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Books > Language & Literature > Language & linguistics > Computational linguistics
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. Dedicated to Lotfi A. Zadeh on his one year death anniversary, the book goes beyond a pure commemorative text. Yet, it offers a fresh perspective on a number of relevant topics, such as computing with words, theory of perceptions, possibility theory, and decision-making in a fuzzy environment. Written by Zadeh's closest colleagues and friends, the different chapters are intended both as a timely reference guide and a source of inspiration for scientists, developers and researchers who have been dealing with fuzzy sets or would like to learn more about their potential for their future research.
Interpreting Motion presents an integrated perspective on how language structures constrain concepts of motion and how the world shapes the way motion is linguistically expressed. Natural language allows for efficient communication of elaborate descriptions of movement without requiring a precise specification of the motion. Interpreting Motion is the first book to analyze the semantics of motion expressions in terms of the formalisms of qualitative spatial reasoning. It shows how motion descriptions in language are mapped to trajectories of moving entities based on qualitative spatio-temporal relationships. The authors provide an extensive discussion of prior research on spatial prepositions and motion verbs, devoting chapters to the compositional semantics of motion sentences, the formal representations needed for computers to reason qualitatively about time, space, and motion, and the methodology for annotating corpora with linguistic information in order to train computer programs to reproduce the annotation. The applications they illustrate include route navigation, the mapping of travel narratives, question-answering, image and video tagging, and graphical rendering of scenes from textual descriptions. The book is written accessibly for a broad scientific audience of linguists, cognitive scientists, computer scientists, and those working in fields such as artificial intelligence and geographic information systems.
This book provides a refreshing perspective on the description, study and representation of consonant clusters in Polish. What are the sources of phonotactic complexity? What properties or principles motivate the phonological structure of initial and final consonant clusters? In answering these questions, a necessary turning point consists in investigating sequences of consonants at their most basic level, namely in terms of phonological features. The analysis is exploratory: it leads to discovering prevalent feature patterns in clusters from which new phonotactic generalizations are derived. A recurring theme in the book is that phonological features vary in weight depending on (1) their distribution in a cluster, (2) their position in a word, and (3) language domain. Positional feature weight reflects the relative importance of place, manner and voice features (e.g. coronal, dorsal, strident, continuant) in constructing cluster inventories, minimizing cognitive effort, facilitating production and triggering specific casual speech processes. Feature weights give rise to previously unidentified positional preferences. Rankings of features and preferences are a testing ground for principles of sonority, contrast, clarity of perception and ease of articulation. This volume addresses practitioners in the field seeking new methods of phonotactic modelling and approaches to complexity, as well as students interested in an overview of current research directions in the study of consonant clusters. Sequences of consonants in Polish are certainly among the most remarkable ones that readers will ever encounter in their linguistic explorations. In this volume, they will come to realise that hundreds of unusually long, odd-looking, sonority-violating, morphologically complex and infrequent clusters are in fact well-motivated and structured according to well-defined tactic patterns of features.
Parsing the Turing Test is a landmark exploration of both the philosophical and methodological issues surrounding the search for true artificial intelligence. Will computers and robots ever think and communicate the way humans do? When a computer crosses the threshold into self-consciousness, will it immediately jump into the Internet and create a World Mind? Will intelligent computers someday recognize the rather doubtful intelligence of human beings? Distinguished psychologists, computer scientists, philosophers, and programmers from around the world debate these weighty issues a " and, in effect, the future of the human race a " in this important volume.
The Natural Language for Artificial Intelligence presents the biological and logical structure typical of human language in its dynamic mediating process between reality and the human mind. The book explains linguistic functioning in the dynamic process of human cognition when forming meaning. After that, an approach to artificial intelligence (AI) is outlined, which works with a more restricted concept of natural language that leads to flaws and ambiguities. Subsequently, the characteristics of natural language and patterns of how it behaves in different branches of science are revealed to indicate ways to improve the development of AI in specific fields of science. A brief description of the universal structure of language is also presented as an algorithmic model to be followed in the development of AI. Since AI aims to imitate the process of the human mind, the book shows how the cross-fertilization between natural language and AI should be done using the logical-axiomatic structure of natural language adjusted to the logical-mathematical processes of the machine.
This book provides a state-of-the-art introduction to categorial grammar, a type of formal grammar which analyzes expressions as functions or according to a function-argument relationship. The book's focus is on linguistic, computational, and psycholinguistic aspects of logical categorial grammar, i.e. enriched Lambek Calculus. Glyn Morrill opens with the history and notation of Lambek Calculus and its application to syntax, semantics, and processing. Successive chapters extend the grammar to a number of significant syntactic and semantic properties of natural language. The final part applies Morrill's account to several current issues in processing and parsing, considered from both a psychological and a computational perspective. The book offers a rigorous and thoughtful study of one of the main lines of research in the formal and mathematical theory of grammar, and will be suitable for students of linguistics and cognitive science from advanced undergraduate level upwards.
This book provides a state-of-the-art introduction to categorial grammar, a type of formal grammar which analyzes expressions as functions or according to a function-argument relationship. The book's focus is on linguistic, computational, and psycholinguistic aspects of logical categorial grammar, i.e. enriched Lambek Calculus. Glyn Morrill opens with the history and notation of Lambek Calculus and its application to syntax, semantics, and processing. Successive chapters extend the grammar to a number of significant syntactic and semantic properties of natural language. The final part applies Morrill's account to several current issues in processing and parsing, considered from both a psychological and a computational perspective. The book offers a rigorous and thoughtful study of one of the main lines of research in the formal and mathematical theory of grammar, and will be suitable for students of linguistics and cognitive science from advanced undergraduate level upwards.
The contributions to this volume are drawn from the interdisciplinary research c- ried out within the Sonderforschungsbereich (SFB 378), a special long-term funding scheme of the German National Science Foundation (DFG). Sonderforschungsbe- ich 378 was situated at Saarland University, with colleagues from arti?cial intel- gence, computational linguistics, computer science, philosophy, psychology - and in its ?nal phases - cognitive neuroscience and psycholinguistics. The funding covered a period of 12 years, which was split into four phases of 3 years each, ending in December of 2007. Every sub-period culminated in an intensive reviewing process, comprising written reports as well as on-site p- sentations and demonstrations to the external reviewers. We are most grateful to these reviewers for their extensive support and critical feedback; they contributed 1 their time and labor freely to the DFG, the independent and self-organized ins- tution of German scientists. The ?nal evaluation of the DFG reviewers judged the overall performance and the actual work with the highest possible mark, i.e. "excellent".
This book traces the history of language technology from writing -
the first technology specifically designed for language - to
digital speech and other contemporary language systems. The book
describes the social impact of technological developments over five
millennia, and addresses topics such as the ways in which literacy
has influenced cognitive and scientific development; the social
impact of modern speech technology; the influence of various
printing technologies; the uses and limitations of machine
translation; how far mass information access is a means for
exploitation or enlightenment; the deciphering of ancient scripts;
and technical aids for people with language disabilities.
The book gives a comprehensive discussion of Database Semantics (DBS) as an agent-based data-driven theory of how natural language communication essentially works. In language communication, agents switch between speak mode, driven by cognition-internal content (input) resulting in cognition-external raw data (e.g. sound waves or pixels, which have no meaning or grammatical properties but can be measured by natural science), and hear mode, driven by the raw data produced by the speaker resulting in cognition-internal content. The motivation is to compare two approaches for an ontology of communication: agent-based data-driven vs. sign-based substitution-driven. Agent-based means: design of a cognitive agent with (i) an interface component for converting raw data into cognitive content (recognition) and converting cognitive content into raw data (action), (ii) an on-board, content-addressable memory (database) for the storage and content retrieval, (iii) separate treatments of the speak and the hear mode. Data-driven means: (a) mapping a cognitive content as input to the speak-mode into a language-dependent surface as output, (b) mapping a surface as input to the hear-mode into a cognitive content as output. Oppositely, sign-based means: no distinction between speak and hear mode, whereas substitution-driven means: using a single start symbol as input for generating infinitely many outputs, based on substitutions by rewrite rules. Collecting recent research of the author, this beautiful, novel and original exposition begins with an introduction to DBS, makes a linguistic detour on subject/predicate gapping and slot-filler repetition, and moves on to discuss computational pragmatics, inference and cognition, grammatical disambiguation and other related topics. The book is mostly addressed to experts working in the field of computational linguistics, as well as to enthusiasts interested in the history and early development of this subject, starting with the pre-computational foundations of theoretical computer science and symbolic logic in the 30s.
This book introduces the most important problems of reference and
considers the solutions that have been proposed to explain them.
Reference is at the centre of debate among linguists and
philosophers and, as Barbara Abbott shows, this has been the case
for centuries. She begins by examining the basic issue of how far
reference is a two place (words-world) or a three place
(speakers-words-world) relation. She then discusses the main
aspects of the field and the issues associated with them, including
those concerning proper names; direct reference and individual
concepts; the difference between referential and quantificational
descriptions; pronouns and indexicality; concepts like definiteness
and strength; and noun phrases in discourse.
This book explores the empirical and theoretical aspects of
constituent structure in natural language syntax. It surveys a wide
variety of functionalist and formalist theoretical approaches, from
dependency grammars and Relational Grammar to Lexical Functional
Grammar, Head-driven Phrase Structure Grammar, and Minimalism. It
describes the traditional tests for constituency and the formal
means for representing them in phrase structure grammars, extended
phrase structure grammars, X-bar theory, and set theoretic bare
phrase structure. In doing so it provides a clear, thorough, and
rigorous axiomatic description of the structural properties of
constituent trees.
This is a book about semantic theories of modality. Its main goal
is to explain and evaluate important contemporary theories within
linguistics and to discuss a wide range of linguistic phenomena
from the perspective of these theories. The introduction describes
the variety of grammatical phenomena associated with modality,
explaining why modal verbs, adjectives, and adverbs represent the
core phenomena. Chapters are then devoted to the possible worlds
semantics for modality developed in modal logic; current theories
of modal semantics within linguistics; and the most important
empirical areas of research. The author concludes by discussing the
relation between modality and other topics, especially tense,
aspect, mood, and discourse meaning.
This book considers how people talk about the location of objects and places. Spatial language has occupied many researchers across diverse fields, such as linguistics, psychology, GIScience, architecture, and neuroscience. However, the vast majority of work in this area has examined spatial language in monologue situations, and often in highly artificial and restricted settings. Yet there is a growing recognition in the language research community that dialogue rather than monologue should be a starting point for language understanding. Hence, the current zeitgeist in both language research and robotics/AI demands an integrated examination of spatial language in dialogue settings. The present volume provides such integration for the first time and reports on the latest developments in this important field. Written in a way that will appeal to researchers across disciplines from graduate level upwards, the book sets the agenda for future research in spatial conceptualization and communication.
In this book, Peter Culicover introduces the analysis of natural
language within the broader question of how language works - of how
people use languages to configure words and morphemes in order to
express meanings. He focuses both on the syntactic and
morphosyntactic devices that languages use, and on the conceptual
structures that correspond to particular aspects of linguistic
form. He seeks to explain linguistic forms and in the process to
show how these correspond with meanings.
This book addresses the research, analysis, and description of the methods and processes that are used in the annotation and processing of language corpora in advanced, semi-advanced, and non-advanced languages. It provides the background information and empirical data needed to understand the nature and depth of problems related to corpus annotation and text processing and shows readers how the linguistic elements found in texts are analyzed and applied to develop language technology systems and devices. As such, it offers valuable insights for researchers, educators, and students of linguistics and language technology.
In Language and Chronology, Toner and Han apply innovative Machine Learning techniques to the problem of the dating of literary texts. Many ancient and medieval literatures lack reliable chronologies which could aid scholars in locating texts in their historical context. The new machine-learning method presented here uses chronological information gleaned from annalistic records to date a wide range of texts. The method is also applied to multi-layered texts to aid the identification of different chronological strata within single copies. While the algorithm is here applied to medieval Irish material of the period c.700-c.1700, it can be extended to written texts in any language or alphabet. The authors' approach presents a step change in Digital Humanities, moving us beyond simple querying of electronic texts towards the production of a sophisticated tool for literary and historical studies.
This book is the first comprehensive presentation of Functional
Discourse Grammar, a new and important theory of language
structure. The authors set out its nature and origins and show how
it relates to contemporary linguistic theory. They demonstrate and
test its explanatory power and descriptive utility against
linguistic facts from over 150 languages across a wide range of
linguistic families.
This book presents recent advances in NLP and speech technology, a topic attracting increasing interest in a variety of fields through its myriad applications, such as the demand for speech guided touchless technology during the Covid-19 pandemic. The authors present results of recent experimental research that provides contributions and solutions to different issues related to speech technology and speech in industry. Technologies include natural language processing, automatic speech recognition (for under-resourced dialects) and speech synthesis that are useful for applications such as intelligent virtual assistants, among others. Applications cover areas such as sentiment analysis and opinion mining, Arabic named entity recognition, and language modelling. This book is relevant for anyone interested in the latest in language and speech technology.
This important contribution to the Minimalist Program offers a
comprehensive theory of locality and new insights into phrase
structure and syntactic cartography. It unifies central components
of the grammar and increases the symmetry in syntax. Its central
hypothesis has broad empirical application and at the same time
reinforces the central premise of minimalism that language is an
optimal system.
Novel Techniques for Dialectal Arabic Speech describes approaches to improve automatic speech recognition for dialectal Arabic. Since speech resources for dialectal Arabic speech recognition are very sparse, the authors describe how existing Modern Standard Arabic (MSA) speech data can be applied to dialectal Arabic speech recognition, while assuming that MSA is always a second language for all Arabic speakers. In this book, Egyptian Colloquial Arabic (ECA) has been chosen as a typical Arabic dialect. ECA is the first ranked Arabic dialect in terms of number of speakers, and a high quality ECA speech corpus with accurate phonetic transcription has been collected. MSA acoustic models were trained using news broadcast speech. In order to cross-lingually use MSA in dialectal Arabic speech recognition, the authors have normalized the phoneme sets for MSA and ECA. After this normalization, they have applied state-of-the-art acoustic model adaptation techniques like Maximum Likelihood Linear Regression (MLLR) and Maximum A-Posteriori (MAP) to adapt existing phonemic MSA acoustic models with a small amount of dialectal ECA speech data. Speech recognition results indicate a significant increase in recognition accuracy compared to a baseline model trained with only ECA data.
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. It combines linguistic analysis with application of finite-state technology to processing of the language. The book opens with the author's synoptic overview of the main lines of research, covers the properties of the word and its components, then moves up to the description of Georgian morphosyntax and the morphological analyzer and generator of Georgian.The book comprises three chapters and accompanying appendices. The aim of the first chapter is to describe the morphosyntactic structure of Georgian, focusing on differences between Old and Modern Georgian. The second chapter focuses on the application of finite-state technology to the processing of Georgian and on the compilation of a tokenizer, a morphological analyzer and a generator for Georgian. The third chapter discusses the testing and evaluation of the analyzer's output and the compilation of the Georgian Language Corpus (GLC), which is now accessible online and freely available to the research community.Since the development of the analyzer, the field of computational linguistics has advanced in several ways, but the majority of new approaches to language processing has not been tested on Georgian. So, the organization of the book makes it easier to handle new developments from both a theoretical and practical viewpoint.The book includes a detailed index and references as well as the full list of morphosyntactic tags. It will be of interest and practical use to a wide range of linguists and advanced students interested in Georgian morphosyntax generally as well as to researchers working in the field of computational linguistics and focusing on how languages with complicated morphosyntax can be handled through finite-state approaches.
This book is about the nature of expression in speech. It is a comprehensive exploration of how such expression is produced and understood, and of how the emotional content of spoken words may be analysed, modelled, tested, and synthesized. Listeners can interpret tone-of-voice, assess emotional pitch, and effortlessly detect the finest modulations of speaker attitude; yet these processes present almost intractable difficulties to the researchers seeking to identify and understand them. In seeking to explain the production and perception of emotive content, Mark Tatham and Katherine Morton review the potential of biological and cognitive models. They examine how the features that make up the speech production and perception systems have been studied by biologists, psychologists, and linguists, and assess how far biological, behavioural, and linguistic models generate hypotheses that provide insights into the nature of expressive speech. The authors use recent techniques in speech synthesis and automatic speech recognition as a test bed for models of expression in speech.Acknowledging that such testing presupposes a comprehensive computational model of speech production, they put forward original proposals for its foundations and show how the relevant data structures may be modelled within its framework. This pioneering book will be of central interest to researchers in linguistics and in speech science, pathology, and technology. It will also be valuable for behavioural and cognitive scientists wanting to know more about this vital and elusive aspect of human behaviour.
In this pioneering book Katarzyna Jaszczolt lays down the
foundations of an original theory of meaning in discourse, reveals
the cognitive foundations of discourse interpretation, and puts
forward a new basis for the analysis of discourse processing. She
provides a step-by-step introduction to the theory and its
application, and explains new terms and formalisms as required. Dr.
Jaszczolt unites the precision of truth-conditional, dynamic
approaches with insights from neo-Gricean pragmatics into the role
of speaker's intentions in communication. She shows that the
compositionality of meaning may be understood as merger
representations combining information from various sources
including word meaning and sentence structure, various kinds of
default interpretations, and conscious pragmatic inference.
This book presents a collection of original research articles that showcase the state of the art of research in corpus and computational linguistic approaches to Chinese language teaching, learning and assessment. It offers a comprehensive set of corpus resources and natural language processing tools that are useful for teaching, learning and assessing Chinese as a second or foreign language; methods for implementing such resources and techniques in Chinese pedagogy and assessment; as well as research findings on the effectiveness of using such resources and techniques in various aspects of Chinese pedagogy and assessment. |
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