Readers will come away with a heightened sensitivity to and appreciation of their own and other's use of language for creating meaning and for interaction. |
INTRODUCTION Definition & Meaning - Merriam-Webster
The meaning of INTRODUCTION is something that introduces. How to use introduction in a sentence.
How to Write an Introduction, With Examples | Grammarly
Oct 20, 2022 · An introduction should include three things: a hook to interest the reader, some background on the topic so the reader can understand it, and a thesis statement that clearly …
INTRODUCTION | English meaning - Cambridge Dictionary
INTRODUCTION definition: 1. an occasion when something is put into use or brought to a place for the first time: 2. the act…. Learn more.
What Is an Introduction? Definition & 25+ Examples - Enlightio
Nov 5, 2023 · An introduction is the initial section of a piece of writing, speech, or presentation wherein the author presents the topic and purpose of the material. It serves as a gateway for …
Introduction - definition of introduction by The Free Dictionary
Something spoken, written, or otherwise presented in beginning or introducing something, especially: a. A preface, as to a book. b. Music A short preliminary passage in a larger …
INTRODUCTION Definition & Meaning - Merriam-Webster
The meaning of INTRODUCTION is something that introduces. How to use introduction in a sentence.
How to Write an Introduction, With Examples | Grammarly
Oct 20, 2022 · An introduction should include three things: a hook to interest the reader, some background on the topic so the reader can understand it, and a thesis statement that clearly …
INTRODUCTION | English meaning - Cambridge Dictionary
INTRODUCTION definition: 1. an occasion when something is put into use or brought to a place for the first time: 2. the act…. Learn more.
What Is an Introduction? Definition & 25+ Examples - Enlightio
Nov 5, 2023 · An introduction is the initial section of a piece of writing, speech, or presentation wherein the author presents the topic and purpose of the material. It serves as a gateway for …
Introduction - definition of introduction by The Free Dictionary
Something spoken, written, or otherwise presented in beginning or introducing something, especially: a. A preface, as to a book. b. Music A short preliminary passage in a larger …
