Lexical Analysis

2013-01-25
Lexical Analysis
Author: Patrick Hanks
Publisher: MIT Press
Total Pages: 479
Release: 2013-01-25
Genre: Language Arts & Disciplines
ISBN: 0262312867
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A lexically based, corpus-driven theoretical approach to meaning in language that distinguishes between patterns of normal use and creative exploitations of norms. In Lexical Analysis, Patrick Hanks offers a wide-ranging empirical investigation of word use and meaning in language. The book fills the need for a lexically based, corpus-driven theoretical approach that will help people understand how words go together in collocational patterns and constructions to make meanings. Such an approach is now possible, Hanks writes, because of the availability of new forms of evidence (corpora, the Internet) and the development of new methods of statistical analysis and inferencing. Hanks offers a new theory of language, the Theory of Norms and Exploitations (TNE), which makes a systematic distinction between normal and abnormal usage—between rules for using words normally and rules for exploiting such norms in metaphor and other creative use of language. Using hundreds of carefully chosen citations from corpora and other texts, he shows how matching each use of a word against established contextual patterns plays a large part in determining the meaning of an utterance. His goal is to develop a coherent and practical lexically driven theory of language that takes into account the immense variability of everyday usage and that shows that this variability is rule governed rather than random. Such a theory will complement other theoretical approaches to language, including cognitive linguistics, construction grammar, generative lexicon theory, priming theory, and pattern grammar.

Lexical Analysis

2013-01-25
Lexical Analysis
Author: Patrick Hanks
Publisher: MIT Press
Total Pages: 479
Release: 2013-01-25
Genre: Language Arts & Disciplines
ISBN: 0262018578
GET BOOK

A lexically based, corpus-driven theoretical approach to meaning in language that distinguishes between patterns of normal use and creative exploitations of norms. In Lexical Analysis, Patrick Hanks offers a wide-ranging empirical investigation of word use and meaning in language. The book fills the need for a lexically based, corpus-driven theoretical approach that will help people understand how words go together in collocational patterns and constructions to make meanings. Such an approach is now possible, Hanks writes, because of the availability of new forms of evidence (corpora, the Internet) and the development of new methods of statistical analysis and inferencing. Hanks offers a new theory of language, the Theory of Norms and Exploitations (TNE), which makes a systematic distinction between normal and abnormal usage—between rules for using words normally and rules for exploiting such norms in metaphor and other creative use of language. Using hundreds of carefully chosen citations from corpora and other texts, he shows how matching each use of a word against established contextual patterns plays a large part in determining the meaning of an utterance. His goal is to develop a coherent and practical lexically driven theory of language that takes into account the immense variability of everyday usage and that shows that this variability is rule governed rather than random. Such a theory will complement other theoretical approaches to language, including cognitive linguistics, construction grammar, generative lexicon theory, priming theory, and pattern grammar.

Lexical-Functional Syntax

2015-06-18
Lexical-Functional Syntax
Author: Joan Bresnan
Publisher: John Wiley & Sons
Total Pages: 536
Release: 2015-06-18
Genre: Language Arts & Disciplines
ISBN: 111909920X
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Lexical-Functional Syntax, 2nd Edition, the definitive text for Lexical Functional Grammar (LFG) with a focus on syntax, is updated to reflect recent developments in the field. Provides both an introduction to LFG and a synthesis of major theoretical developments in lexical-functional syntax over the past few decades Includes in-depth discussions of a large number of syntactic phenomena from typologically diverse languages Features extensive problem sets and solutions in each chapter to aid in self-study Incorporates reader feedback from the 1st Edition to correct errors and enhance clarity

Compilers

1986-01
Compilers
Author: Alfred V. Aho
Publisher:
Total Pages: 796
Release: 1986-01
Genre: Compilateurs (Logiciels)
ISBN: 9780201101942
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Software -- Programming Languages.

Python Natural Language Processing

2017-07-31
Python Natural Language Processing
Author: Jalaj Thanaki
Publisher: Packt Publishing Ltd
Total Pages: 476
Release: 2017-07-31
Genre: Computers
ISBN: 1787285529
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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.

Lexical Collocation Analysis

2018-08-21
Lexical Collocation Analysis
Author: Pascual Cantos-Gómez
Publisher: Springer
Total Pages: 145
Release: 2018-08-21
Genre: Social Science
ISBN: 3319925822
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This book re-examines the notion of word associations, more precisely collocations. It attempts to come to a potentially more generally applicable definition of collocation and how to best extract, identify and measure collocations. The book highlights the role played by (i) automatic linguistic annotation (part-of-speech tagging, syntactic parsing, etc.), (ii) using semantic criteria to facilitate the identification of collocations, (iii) multi-word structured, instead of the widespread assumption of bipartite collocational structures, for capturing the intricacies of the phenomenon of syntagmatic attraction, (iv) considering collocation and valency as near neighbours in the lexis-grammar continuum and (v) the mathematical properties of statistical association measures in the automatic extraction of collocations from corpora. This book is an ideal guide to the use of statistics in collocation analysis and lexicography, as well as a practical text to the development of skills in the application of computational lexicography. Lexical Collocation Analysis: Advances and Applications begins with a proposal for integrating both collocational and valency phenomena within the overarching theoretical framework of construction grammar. Next the book makes the case for integrating advances in syntactic parsing and in collocational analysis. Chapter 3 offers an innovative look at complementing corpus data and dictionaries in the identification of specific types of collocations consisting of restricted predicate-argument combinations. This strategy complements corpus collocational data with network analysis techniques applied to dictionary entries. Chapter 4 explains the potential of collocational graphs and networks both as a visualization tool and as an analytical technique. Chapter 5 introduces MERGE (Multi-word Expressions from the Recursive Grouping of Elements), a data-driven approach to the identification and extraction of multi-word expressions from corpora. Finally the book concludes with an analysis and evaluation of factors influencing the performance of collocation extraction methods in parsed corpora.

Word Frequency and Lexical Diffusion

2006-09-29
Word Frequency and Lexical Diffusion
Author: B. Phillips
Publisher: Springer
Total Pages: 267
Release: 2006-09-29
Genre: Language Arts & Disciplines
ISBN: 0230286615
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This study of word frequency effects on sound change provides a resolution of the Neogrammarian controversy. Betty S. Phillips discusses the implications for phonology and historical linguistics of certain types of change affecting the most frequent words first and other types of change affecting the least frequent words first.

Compiler Construction

2013
Compiler Construction
Author: K.V.N. Sunitha
Publisher: Pearson Education India
Total Pages: 472
Release: 2013
Genre: Compilers (Computer programs)
ISBN: 9332520127
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Designed for an introductory course, this text encapsulates the topics essential for a freshman course on compilers. The book provides a balanced coverage of both theoretical and practical aspects. The text helps the readers understand the process of compilation and proceeds to explain the design and construction of compilers in detail. The concepts are supported by a good number of compelling examples and exercises.

Semantic Analysis of Verbal Collocations with Lexical Functions

2012-08-09
Semantic Analysis of Verbal Collocations with Lexical Functions
Author: Alexander Gelbukh
Publisher: Springer
Total Pages: 153
Release: 2012-08-09
Genre: Technology & Engineering
ISBN: 3642287719
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This book is written for both linguists and computer scientists working in the field of artificial intelligence as well as to anyone interested in intelligent text processing. Lexical function is a concept that formalizes semantic and syntactic relations between lexical units. Collocational relation is a type of institutionalized lexical relations which holds between the base and its partner in a collocation. Knowledge of collocation is important for natural language processing because collocation comprises the restrictions on how words can be used together. The book shows how collocations can be annotated with lexical functions in a computer readable dictionary - allowing their precise semantic analysis in texts and their effective use in natural language applications including parsers, high quality machine translation, periphrasis system and computer-aided learning of lexica. The books shows how to extract collocations from corpora and annotate them with lexical functions automatically. To train algorithms, the authors created a dictionary of lexical functions containing more than 900 Spanish disambiguated and annotated examples which is a part of this book. The obtained results show that machine learning is feasible to achieve the task of automatic detection of lexical functions.