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Format: 1 online resource (635 pages)

ISBN: 9783319442341

Note: Intro -- Foreword -- Preface -- Contents -- 1 Water Resources Planning and Management: An Overview -- 1.1 Introduction -- 1.2 Planning and Management Issues: Some Case Studies -- 1.2.1 Kurds Seek Land, Turks Want Water -- 1.2.2 Sharing the Water of the Jordan River Basin: Is There a Way? -- 1.2.3 Mending the "Mighty and Muddy" Missouri -- 1.2.4 The Endangered Salmon -- 1.2.5 Wetland Preservation: A Groundswell of Support and Criticism -- 1.2.6 Lake Source Cooling: Aid to Environment, or Threat to Lake? -- 1.2.7 Managing Water in the Florida Everglades -- 1.2.8 Restoration of Europe's Rivers and Seas -- 1.2.8.1 North and Baltic Seas -- 1.2.8.2 The Rhine -- 1.2.8.3 The Danube -- 1.2.9 Flood Management on the Senegal River -- 1.2.10 Nile Basin Countries Striving to Share Its Benefits -- 1.2.11 Shrinking Glaciers at Top of the World -- 1.2.12 China, a Thirsty Nation -- 1.2.13 Managing Sediment in China's Yellow River -- 1.2.14 Damming the Mekong (S.E. Asia), the Amazon, and the Congo -- 1.3 So, Why Plan, Why Manage? -- 1.3.1 Too Little Water -- 1.3.2 Too Much Water -- 1.3.3 Too Polluted -- 1.3.4 Too Expensive -- 1.3.5 Ecosystem Too Degraded -- 1.3.6 Other Planning and Management Issues -- 1.3.6.1 Navigation -- 1.3.6.2 River Bank Erosion -- 1.3.6.3 Reservoir Related Issues -- 1.4 System Planning Scales -- 1.4.1 Spatial Scales for Planning and Management -- 1.4.2 Temporal Scales for Planning and Management -- 1.5 Planning and Management Approaches -- 1.5.1 Top-Down Planning and Management -- 1.5.2 Bottom-Up Planning and Management -- 1.5.3 Integrated Water Resources Management -- 1.5.4 Water Security and the Sustainable Development Goals (SDGs) -- 1.5.5 Planning and Management Aspects -- 1.5.5.1 Technical -- 1.5.5.2 Financial and Economic -- 1.5.5.3 Institutional and Governance -- 1.5.5.4 Models for Impact Prediction and Evaluation. , 1.5.5.5 Models for Shared Vision or Consensus Building -- 1.5.5.6 Models for Adaptive Management -- 1.6 Planning and Management Characteristics -- 1.6.1 Integrated Policies and Development Plans -- 1.6.2 Sustainability -- 1.7 Meeting the Planning and Management Challenges-A Summary -- References -- Additional References (Further Reading) -- Exercises -- 2 Water Resource Systems Modeling: Its Role in Planning and Management -- 2.1 Introduction -- 2.2 Modeling Water Resource Systems -- 2.2.1 An Example Modeling Approach -- 2.2.2 Characteristics of Problems to be Modeled -- 2.3 Challenges Involving Modeling -- 2.3.1 Challenges of Planners and Managers -- 2.3.2 Challenges of Modelers -- 2.3.3 Challenges of Applying Models in Practice -- 2.3.4 Evaluating Modeling Success -- 2.4 Developments in Modeling -- 2.4.1 Technology -- 2.4.2 Algorithms -- 2.4.3 Interactive Model-Building Environments -- 2.4.4 Open Modeling Systems -- 2.5 Conclusions -- References -- Additional References (Further Reading) -- Exercises -- 3 Models for Identifying and Evaluating Alternatives -- 3.1 Introduction -- 3.1.1 Model Components -- 3.2 Plan Formulation and Selection -- 3.2.1 Plan Formulation -- 3.2.2 Plan Selection -- 3.3 Conceptual Model Development -- 3.4 Simulation and Optimization -- 3.4.1 Simulating a Simple Water Resources System -- 3.4.2 Defining What to Simulate -- 3.4.3 Simulation Versus Optimization -- 3.5 Conclusions -- Additional References (Further Reading) -- Exercises -- 4 An Introduction to Optimization Models and Methods -- 4.1 Introduction -- 4.2 Comparing Time Streams of Economic Benefits and Costs -- 4.2.1 Interest Rates -- 4.2.2 Equivalent Present Value -- 4.2.3 Equivalent Annual Value -- 4.3 Nonlinear Optimization Models and Solution Procedures -- 4.3.1 Solution Using Calculus -- 4.3.2 Solution Using Hill Climbing. , 4.3.3 Solution Using Lagrange Multipliers -- 4.3.3.1 Approach -- 4.3.3.2 Meaning of Lagrange Multiplier λ -- 4.4 Dynamic Programming -- 4.4.1 Dynamic Programming Networks and Recursive Equations -- 4.4.2 Backward-Moving Solution Procedure -- 4.4.3 Forward-Moving Solution Procedure -- 4.4.4 Numerical Solutions -- 4.4.5 Dimensionality -- 4.4.6 Principle of Optimality -- 4.4.7 Additional Applications -- 4.4.7.1 Capacity Expansion -- 4.4.7.2 Reservoir Operation -- 4.4.8 General Comments on Dynamic Programming -- 4.5 Linear Programming -- 4.5.1 Reservoir Storage Capacity-Yield Models -- 4.5.2 A Water Quality Management Problem -- 4.5.2.1 Model Calibration -- 4.5.2.2 Management Model -- 4.5.3 A Groundwater Supply Example -- 4.5.3.1 A Simplified Model -- 4.5.3.2 A More Detailed Model -- 4.5.3.3 An Extended Model -- 4.5.3.4 Piecewise Linear Model -- 4.5.4 A Review of Linearization Methods -- 4.6 A Brief Review -- Additional References (Further Reading) -- Exercises -- 5 Data-Fitting, Evolutionary, and Qualitative Modeling -- 5.1 Introduction -- 5.2 Artificial Neural Networks -- 5.2.1 The Approach -- 5.2.2 An Example -- 5.3 Evolutionary Algorithms -- 5.3.1 Genetic Algorithms -- 5.3.2 Example Iterations -- 5.3.3 Differential Evolution -- 5.3.4 Covariance Matrix Adaptation Evolution Strategy -- 5.4 Genetic Programming -- 5.5 Qualitative Functions and Modeling -- 5.5.1 Linguistic Functions -- 5.5.2 Membership Functions -- 5.5.3 Illustrations of Qualitative Modeling -- 5.5.3.1 Water Allocation -- 5.5.3.2 Qualitative Reservoir Storage and Release Targets -- 5.5.3.3 Qualitative Water Quality Management Objectives and Constraints -- 5.6 Conclusions -- References -- Additional References (Further Reading) -- Exercises -- 6 An Introduction to Probability, Statistics, and Uncertainty -- 6.1 Introduction -- 6.2 Probability Concepts and Methods. , 6.2.1 Random Variables and Distributions -- 6.2.2 Expected Values -- 6.2.3 Quantiles, Moments, and Their Estimators -- 6.2.4 L-Moments and Their Estimators -- 6.3 Distributions of Random Events -- 6.3.1 Parameter Estimation -- 6.3.2 Model Adequacy -- 6.3.3 Normal and Lognormal Distributions -- 6.3.4 Gamma Distributions -- 6.3.5 Log-Pearson Type 3 Distribution -- 6.3.6 Gumbel and GEV Distributions -- 6.3.7 L-Moment Diagrams -- 6.4 Analysis of Censored Data -- 6.5 Regionalization and Index-Flood Method -- 6.6 Partial Duration Series -- 6.7 Stochastic Processes and Time Series -- 6.7.1 Describing Stochastic Processes -- 6.7.2 Markov Processes and Markov Chains -- 6.7.3 Properties of Time Series Statistics -- 6.8 Synthetic Streamflow Generation -- 6.8.1 Introduction -- 6.8.2 Streamflow Generation Models -- 6.8.3 A Simple Autoregressive Model -- 6.8.4 Reproducing the Marginal Distribution -- 6.8.5 Multivariate Models -- 6.8.6 Multiseason, Multisite Models -- 6.8.6.1 Disaggregation Model -- 6.8.6.2 Aggregation Models -- 6.9 Stochastic Simulation -- 6.9.1 Generating Random Variables -- 6.9.2 River Basin Simulation -- 6.9.3 The Simulation Model -- 6.9.4 Simulation of the Basin -- 6.9.5 Interpreting Simulation Output -- 6.10 Conclusions -- References -- Additional References (Further Reading) -- Exercises -- 7 Modeling Uncertainty -- 7.1 Introduction -- 7.2 Generating Values from Known Probability Distributions -- 7.3 Monte Carlo Simulation -- 7.4 Chance Constrained Models -- 7.5 Markov Processes and Transition Probabilities -- 7.6 Stochastic Optimization -- 7.6.1 Probabilities of Decisions -- 7.6.2 A Numerical Example -- 7.7 Summary -- Additional References (Further Reading) -- Exercises -- 8 System Sensitivity and Uncertainty Analysis -- 8.1 Introduction -- 8.2 Issues, Concerns, and Terminology -- 8.3 Variability and Uncertainty in Model Output. , 8.3.1 Natural Variability -- 8.3.2 Knowledge Uncertainty -- 8.3.2.1 Parameter Value Uncertainty -- 8.3.2.2 Model Structural and Computational Errors -- 8.3.3 Decision Uncertainty -- 8.3.3.1 Surprises -- 8.4 Sensitivity and Uncertainty Analyses -- 8.4.1 Uncertainty Analyses -- 8.4.1.1 Model and Model Parameter Uncertainties -- 8.4.1.2 What Uncertainty Analysis Can Provide -- 8.4.2 Sensitivity Analyses -- 8.4.2.1 Sensitivity Coefficients -- 8.4.2.2 A Simple Deterministic Sensitivity Analysis Procedure -- 8.4.2.3 Multiple Errors and Interactions -- 8.4.2.4 First-Order Sensitivity Analysis -- An Example of First-Order Sensitivity Analysis -- Warning on Accuracy -- 8.4.2.5 Fractional Factorial Design Method -- 8.4.2.6 Monte Carlo Sampling Methods -- Simple Monte Carlo Sampling -- Sampling Uncertainty -- Making Sense of the Results -- Standardized Monte Carlo Analysis -- Generalized Likelihood Estimation -- 8.4.2.7 Latin Hypercube Sampling -- 8.5 Performance Indicator Uncertainties -- 8.5.1 Performance Measure Target Uncertainty -- 8.5.2 Distinguishing Differences Between Performance Indicator Distributions -- 8.6 Communicating Model Output Uncertainty -- 8.7 Conclusions -- References -- Additional References (Further Reading) -- Exercises -- 9 Performance Criteria -- 9.1 Introduction -- 9.2 Informed Decision-Making -- 9.3 Performance Criteria and General Alternatives -- 9.3.1 Constraints on Decisions -- 9.3.2 Tradeoffs Among Performance Criteria -- 9.4 Quantifying Performance Criteria -- 9.4.1 Economic Criteria -- 9.4.1.1 Benefit and Cost Estimation -- Market Prices Equal Social Values -- Market Prices not Equal to Social Values -- No Market Processes -- 9.4.1.2 A Note Concerning Costs -- 9.4.1.3 Long- and Short-Run Benefit Functions -- 9.4.2 Environmental Criteria -- 9.4.3 Ecological Criteria -- 9.4.4 Social Criteria -- 9.5 Multicriteria Analyses. , 9.5.1 Dominance.

Additional Edition: Print version: Loucks, Daniel P. Water Resource Systems Planning and Management Cham : Springer International Publishing AG,c2017 ISBN 9783319442327

Language: English

Subjects: Engineering , General works

Keywords: Electronic books. ; Electronic books. ; Aufsatzsammlung

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Format: 1 online resource (xvi, 297 pages) : , digital, PDF file(s).

ISBN: 1-108-60386-6 , 1-108-60714-4 , 1-108-75866-5

Content: Modern languages like English, Spanish, Russian and Hindi as well as ancient languages like Greek, Latin and Sanskrit all belong to the Indo-European language family, which means that they all descend from a common ancestor. But how, more precisely, are the Indo-European languages related to each other? This book brings together pioneering research from a team of international scholars to address this fundamental question. It provides an introduction to linguistic subgrouping as well as offering comprehensive, systematic and up-to-date analyses of the ten main branches of the Indo-European language family: Anatolian, Tocharian, Italic, Celtic, Germanic, Greek, Armenian, Albanian, Indo-Iranian and Balto-Slavic. By highlighting that these branches are saliently different from each other, yet at the same time display striking similarities, the book demonstrates the early diversification of the Indo-European language family, spoken today by half the world's population. This title is also available as open access on Cambridge Core.

Note: Title from publisher's bibliographic system (viewed on 15 Sep 2022). , Introduction / Thomas Olander -- Methodology in linguistic subgrouping / James Clackson -- Computational approaches to linguistic chronology and subgrouping / Dariusz Piwowarczyk -- What we can (and can't) learn from computational cladistics / Don Ringe -- Anatolian / Alwin Kloekhorst -- Tocharian / Michaël Peyrot -- Italo-Celtic / Michael Weiss -- Italic / Michael Weiss -- Celtic / Anders Richardt Jørgensen -- Germanic / Bjarne Simmelkjær Sandgaard Hansen & Guus Jan Kroonen -- Greek / Lucien van Beek -- Armenian / Birgit Anette Olsen & Rasmus Thorsø -- Albanian / Adam Hyllested & Brian D. Joseph -- Indo-Iranian / Martin Joachim Kümmel -- Blato-Slavic / Tijmen Pronk.

Additional Edition: ISBN 9781108499798

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Keywords: Aufsatzsammlung

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Format: 1024 S. : , Ill., graph. Darst.

Edition: 2. ed., internat. ed.

ISBN: 0-13-504196-1 , 978-0-13-504196-3

Series Statement: Prentice-Hall-series in artificial intelligence

Content: This book takes an empirical approach to language processing, based on applying statistical and other machine-learning algorithms to large corpora.Methodology boxes are included in each chapter. Each chapter is built around one or more worked examples to demonstrate the main idea of the chapter. Covers the fundamental algorithms of various fields, whether originally proposed for spoken or written language to demonstrate how the same algorithm can be used for speech recognition and word-sense disambiguation. Emphasis on web and other practical applications. Emphasis on scientific evaluation. Useful as a reference for professionals in any of the areas of speech and language processing.

Note: Hier auch später erschienene, unveränderte Nachdrucke

Language: English

Subjects: Computer Science , Comparative Studies. Non-European Languages/Literatures

Keywords: Digitale Sprachverarbeitung ; Computerlinguistik ; Automatische Spracherkennung ; Natürlichsprachiges System

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Format: 1 online resource (xx, 354 pages) : , digital, PDF file(s).

ISBN: 9781107358331 (ebook)

Content: Intractability is a growing concern across the cognitive sciences: while many models of cognition can describe and predict human behavior in the lab, it remains unclear how these models can scale to situations of real-world complexity. Cognition and Intractability is the first book to provide an accessible introduction to computational complexity analysis and its application to questions of intractability in cognitive science. Covering both classical and parameterized complexity analysis, it introduces the mathematical concepts and proof techniques that can be used to test one's intuition of (in)tractability. It also describes how these tools can be applied to cognitive modeling to deal with intractability, and its ramifications, in a systematic way. Aimed at students and researchers in philosophy, cognitive neuroscience, psychology, artificial intelligence, and linguistics who want to build a firm understanding of intractability and its implications in their modeling work, it is an ideal resource for teaching or self-study.

Note: Title from publisher's bibliographic system (viewed on 26 Mar 2019).

Additional Edition: Print version: ISBN 9781107043992

Language: English

Subjects: Computer Science

URL: https://doi.org/10.1017/9781107358331

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Format: 1 online resource (199 pages)

Edition: 1st ed.

ISBN: 9783839469187

Series Statement: Digital Humanities Research Series

Note: Cover -- Contents -- Spatial Concepts, Approaches and Methods for Digital Humanities - An Introduction to the Book -- About this Book -- References -- SPATIAL CONCEPTS, APPROACHES AND PERSPECTIVES -- Digital Spatial Humanities - Some Methodological Remarks and Two Historical Examples -- Introduction: Spatial Turn as an Impetus for Computational/Digital Humanities -- Digitisation, (Big) Data and Computational/Digital Humanities -- Spatial (Computational/Digital) Humanities and Spatial Cognition -- "Semantic Web" as a Technical Solution Framework for Semantic Representation and Publication of Linked Open Data -- Two Examples for the Indexing of Historical Geographical Maps and Texts -- Visual indexing: The Behaim‐Globe -- Historical Spaces: Flavio Biondo -- Conclusion -- References -- The Digital Humanities and Geography's Spatial Thought -- Introduction -- Space as a Social Product -- Episodes of Geographical Understandings of Space -- Conclusion -- References -- Language(s), Discourse(s), Space(s) - and their Transformations in the Digital Age -- On the Prospects of a Conceptual and Methodological Exchange between Digital Humanities and Geography -- The World as a Mosaic of (Cultural) Spaces: Language and Space in Traditional Cultural Geography in the 19th and early 20th Centuries -- The Production of Spaces: Lines of Development of Social Geography in the 20th Century -- Cultural and Linguistic Turn - and the "New" Cultural Geography -- Discourse Studies in Geography -- Potentials and Challenges of Discourse Studies in Geography in the Digital Age -- Georeferencing of Text Corpora -- Communicative Interaction in Digital "Social" Media -- Socio‐technical Production of Geographical Knowledge -- References -- Petrichor and Positionality: Occasion for a Situated Spatial Epidemiology in the Digital Humanities -- Fragrance of a Storm. , A 'Dashboard Pandemic' -- Ode to the Armchair Statistician -- Waves and Wildfires -- Fisticuffs or Full Embrace -- Petrichor -- References -- EVOLVING METHODS AND CRITICAL REFLECTIONS -- Place and Space in Literature -- Modelling Narrative Space in Novels and Letter Correspondences -- Computational Literary Studies: Conceptual Design and Methods of Modelling Space -- Spatial Concepts and a Model of Narrative Space -- Method -- Training Data and Test Data -- Case Studies and Findings -- Automated Detection of Narrative Space in Novels -- Automated Detection of Narrative Space in Historical Letters -- Analysing Narrative Space in Letters -- Automated Detection of Places in Novels -- Conclusion -- References -- The Knowledge Graph as a Data Sculpture: Visualising Arts and Humanities Data with Maps, Graphs, and Sets over Time -- Introduction -- Digital & -- Distant Perspectives on Cultural Materials -- The PolyCube Framework of Visualisation for Arts & -- Humanities Topics -- Connecting Geo‐Temporal and Diagrammatic Space‐Time -- Visual Analysis, Curation and Communication of In/Tangible Cultural Heritage (InTaVia) -- Towards Digital History as Polymorphic and Discursive Data Sculpting -- References -- Acknowledgements -- Placing Wellbeing: Distant Reading Approaches for Exploratory Placial Data Analysis -- Introduction -- Analysing Geographies of Wellbeing -- Implementing Qualitative Text Analysis -- Enabling the Process - Three Flavours -- Results from first Evaluations -- Places in Texts: A General Framework? -- Conclusion -- References -- Operationalising Territories in 16th‐Century Europe: A Critical Reflection on Spatial Concepts -- Introduction -- Territories in the 16th Century -- The 'Optimal' Operationalisation -- Requirements of the 'optimal' operationalisation -- Limitations of the 'Optimal' Operationalisation. , The Simplified Operationalisation -- Method: Vectorising Territorities -- Reflections on the Simplified Operationalisation -- Uncertainty Analysis -- Comparison with other Operationalisations -- Conclusion -- References -- Data Availability Statement -- Acknowledgments -- Appendix A: Georeferencing -- Appendix B: Manual Polygonisation Results in Overlapping Surface Geometries -- Appendix C: Manual Polygonisation -- Appendix D: Raster Bands -- Appendix E: Post Processing -- Appendix F Attributes from Wikipedia -- Appendix F.1 Manual -- Appendix F.2 Automatic -- Appendix F.2.1 fully structured crawl -- Appendix F.2.2 Semi Structured Crawl -- Appendix G Wikipedia Crawl -- Appendix G.1 Gathering Socio‐Economic Attributes of Territories -- Appendix G.1.1 Manual: Wikipedia Lookup -- Appendix G.1.2 Automated: Wikipedia Crawl -- Appendix H Camparison between Manual and Automatic Method -- Appendix H.1 Comparison in Terms of Missing Wikipedia Attributes -- Appendix H.2 Comparison in Terms of Practicability -- Appendix H.3 Comparison in Terms of Descriptive Statistics -- Appendix I Ranking of Rule Titles -- Authors.

Additional Edition: Print version: Dammann, Finn Geographical Research in the Digital Humanities Bielefeld : transcript Verlag,c2024 ISBN 9783837669183

Language: English

Keywords: Electronic books.

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Format: 1 online resource (ix, 447 pages) : , digital, PDF file(s).

ISBN: 9780511527227 (ebook)

Series Statement: Studies in natural language processing

Content: Lexical semantics has become a major research area within computational linguistics, drawing from psycholinguistics, knowledge representation, computer algorithms and architecture. Research programmes whose goal is the definition of large lexicons are asking what the appropriate representation structure is for different facets of lexical information. Among these facets, semantic information is probably the most complex and the least explored. Computational Lexical Semantics is one of the first volumes to provide models for the creation of various kinds of computerized lexicons for the automatic treatment of natural language, with applications to machine translation, automatic indexing, and database front-ends, knowledge extraction, among other things. It focuses on semantic issues, as seen by linguists, psychologists and computer scientists. Besides describing academic research, it also covers ongoing industrial projects.

Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015). , An introduction to lexical semantics from a linguistic and a psycholinguistic perspective / Patrick Saint-Dizier and Evelyne Viegas -- Polysemy and related phenomena from a cognitive linguistic viewpoint / D.A. Cruse -- Mental lexicon and machine lexicon : which properties are shared by machine and mental word representations? Which are not? / Jean-François Le Ny -- Linguistic constraints on type coercion / James Pustejovsky -- From lexical semantics to text analysis / Sabine Bergler -- Lexical functions, generative lexicons and the world / Dirk Heylen -- Semantic features in a generic lexicon / Gabriel G. Bès and Alain Lecomte -- Lexical semantics and terminological knowledge representation / Gerrit Burkert -- Word meaning between lexical and conceptual structure / Peter Gerstl -- The representation of group denoting nouns in a lexical knowledge base / Ann Copestake -- A preliminary lexical and conceptual analysis of BREAK : a computational perspective / Martha Palmer and Alain Polguère -- Large neural networks for the resolution of lexical ambiguity / Jean Véronis and Nancy Ide -- Blocking / Ted Briscoe, Ann Copestake, and Alex Lascarides -- A non-monotonic approach to lexical semantics / Daniel Kayser and Hocine Abir -- Inheriting polysemy / Adam Kilgarriff -- Lexical semantics : dictionary or encyclopedia? / Marc Cavazza and Pierre Zweigenbaum -- Lexical functions of the Explanatory combinatorial dictionary for lexicalization in text generation / Margarita Alonso Ramos, Agnes Tutin, and Guy Lapalme -- A lexical-semantic solution to the divergence problem in machine translation / Bonnie J. Dorr -- Introducing LexLog / Jacques Jayez -- Constraint propagation techniques for lexical semantics descriptions / Patrick Saint-Dizier.

Additional Edition: Print version: ISBN 9780521444101

Language: English

URL: https://doi.org/10.1017/CBO9780511527227

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Format: XXXI, 632 p. 97 illus. , online resource.

ISBN: 9783319754871

Series Statement: Lecture Notes in Computer Science, 9624

Content: The two-volume set LNCS 9623 + 9624 constitutes revised selected papers from the CICLing 2016 conference which took place in Konya, Turkey, in April 2016. The total of 89 papers presented in the two volumes was carefully reviewed and selected from 298 submissions. The book also contains 4 invited papers and a memorial paper on Adam Kilgarriff’s Legacy to Computational Linguistics. The papers are organized in the following topical sections: Part I: In memoriam of Adam Kilgarriff; general formalisms; embeddings, language modeling, and sequence labeling; lexical resources and terminology extraction; morphology and part-of-speech tagging; syntax and chunking; named entity recognition; word sense disambiguation and anaphora resolution; semantics, discourse, and dialog. Part II: machine translation and multilingualism; sentiment analysis, opinion mining, subjectivity, and social media; text classification and categorization; information extraction; and applications. .

Note: Machine Translation and Multilingualism -- Enabling Medical Translation for Low-Resource Languages -- Combining Phrase and Neural-based Machine Translation: what worked and did not -- Combining machine translated sentence chunks from multiple MT systems -- Forest to String Based Statistical Machine Translation with Hybrid Word Alignments -- Instant Translation Model Adaptation by Translating Unseen Words in Continuous Vector Space -- Fast-Syntax-Matching-based Japanese-Chinese Limited Machine Translation -- A Classifier-based Preordering Approach for English-Vietnamese Statistical Machine Translation -- Quality Estimation for English-Hungarian Machine Translation Systems with Optimized Semantic Features -- Genetic-based decoder for statistical machine translation -- Bilingual Contexts from Comparable Corpora to Mine for Translations of Collocations -- Bi-Text Alignment of Movie Subtitles for Spoken English-Arabic Statistical Machine Translation -- A Parallel Corpus of Translationese -- A Low Dimensionality Representation for Language Variety Identification -- Sentiment Analysis, Opinion Mining, Subjectivity, and Social Media -- Towards Empathetic Human-Robot Interactions -- Extracting Aspect Specific Sentiment Expressions implying Negative Opinions -- Aspect Terms Extraction of Arabic Dialects for Opinion Mining Using Conditional Random Fields -- Large Scale Authorship Attribution of Online Reviews -- Discovering Correspondence of Sentiment Words and Aspects -- Aspect Based Sentiment Analysis: Category Detection and Sentiment Classifcation for Hindi -- A New Emotional Vector Representation For Sentiment Analysis -- Cascading Classifiers for Twitter Sentiment Analysis with Emotion Lexicons -- A Multilevel Approach to Sentiment Analysis of Figurative Language in Twitter -- Determining sentiment in citation text and analyzing its impact on the proposed ranking index -- Combining Lexical Features and a Supervised Approach for Arabic Sentiment Analysis -- Sentiment analysis in Arabic Twitter posts using supervised methods with combined features -- Interactions between Term Weighting and Feature Selection Methods for Sentiment Analysis of Turkish Reviews -- Developing a concept-level knowledge base for sentiment analysis in Singlish -- Using syntactic and semantic features for classifying modal values in the Portuguese language -- Detecting the Likely Causes behind the Emotion Spikes of Influential Twitter Users -- Age Identification of Twitter Users: Classification Methods and Sociolinguistic Analysis -- Mining of Social Networks from Literary Texts of Resource Poor Languages -- Collecting and Annotating Indian Social Media Code-Mixed Corpora -- Turkish Normalization Lexicon for Social Media -- Text Classification and Categorization -- Introducing Semantics in Short Text Classification -- Topics and Label Propagation: Best of Both Worlds for Weakly Supervised Text Classification -- Deep Neural Networks for Czech Multi-label Document Classification -- Turkish Document Classification with Coarse-grained Semantic Matrix -- Supervised Topic Models for Diagnosis Code Assignment to Discharge Summaries -- Information Extraction -- Identity and Granularity of Events in Text -- An informativeness approach to Open IE evaluation -- End-to-End Relation Extraction using Markov Logic Networks -- Knowledge Extraction with NooJ Using a syntactico-Semantic Approach for the Arabic Utterances Understanding -- Adapting TimeML to Basque: Event annotation -- Applications -- Deeper summarisation: the second time around -- Tracing Language Variation for Romanian -- Aoidos: A System for the Automatic Scansion of Poetry Written in Portuguese.

In: Springer eBooks

Additional Edition: Printed edition: ISBN 9783319754864

Language: English

Keywords: Konferenzschrift

DOI: 10.1007/978-3-319-75487-1

URL: http://dx.doi.org/10.1007/978-3-319-75487-1

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Format: XXVI, 934 S. : graph. Darst.

ISBN: 0-13-122798-x , 0-13-095069-6

Series Statement: Prentice-Hall-series in artificial intelligence

Language: English

Subjects: Comparative Studies. Non-European Languages/Literatures

Keywords: Digitale Sprachverarbeitung ; Computerlinguistik ; Automatische Spracherkennung ; Natürlichsprachiges System ; Computerlinguistik ; Automatische Spracherkennung ; Natürlichsprachiges System ; Lehrbuch

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Format: 1 online resource (vii, 298 pages) : , digital, PDF file(s).

ISBN: 9780511663642 (ebook)

Series Statement: Studies in natural language processing

Content: The lexicon is now a major focus of research in computational linguistics and natural language processing (NLP), as more linguistic theories concentrate on the lexicon and as the acquisition of an adequate vocabulary has become the chief bottleneck in developing practical NLP systems. This collection describes techniques of lexical representation within a unification-based framework and their linguistic application, concentrating on the issue of structuring the lexicon using inheritance and defaults. Topics covered include typed feature structures, default unification, lexical rules, multiple inheritance and non-monotonic reasoning. The contributions describe both theoretical results and implemented languages and systems, including DATR, the Stuttgart TFS and ISSCO's ELU. This book arose out of a workshop on default inheritance in the lexicon organized as a part of the Esprit ACQUILEX project on computational lexicography. Besides the contributed papers mentioned above, it contains a detailed description of the ACQUILEX lexical knowledge base (LKB) system and its use in the representation of lexicons extracted semi-automatically from machine-readable dictionaries.

Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015). , Skeptical and credulous default unification with applications to templates and inheritance / Bob Carpenter -- Prioritised multiple inheritance in DATR / Roger Evans, Gerald Gazdar and Lionel Moser -- Some reflections on the conversion of the TIC lexicon into DATR / Lynne J. Cahill -- Norms or inference tickets? : a frontal collision between intuitions / Michael Morreau -- Issues in the design of a language for representing linguistic information based on inheritance and feature structures / Rémi Zajac -- Feature-based inheritance networks for computational lexicons / Hans-Ulrich Krieger and John Nerbonne -- A practical approach to multiple default inheritance for unification-based lexicons / Graham Russell [and others] -- The ACQUILEX LKB : an introduction / Ann Copestake [and others] -- Types and constraints in the LKB / Valeria De Paiva -- LKB encoding of lexical knowledge / Antonio Sanfilippo. , Defaults in lexical representation / Ann Copestake -- Untangling definition structure into knowledge representation / Piek Vossen and Ann Copestake.

Additional Edition: Print version: ISBN 9780521430272

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URL: https://doi.org/10.1017/CBO9780511663642

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Format: 1 online resource (xiii, 413 pages) : , digital, PDF file(s).

ISBN: 9780511597855 (ebook)

Series Statement: Studies in natural language processing

Content: This is a collection of new papers by leading researchers on natural language parsing. In the past, the problem of how people parse the sentences they hear - determine the identity of the words in these sentences and group these words into larger units - has been addressed in very different ways by experimental psychologists, by theoretical linguists, and by researchers in artificial intelligence, with little apparent relationship among the solutions proposed by each group. However, because of important advances in all these disciplines, research on parsing in each of these fields now seems to have something significant to contribute to the others, as this volume demonstrates. The volume includes some papers applying the results of experimental psychological studies of parsing to linguistic theory, others which present computational models of parsing, and a mathematical linguistics paper on tree-adjoining grammars and parsing.

Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015). , Introduction / Laurie Karttunen and Arnold M. Zwicky -- Measuring syntactic complexity relative to discourse context / Alice Davison and Richard Lutz -- Interpreting questions -- How can grammars help parsers? -- Syntactic complexity -- Processing of sentences with intrasentential code switching -- Tree adjoining grammars: how much context-sensitivity is required to provide reasonable structural descriptions / Aravind K. Joshi -- Parsing in functional unification grammar -- Parsing in a free word order language -- A new characterization of attachment preferences / Fernando C.N. Pereira -- On not being led up the garden path: the use of context by the pscyhological syntax processor -- Do listeners compute linguistic representations?

Additional Edition: Print version: ISBN 9780521262033

Language: English

URL: https://doi.org/10.1017/CBO9780511597855

URL: https://doi.org/10.1017/CBO9780511597855

URL: Volltext  (lizenzpflichtig)