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Author: Bran Boguraev
Publisher: Longman Publishing Group
ISBN:
Category : Computers
Languages : en
Pages : 336
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Book Description
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
Author: Bran Boguraev
Publisher: Longman Publishing Group
ISBN:
Category : Computers
Languages : en
Pages : 336
Get Book Here
Book Description
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
Author: Bhargav Srinivasa-Desikan
Publisher: Packt Publishing Ltd
ISBN: 1788837037
Category : Computers
Languages : en
Pages : 298
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Book Description
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!
Author: Frank Van Eynde
Publisher: Springer
ISBN: 9401094586
Category : Language Arts & Disciplines
Languages : en
Pages : 302
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Book Description
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.
Author: Vincent Ooi (B. Y.)
Publisher:
ISBN:
Category : Lexicography
Languages : en
Pages : 260
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Book Description
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.
Author: Leo Wanner
Publisher: John Benjamins Publishing
ISBN: 902723034X
Category : Language Arts & Disciplines
Languages : en
Pages : 377
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Book Description
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.
Author: Jacob Eisenstein
Publisher: MIT Press
ISBN: 0262354578
Category : Computers
Languages : en
Pages : 536
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Book Description
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.
Author: Rufus Gouws
Publisher: Walter de Gruyter
ISBN: 3110238136
Category : Language Arts & Disciplines
Languages : en
Pages : 1596
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Book Description
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.
Author: Madeleine Bates
Publisher: Cambridge University Press
ISBN: 0521410150
Category : Computers
Languages : en
Pages : 312
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Book Description
This book addresses theoretical or applied work in the field of natural language processing.
Author: Thierry Fontenelle
Publisher: Oxford University Press
ISBN: 0199292337
Category : Computers
Languages : en
Pages : 416
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Book Description
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.
Author: Christian Chiarcos
Publisher: Springer Science & Business Media
ISBN: 3642282490
Category : Computers
Languages : en
Pages : 220
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Book Description
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).
