Computational and corpus linguistics

This unique book provides a comprehensive introduction to the most popular syntax-based statistical machine translation models, filling a gap in the current literature for researchers and developers in human language technologies.

This book covers the topic of temporal tagging, the detection of temporal expressions and the normalization of their semantics to some standard format.

The literary imagination may take flight on the wings of metaphor, but hard-headed scientists are just as likely as doe-eyed poets to reach for a metaphor when the descriptive need arises.

This book provides a thorough introduction to the subfield of theoretical computer science known as grammatical inference from a computational linguistic perspective.

The attempt to spot deception through its correlates in human behavior has a long history.

It has been estimated that over a billion people are using or learning English as a second or foreign language, and the numbers are growing not only for English but for other languages as well.

The World Wide Web constitutes the largest existing source of texts written in a great variety of languages.

In the last few years, a number of NLP researchers have developed and participated in the task of Recognizing Textual Entailment (RTE).

Many NLP tasks have at their core a subtask of extracting the dependencies-who did what to whom-from natural language sentences.

This book introduces basic supervised learning algorithms applicable to natural language processing (NLP) and shows how the performance of these algorithms can often be improved by exploiting the marginal distribution of large amounts of unlabeled data.

People make sense of a text by identifying the semantic relations which connect the entities or concepts described by that text.

More and more historical texts are becoming available in digital form.

Discourse Processing here is framed as marking up a text with structural descriptions on several levels, which can serve to support many language-processing or text-mining tasks.

A major part of natural language processing now depends on the use of text data to build linguistic analyzers.

This book provides an overview of various techniques for the alignment of bitexts.

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.

Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in commerce, science, and computing applications.

This book is aimed at providing an overview of several aspects of semantic role labeling.

Considerable progress has been made in recent years in the development of dialogue systems that support robust and efficient human-machine interaction using spoken language.

This book introduces Chinese language-processing issues and techniques to readers who already have a basic background in natural language processing (NLP).

Linguistic annotation and text analytics are active areas of research and development, with academic conferences and industry events such as the Linguistic Annotation Workshops and the annual Text Analytics Summits.

Dependency-based methods for syntactic parsing have become increasingly popular in natural language processing in recent years.

As online information grows dramatically, search engines such as Google are playing a more and more important role in our lives.

Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written language.

Human language acquisition has been studied for centuries, but using computational modeling for such studies is a relatively recent trend.

Search for information is no longer exclusively limited within the native language of the user, but is more and more extended to other languages.

This SpringerBrief presents the data- information-and-time (DIT) model that precisely clarifies the semantics behind the terms data, information and their relations to the passage of real time.

Computers are essential for the functioning of our society.

This handbook provides a comprehensive account of current research on the finite-state morphology of Georgian and enables the reader to enter quickly into Georgian morphosyntax and its computational processing.

The book covers theoretical work, approaches, applications, and techniques for computational models of information, language, and reasoning.

This book furthers the historical and technical debate by looking at reasoning as the action of language when it is devoted to explaining or foretelling, based on the authors' centennial combined experience in fuzzy logic.

The book presents current research and developments in multilingual speech recognition.

This book provides insights into how deep learning techniques impact language and speech processing applications.

This book explores how corpus linguistic techniques can be applied to close analysis of videogames as a text, particularly examining how language is used to construct representations of gender in fantasy videogames.

When viewed through a political lens, the act of defining terms in natural language arguably transforms knowledge into values.

This case study-based textbook in multivariate analysis for advanced students in the humanities emphasizes descriptive, exploratory analyses of various types of datasets from a wide range of sub-disciplines, promoting the use of multivariate analysis and illustrating its wide applicability.

This book covers theoretical work, applications, approaches, and techniques for computational models of information and its presentation by language (artificial, human, or natural in other ways).

This book explores some of the ethical, legal, and social implications of chatbots, or conversational artificial agents.

This book deals with two fundamental issues in the semiotics of the image.

Focusing on methodologies, applications and challenges of textual data analysis and related fields, this book gathers selected and peer-reviewed contributions presented at the 14th International Conference on Statistical Analysis of Textual Data (JADT 2018), held in Rome, Italy, on June 12-15, 2018.

This book presents methods and approaches used to identify the true author of a doubtful document or text excerpt.

This book presents the concept of the double hierarchy linguistic term set and its extensions, which can deal with dynamic and complex decision-making problems.

This volume offers a diachronic sociolinguistic perspective on one of the most complex and fascinating variable speech phenomena in contemporary French.

This book offers a comprehensive treatment of the city image in the Hebrew Bible, with specific attention to stylistics.

This book presents established and state-of-the-art methods in Language Technology (including text mining, corpus linguistics, computational linguistics, and natural language processing), and demonstrates how they can be applied by humanities scholars working with textual data.

This handbook is a comprehensive practical resource on corpus linguistics.

This book explains speech enhancement in the Fractional Fourier Transform (FRFT) domain and investigates the use of different FRFT algorithms in both single channel and multi-channel enhancement systems, which has proven to be an ideal time frequency analysis tool in many speech signal processing applications.

This book builds on decades of research and provides contemporary theoretical foundations for practical applications to intelligent technologies and advances in artificial intelligence (AI).

Now in its second edition, Text Analysis with R provides a practical introduction to computational text analysis using the open source programming language R.

This book provides a timely and comprehensive overview of current theories and methods in fuzzy logic, as well as relevant applications in a variety of fields of science and technology.