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Computational linguistics

See below for a selection of the latest books from Computational linguistics category. Presented with a red border are the Computational linguistics books that have been lovingly read and reviewed by the experts at Lovereading. With expert reading recommendations made by people with a passion for books and some unique features Lovereading will help you find great Computational linguistics books and those from many more genres to read that will keep you inspired and entertained. And it's all free!

An Introduction to Corpus Linguistics

An Introduction to Corpus Linguistics

Author: David Oakey Format: Paperback / softback Release Date: 08/12/2020

Divided into two main sections, this book introduces corpus linguistics to a student readership who have grown up in the era of ubiquitous computing, internet search and social media. The first section presents the theoretical and methodological basics. The second section takes students through a series of case studies, with exercises, showing how corpora can offer insights into linguistic theory, namely lexis, grammar, and lexico-grammar. It shows how corpora can provide them with descriptions of language in use, in different contexts, such as academic discourse and text messages; and how corpora can be used to study and assess language acquisition and learning. It then brings the recalibrated perspective to bear on current large-scale corpus applications such as data mining, sentiment analysis, and web-as-corpus. A companion website provides links to free online corpora and software, and also contains academic English language and study skills exercises aimed at non-native English speaking readers developed using the book itself as a corpus.

Multi-Dimensional Analysis

Multi-Dimensional Analysis

Author: Tony Berber (Sao Paulo Catholic University, Brazil) Sardinha Format: Paperback / softback Release Date: 17/09/2020

Multi-Dimensional Analysis: Research Methods and Current Issues provides a comprehensive guide both to the statistical methods in Multi-Dimensional Analysis (MDA) and its key elements, such as corpus building, tagging, and tools. The major goal is to explain the steps involved in the method so that readers may better understand this complex research framework and conduct MD research on their own. Multi-Dimensional Analysis is a method that allows the researcher to describe different registers (textual varieties defined by their social use) such as academic settings, regional discourse, social media, movies, and pop songs. Through multivariate statistical techniques, MDA identifies complementary correlation groupings of dozens of variables, including variables which belong both to the grammatical and semantic domains. Such groupings are then associated with situational variables of texts like information density, orality, and narrativity to determine linguistic constructs known as dimensions of variation, which provide a scale for the comparison of a large number of texts and registers. This book is a comprehensive research guide to MDA.

Transferring Information Literacy Practices

Transferring Information Literacy Practices

Author: Billy Tak Hoi Leung, Jingzhen Xie, Linlin Geng, Priscilla Nga Ian Pun Format: Paperback / softback Release Date: 14/08/2020

This book focuses on information literacy for the younger generation of learners and library readers. It is divided into four sections: 1. Information Literacy for Life; 2. Searching Strategies, Disciplines and Special Topics; 3. Information Literacy Tools for Evaluating and Utilizing Resources; 4. Assessment of Learning Outcomes. Written by librarians with wide experience in research and services, and a strong academic background in disciplines such as the humanities, social sciences, information technology, and library science, this valuable reference resource combines both theory and practice. In today's ever-changing era of information, it offers students of library and information studies insights into information literacy as well as learning tips they can use for life.

Applying Language Technology in Humanities Research

Applying Language Technology in Humanities Research

Author: Barbara McGillivray, Gabor Mihaly Toth Format: Hardback Release Date: 14/07/2020

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. The landscape of humanities research has recently changed thanks to the proliferation of big data and large textual collections such as Google Books, Early English Books Online, and Project Gutenberg. These resources have yet to be fully explored by new generations of scholars, and the authors argue that Language Technology has a key role to play in the exploration of large-scale textual data. The authors use a series of illustrative examples from various humanistic disciplines (mainly but not exclusively from History, Classics, and Literary Studies) to demonstrate basic and more complex use-case scenarios. This book will be useful to graduate students and researchers in humanistic disciplines working with textual data, including History, Modern Languages, Literary studies, Classics, and Linguistics. This is also a very useful book for anyone teaching or learning Digital Humanities and interested in the basic concepts from computational linguistics, corpus linguistics, and natural language processing.

Speech Translation Systems

Speech Translation Systems

Author: Satoshi Nakamura Format: Hardback Release Date: 10/06/2020

This book shows the state-of-the-art technologies for speech translation and a wide variety of evaluation results, including field experiments conducted at the Kansai International Airport. Recent advancement in transportations and communications has brought us borderless strong ties in economic and cultural relations worldwide. ATR (Advanced Telecommunications Research Institute International) has been pioneering Speech-to-Speech Translation technologies since 1986. This book is the result of intensive research of ATR scientists. In particular, it presents the yield of recent five-year projects on a corpus-based speech-to-speech translation system for travel conversation, funded by the Japanese government.

Python for Linguists

Python for Linguists

Author: Michael (University of Arizona) Hammond Format: Hardback Release Date: 07/05/2020

Specifically designed for linguists, this book provides an introduction to programming using Python for those with little to no experience of coding. Python is one of the most popular and widely-used programming languages as it's also available for free and runs on any operating system. All examples in the text involve language data and can be adapted or used directly for language research. The text focuses on key language-related issues: searching, text manipulation, text encoding and internet data, providing an excellent resource for language research. More experienced users of Python will also benefit from the advanced chapters on graphical user interfaces and functional programming.

Python for Linguists

Python for Linguists

Author: Michael (University of Arizona) Hammond Format: Paperback / softback Release Date: 07/05/2020

Specifically designed for linguists, this book provides an introduction to programming using Python for those with little to no experience of coding. Python is one of the most popular and widely-used programming languages as it's also available for free and runs on any operating system. All examples in the text involve language data and can be adapted or used directly for language research. The text focuses on key language-related issues: searching, text manipulation, text encoding and internet data, providing an excellent resource for language research. More experienced users of Python will also benefit from the advanced chapters on graphical user interfaces and functional programming.

The Prosody of Formulaic Sequences

The Prosody of Formulaic Sequences

Author: Phoebe (Hong Kong Polytechnic University, Hong Kong) Lin Format: Paperback / softback Release Date: 19/03/2020

To apply the same approaches to analysing spoken and written formulaic language is problematic; to do so masks the fact that the contextual meaning of spoken formulaic language is encoded, to a large extent, in its prosody. In The Prosody of Formulaic Sequences, Phoebe Lin offers a new perspective on formulaic language, arguing that while past research often treats formulaic language as a lexical phenomenon, the phonological aspect of it is a more fundamental facet. This book draws its conclusions from three original, empirical studies of spoken formulaic language, assessing intonation unit boundaries as well as features such as tempo and stress placement. Across all studies, Lin considers questions of methodology and conceptual framework. The corpus-based descriptions of prosody outlined in this book not only deepen our understanding of the nature of formulaic language but have important implications for English Language Teaching and automatic speech synthesis.

Neural Networks for Natural Language Processing

Neural Networks for Natural Language Processing

Author: Sumathi S. Format: Hardback Release Date: 30/12/2019

Information in today's advancing world is rapidly expanding and becoming widely available. This eruption of data has made handling it a daunting and time-consuming task. Natural language processing (NLP) is a method that applies linguistics and algorithms to large amounts of this data to make it more valuable. NLP improves the interaction between humans and computers, yet there remains a lack of research that focuses on the practical implementations of this trending approach. Neural Networks for Natural Language Processing is a collection of innovative research on the methods and applications of linguistic information processing and its computational properties. This publication will support readers with performing sentence classification and language generation using neural networks, apply deep learning models to solve machine translation and conversation problems, and apply deep structured semantic models on information retrieval and natural language applications. While highlighting topics including deep learning, query entity recognition, and information retrieval, this book is ideally designed for research and development professionals, IT specialists, industrialists, technology developers, data analysts, data scientists, academics, researchers, and students seeking current research on the fundamental concepts and techniques of natural language processing.

Natural Language Understanding and Cognitive Robotics

Natural Language Understanding and Cognitive Robotics

Author: Masao (Fukuoka Institute of Technology, Japan) Yokota Format: Hardback Release Date: 28/10/2019

In the not so distant future, we can expect a world where humans and robots coexist and interact with each other. For this to occur, we need to understand human traits, such as seeing, hearing, thinking, speaking, etc., and institute these traits in robots. The most essential feature necessary for robots to achieve is that of integrative multimedia understanding (IMU) which occurs naturally in humans. It allows us to assimilate pieces of information expressed through different modes such as speech, pictures, gestures, etc. The book describes how robots acquire traits like natural language understanding (NLU) as the central part of IMU. Mental image directed semantic theory (MIDST) is its core, and is based on the hypothesis that NLU is essentially the processing of mental image associated with natural language expressions, namely, mental-image based understanding (MBU). MIDST is intended to model omnisensory mental image in human and to afford a knowledge representation system in order for integrative management of knowledge subjective to cognitive mechanisms of intelligent entities such as humans and robots based on a mental image model visualized as 'Loci in Attribute Spaces' and its description language Lmd (mental image description language) to be employed for predicate logic with a systematic scheme for symbol-grounding. This language works as an interlingua among various kinds of information media, and has been applied to several versions of the intelligent system interlingual understanding model aiming at general system (IMAGES). Its latest version, i.e. conversation management system (CMS) simulates MBU and comprehends the user's intention through dialogue to find and solve problems, and finally, provides a response in text or animation. The book is aimed at researchers and students interested in artificial intelligence, robotics, and cognitive science. Based on philosophical considerations, the methodology will also have an appeal in linguistics, psychology, ontology, geography, and cartography. Key Features: Describes the methodology to provide robots with human-like capability of natural language understanding (NLU) as the central part of IMU Uses methodology that also relates to linguistics, psychology, ontology, geography, and cartography Examines current trends in machine translation

Minimalist Parsing

Minimalist Parsing

This book is the first dedicated to linguistic parsing - the processing of natural language according to the rules of a formal grammar - in the Minimalist Program. While Minimalism has been at the forefront of generative grammar for several decades, it often remains inaccessible to computer scientists and others in adjacent fields. This volume makes connections with standard computational architectures, provides efficient implementations of some fundamental minimalist accounts of syntax, explores implementations of recent theoretical proposals, and explores correlations between posited structures and measures of neural activity during human language comprehension. These studies will appeal to graduate students and researchers in formal syntax, computational linguistics, psycholinguistics, and computer science.

Minimalist Parsing

Minimalist Parsing

This book is the first dedicated to linguistic parsing - the processing of natural language according to the rules of a formal grammar - in the Minimalist Program. While Minimalism has been at the forefront of generative grammar for several decades, it often remains inaccessible to computer scientists and others in adjacent fields. This volume makes connections with standard computational architectures, provides efficient implementations of some fundamental minimalist accounts of syntax, explores implementations of recent theoretical proposals, and explores correlations between posited structures and measures of neural activity during human language comprehension. These studies will appeal to graduate students and researchers in formal syntax, computational linguistics, psycholinguistics, and computer science.