Download or read book Computational Lexicography for Natural Language Processing written by Bran Boguraev and published by Longman Publishing Group. This book was released on 1989 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Addresses all the issues involved in placing lexical sources on-line, employing the machine-readable version of the Longman Dictionary of contemporary English. Also considers the utility and suitability of LDOCE for automated natural language processing, including details of how to use the information in the dictionary in the construction of practical language processing systems. Co-published in the US with Wiley. Annotation copyrighted by Book News, Inc., Portland, OR
Download or read book Natural Language Processing and Computational Linguistics written by Bhargav Srinivasa-Desikan and published by Packt Publishing Ltd. This book was released on 2018-06-29 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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!
Download or read book Lexicon Development for Speech and Language Processing written by Frank Van Eynde and published by Springer. This book was released on 2014-11-14 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work offers a survey of methods and techniques for structuring, acquiring and maintaining lexical resources for speech and language processing. The first chapter provides a broad survey of the field of computational lexicography, introducing most of the issues, terms and topics which are addressed in more detail in the rest of the book. The next two chapters focus on the structure and the content of man-made lexicons, concentrating respectively on (morpho- )syntactic and (morpho- )phonological information. Both chapters adopt a declarative constraint-based methodology and pay ample attention to the various ways in which lexical generalizations can be formalized and exploited to enhance the consistency and to reduce the redundancy of lexicons. A complementary perspective is offered in the next two chapters, which present techniques for automatically deriving lexical resources from text corpora. These chapters adopt an inductive data-oriented methodology and focus also on methods for tokenization, lemmatization and shallow parsing. The next three chapters focus on speech synthesis and speech recognition.
Download or read book Computer Corpus Lexicography written by Vincent Ooi (B. Y.) and published by . This book was released on 1998 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the reader to the changing notions of the lexicon and dictionary-making, using a convergence of perspectives from computational linguistics, corpus linguistics, and computational lexicography/lexicology. The main issues include: the relation between lexicon and corpus; corpus-based lexical modelling of language; the computational storage of the lexicon. From this, the book constructs and applies a framework for lexicon-building to a case study. It also stresses the importance of the Internet and World Wide Web for dictionary research and study.
Download or read book Lexical Functions in Lexicography and Natural Language Processing written by Leo Wanner and published by John Benjamins Publishing. This book was released on 1996-02-23 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lexical Functions in Lexicography and Natural Language Processing is entirely devoted to the topic of Lexical Functions, which have been introduced in the framework of the Meaning-Text Theory (MTT) as a means for describing restricted lexical co-occurrence and derivational relations. It provides detailed background information, comparative studies of other known proposals for the representation of relations covered by Lexical Functions, as well as a selection of most important works done on and with Lexical Functions in lexicography and computational linguistics. This volume provides excellent course material while it also reports on the state-of-the-art in the field.
Download or read book Introduction to Natural Language Processing written by Jacob Eisenstein and published by MIT Press. This book was released on 2019-10-01 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Lexical Functions in Lexicography and Natural Language Processing written by Leo Wanner and published by John Benjamins Publishing. This book was released on 1996-01-01 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lexical Functions in Lexicography and Natural Language Processing is entirely devoted to the topic of Lexical Functions, which have been introduced in the framework of the Meaning-Text Theory (MTT) as a means for describing restricted lexical co-occurrence and derivational relations. It provides detailed background information, comparative studies of other known proposals for the representation of relations covered by Lexical Functions, as well as a selection of most important works done on and with Lexical Functions in lexicography and computational linguistics. This volume provides excellent course material while it also reports on the state-of-the-art in the field.
Download or read book Natural Language Processing in POP 11 written by Gerald Gazdar and published by Addison Wesley Publishing Company. This book was released on 1989 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Challenges in Natural Language Processing written by Madeleine Bates and published by Cambridge University Press. This book was released on 1993-09-24 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses theoretical or applied work in the field of natural language processing.
Download or read book Dictionaries An International Encyclopedia of Lexicography written by Rufus Gouws and published by Walter de Gruyter. This book was released on 2013-12-18 with total page 1596 pages. Available in PDF, EPUB and Kindle. Book excerpt: The basis for this additional volume are the three volumes of the handbooks Dictionaries. An International Encyclopedia of Lexicography (HSK 5.1–5.3), published between 1989 and 1991. An updating has been perceived as an important desideratum for a considerable time. In the present Supplementary Volume the premises and subjects of HSK 5.1–5.3 are complemented by new articles that take account of the practice-internal and theoretical developments of the last 15 years. Special attention has been given to the following topics: the status and function of lexicographic reference works, the history of lexicography, the theory of lexicography, lexicographic processes, lexicographic training and lexicographic institutions, new metalexicographic methods, electronic and, especially, computer-assisted lexicography.
Download or read book Practical Lexicography written by Thierry Fontenelle and published by Oxford University Press. This book was released on 2008-01-24 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: This reader collects some of the best and most useful work in practical lexicography, focusing on the central issues and hottest topics in the field. An essential resource for all students and scholars of lexicography and lexicology as well as professional lexicographers.
Download or read book Natural Language Processing for Corpus Linguistics written by Jonathan Dunn and published by Cambridge University Press. This book was released on 2022-03-31 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Linked Data in Linguistics written by Christian Chiarcos and published by Springer Science & Business Media. This book was released on 2012-02-21 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: The explosion of information technology has led to substantial growth of web-accessible linguistic data in terms of quantity, diversity and complexity. These resources become even more useful when interlinked with each other to generate network effects. The general trend of providing data online is thus accompanied by newly developing methodologies to interconnect linguistic data and metadata. This includes linguistic data collections, general-purpose knowledge bases (e.g., the DBpedia, a machine-readable edition of the Wikipedia), and repositories with specific information about languages, linguistic categories and phenomena. The Linked Data paradigm provides a framework for interoperability and access management, and thereby allows to integrate information from such a diverse set of resources. The contributions assembled in this volume illustrate the band-width of applications of the Linked Data paradigm for representative types of language resources. They cover lexical-semantic resources, annotated corpora, typological databases as well as terminology and metadata repositories. The book includes representative applications from diverse fields, ranging from academic linguistics (e.g., typology and corpus linguistics) over applied linguistics (e.g., lexicography and translation studies) to technical applications (in computational linguistics, Natural Language Processing and information technology). This volume accompanies the Workshop on Linked Data in Linguistics 2012 (LDL-2012) in Frankfurt/M., Germany, organized by the Open Linguistics Working Group (OWLG) of the Open Knowledge Foundation (OKFN). It assembles contributions of the workshop participants and, beyond this, it summarizes initial steps in the formation of a Linked Open Data cloud of linguistic resources, the Linguistic Linked Open Data cloud (LLOD).
Download or read book The Swedish FrameNet written by Dana Dannélls and published by John Benjamins Publishing Company. This book was released on 2021-11-26 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: Large computational lexicons are central NLP resources. Swedish FrameNet++ aims to be a versatile full-scale lexical resource for NLP containing many kinds of linguistic information. Although focused on Swedish, this ongoing effort, which includes building a new Swedish framenet and recycling existing lexicons, has offered valuable insights into general aspects of lexical-resource building for NLP, which are discussed in this book: computational and linguistic problems of lexical semantics and lexical typology, the nature of lexical items (words and multiword expressions), achieving interoperability among heterogeneous lexical content, NLP methods for extending and interlinking existing lexicons, and deploying the new resource in practical NLP applications. This book is targeted at everyone with an interest in lexicography, computational lexicography, lexical typology, lexical semantics, linguistics, computational linguistics and related fields. We believe it should be of particular interest to those who are or have been involved in language resource creation, development and evaluation.
Download or read book Computational Linguistics written by A. M. McEnery and published by Coronet Books. This book was released on 1992 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Oxford Handbook of Computational Linguistics written by Ruslan Mitkov and published by Oxford University Press. This book was released on 2022-06-02 with total page 1377 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ruslan Mitkov's highly successful Oxford Handbook of Computational Linguistics has been substantially revised and expanded in this second edition. Alongside updated accounts of the topics covered in the first edition, it includes 17 new chapters on subjects such as semantic role-labelling, text-to-speech synthesis, translation technology, opinion mining and sentiment analysis, and the application of Natural Language Processing in educational and biomedical contexts, among many others. The volume is divided into four parts that examine, respectively: the linguistic fundamentals of computational linguistics; the methods and resources used, such as statistical modelling, machine learning, and corpus annotation; key language processing tasks including text segmentation, anaphora resolution, and speech recognition; and the major applications of Natural Language Processing, from machine translation to author profiling. The book will be an essential reference for researchers and students in computational linguistics and Natural Language Processing, as well as those working in related industries.
Download or read book Computational Morphology written by Graeme D. Ritchie and published by MIT Press. This book was released on 1992 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Previous work on morphology has largely tended either to avoid precise computational details or to ignore linguistic generality. Computational Morphologyis the first book to present an integrated set of techniques for the rigorous description of morphological phenomena in English and similar languages. By taking account of all facets of morphological analysis, it provides a linguistically general and computationally practical dictionary system for use within an English parsing program. The authors covermorphographemics (variations in spelling as words are built from their component morphemes),morphotactics (the ways that different classes of morphemes can combine, and the types of words that result), andlexical redundancy (patterns of similarity and regularity among the lexical entries for words). They propose a precise rule-notation for each of these areas of linguistic description and present the algorithms for using these rules computationally to manipulate dictionary information. These mechanisms have been implemented in practical and publicly available software, which is described in detail, and appendixes contain a large number of computer-tested sets of rules and lexical entries for English. Graeme D. Ritchie is a Senior Lecturer in the Department of Artificial Intelligence at the University of Edinburgh, where Alan W. Black is currently a research student. Graham J. Russell is a Research Fellow at ISSCO (Institut Dalle Molle pour les etudes semantiques et cognitives) in Geneva, and Stephen G. Pulman is a Lecturer in the University of Cambridge Computer Laboratory and Director of SRI International's Cambridge Computer Science Research Centre.
