Kooperativer Bibliotheksverbund

UID:

Format: 1 online resource (867 pages)

Edition: 1st ed.

ISBN: 2-38476-271-0

Series Statement: Advances in Social Science, Education and Humanities Research Series ; v.857

Note: Intro -- Preface -- Organization -- Contents -- Peer-Review Statements -- Cultural Heritage and Linguistics Educational System -- Research on Psychological Education Promoting Ideological and Political Education in China's Colleges and Universities -- Exploration of the Path of High-Quality Talent Cultivation in Electric Power Enterprise -- Measurement and Analysis of Information Retrieval Experience from the Perspective of Psychological Flow Theory -- An Analysis of College Students' Emotional States and Environmental Attribution Factors After COVID-19 Pneumonia Outbreak -- How to Strengthen Family Education in School-Family Partnerships for Primary School Students in the Context of the Internetfrom the Perspective of Zone of Proximal Development Theory -- Based on "Virtual Simulation Task Driven" Electronic Technology Course Ideological and Political Education Research on the Implementation Path of Teaching -- An Early Warning Study of College Students' Mental Health Risk Based on Dual-Factor Modeling -- The Relationship Between Anxiety, Depression, and Well-Being Literacy in College Students: Based on a Dual-Factor Model of Mental Health -- Impact of Violence in Japanese Anime on the Psychological Development of Chinese Adolescents -- Comparative Study on Driving Anger Groups: Statistical Analysis of Chinese Drivers -- Analyzing the Stability of Young Teachers in Colleges and Universities from the Perspective of Psychological Needs -- The Effect of Parental Over-Protection on Adolescent Children's Self-Exploration and Rebellious Behavior -- Shine in the spotlight of ballet, grow through the education of love - Taking the path of ballet at Beijing Caoqiao Primary School as an example. , Improvement of the Quality of Delay Service after Class in Primary and Secondary Schools under the "Double-reduction" Policy--Taking LinPing No.1 Primary School as an Example -- Research on Improving Employment Anxiety Among Higher Vocational College Graduates -- Is Human Comprehensive Development Coordinated with the Development of National Public Health and Medical Security? -- Sports and Politics in the United States: An Interdisciplinary Analysis -- The Intersection of Age and Voice: A Comparative Study of Aging Communication and Youth Political Dialogue in Shenzhen -- Research on the Application of Gamified Learning of Traditional Bamboo Papermaking Skills in the Dissemination of Intangible Cultural Heritage -- Parental Control and Adolescent Social Maladaptation Relationships: A Meta-analysis -- Construction and Practice of Stereoscopic Practical Teaching System for Electrical Major in Application-oriented Undergraduate Universities -- A Integration Model for Teaching Introduction to Electrical Subject -- Design and Application of Maker Education Curriculum Based on Creative Learning Theory -- Practice and Dilemma of Scientific Research Feedback Teaching in Finance Programs Research--Take a University in Guangdong Province as an Example -- Research on integrating ideological and political education into the teaching of fluid mechanics -- Exploration and Practice of Ideological and Political Education: Taking Engineering Majors as an Example -- Exploration of The Path of Integrating Ideological and Political Education into Competency-oriented Undergraduate Graduation Design Course -- Research on Teaching Reform of Professional Basic Courses in Engineering Based on Precision Teaching Concept in the Digital Era -- New Application of Quality-Oriented Teaching Empowering Sports Teaching Aids. , The School-Running Practice and Historical Value of "South China United University" during the Anti-Japanese War -- A Critical Discussion on Privacy Concerns in EU Antitrust Enforcement -- The Study on the Construction of Healing Spaces in Historic Districts During Urban Renewal -- The exploration and research of the effective integration of the cultivation of values and moral values and teaching -- Research and Discussion on Mental Health Education for University Students in the New Media Environment -- Research on "Trinity" healthy employment psychological guidance of college graduates based on career development system theory -- Investigation for Transcultural Self-efficacy among Medical Students in Internships -- Analysis of the Impact and Trends of Digital Transformation on the Development of University Teachers' Teaching -- Can the Reform of Research Reward System in Chinese Higher Vocational Colleges Eliminate the Phenomenon of "Thesis-Only" Research? -- A Case Study of College M -- Research on the Integration Path of Industry and Education in Vocational Colleges, Utilizing the Principles of Symbiosis Theory -- Advantages and Feasibility of Technology-Enabled Quality Resource Sharing Sino-Russia Cross-border Higher Education -- Comparative Study of Narrative Phenomena in Chinese and American Chick Flicks -- Research on Quality Evaluation of Student Party Member Development Based on Six Sigma Management Method -- Analyzing Cyber Violence in China from the Perspective of Routine Activity Theory -- Applying Educational Psychology and Chinese Style Management Philosophy in the Education of Students in Chinese Colleges and Universities -- On the Intermingling of Tea Culture and Literati Life in the Tang Dynasty -- Construction and Practical Exploration of a Precise Management Model for Student Aid: A Multi-Dimensional Data-Driven Methodology. , Research on the Application of the Theory of Integrity Innovation in Ideal and Belief Education of College Students -- A Survey of the Current Status of Artificial Intelligence Counseling to Alleviate Psychological Anxiety among Medical Interns -- An Analysis of Mobile APP Evaluation Dimension and Measurement based on User Perspective -- The Training of Medical Supply Chain Management Talents under the Background of New Engineering and New Liberal Arts -- Exploring the Fusion of Eastern and Western Cultures in Dance Drama Creation-A Case Study of the Children's Ballet Drama "Grassland Hero Sisters" -- Subjective Social Status and Social Anxiety of College Students: Mediating Impact of Core Self-assessment -- Applying TPB in investigating the Intentions of Accounting Students on Pursuing Professional Accountancy Qualification -- Application of Intelligent Manufacturing Technology in Experimental Teaching in Colleges and Universities -- Artificial Intelligence Counseling to Alleviate Psychological Anxiety among Medical Interns: a Qualitative Study -- A Study of the Characters of Northeast China Anti-Japanese United Forces from the Perspective of Japanese Literature -- Research on Mediating Mechanism of Psychological Health and Professionalism of Civil Aviation Pilots -- Research on Teaching Design of Launch Support System Course Guided by System Design Tasks -- The Predicament and Future of Science and Technology Ethics from the Perspective of Modernity -- The Teaching Reform of Building Structure course Based on the Training of Skilled Personnel -- Research and Governance of Media Ethics Chaos on Network Live Streaming Platforms--Based on the Observation of the Phenomenon of "Group Broadcasting" on TikTok Platform -- A Study of the Core Ideology of Chuan Xi Lu and the Contemporary Communication of Wang Yangming's Media Image. , An Analysis of Countermeasures and College Freshman's Psychological Changes in Various Stages -- A Preliminary Discussion on the Status and Reflections of Music Education for the Elderly in a Multicultural Context- Taking a University for the Elderly in Hefei as an Example -- Pathway Exploration for HIV/AIDS Prevention Education in Universities from the Perspective of Comprehensive Ideological and Political Education -- Historical Reflections on the Failure of Grassroots Governance in the Soviet Union -- Constructing an Immersion Internship Model in Early Childhood Profession: A Case Study of School B in Chinese Vocational Colleges -- Research on the Demand for online Elderly Care Services for Urban Elderly in Chongqing City of China under the Background of Digital Economy -- Exploring Career Satisfaction and Profession Identification with Affect and Symbolic CapitalAn Exploratory Study Among Young Language Teachers in Border Regions of China -- All About My Mother: a Plausible Dissection of Women's Positioning and Prospects in Feminist Film -- Explore the Causes of Crime and Social Impact of Romance Fraud in Mainland China from 2019-2021 -- Problems and Countermeasures of Using AI Technology in Undergraduate Business English Education -- Exploring Areas of Neglect: A Qualitative Study on the Dissemination of Sport Information for Over-65s on Social Media in China -- Emotional Labor in Cross-Cultural Adaptation: Exploring the Construction of Socio-Emotional Competence of College Student Volunteers Teaching in Ethnic Minority Areas -- A Study on the Cultivation of University Students' Competence of Introducing Chinese Culture Based on Cultural Awareness -- An Analysis of Learning Interest on Cabin Service English. , Analysis of Factors Influencing Love Confession and Result Prediction Based on Artificial Intelligence Algorithms and Questionnaire Surveys.

Additional Edition: ISBN 2-38476-270-2

Language: English

Keywords: Electronic books.

URL: Click here to view book

UID:

Format: 1 online resource (427 p.)

ISBN: 1-281-78295-5 , 9786611782955 , 0-08-086733-2

Series Statement: Advances in psychology ; 79

Content: The book presents the state-of-the-art in major aspects of text analysis and cognitive text processing by some of the most well-known European and American researchers in the field of text-linguistics and cognitive psychology. Comprehensive views and new perspectives are proposed in the following topics: cognitive and metacognitive aspects of text processing, structures and processes involved in the construction of multi-level semantic representations in relation with text and reader characteristics, achievement of local and global coherence of meaning during reading and comprehension, assessm

Note: Description based upon print version of record. , Front Cover; Text and Text Processing; Copyright Page; Contents; Foreword; PART I: TEXT REPRESENTATION : STRUCTURES AND PROCESSES; Chapter 1. Input-Output : Processing and representation; Chapter 2. Constructing multiple semantic representations in comprehending and producing discourse; Chapter 3. The mental representation of the text. Relationship between text characteristics and characteristics of mental representation; Chapter 4. Text typologies : A cognitive approach; Chapter 5. Cognitive and metacognitive aspects of text processing; PART II: KNOWLEDGE ACQUISITION FROM TEXT , Chapter 6. The role of knowledge in discourse comprehension : A construction-integration modelChapter 7. Mental models and acquisition of knowledge from text : Representation and acquisition of functional systems; Chapter 8. Knowledge modification during reading; Chapter 9. Coherence in semantic representations : Text comprehension and acquisition of concepts; Chapter 10. Acquisition, updating and ordering of knowledge in the reading of press agency wires; PART III: COHERENCE : PERSPECTIVES IN LINGUISTIC AND COGNITIVE RESEARCH; Chapter 11. Aspects of textual continuity : Linguistic approaches , Chapter 12. Aspects of textual continuity : Psycholinguistic approachesChapter 13. Pronouns and cognitive connexity; Chapter 14.The development of coherence in narratives by understanding intentional action; PART IV: TEXT PRODUCTION : COGNITIVE ASPECTS; Chapter 15. Production : Planning and control; Chapter 16. The analysis of writers' think-aloud protocols : Developing a principled coding scheme for ill-structured tasks; Chapter 17. Production of argumentative discourse : The textual function of statements considered important by the speaker , Chapter 18. Towards the generation of discourse units in conversationChapter 19. Strategies in discourse production : Computational models; Author Index; Subject Index , English

Additional Edition: ISBN 0-444-88484-X

Language: English

UID:

Format: 200 S.

Series Statement: Ianua linguarum 91

Uniform Title: Principy modelirovanija jazyka 〈engl.〉

Note: Literaturverz. S. [174] - 200

Language: English

Subjects: Comparative Studies. Non-European Languages/Literatures

Keywords: Modell ; Linguistik ; Linguistik ; Dokumentationssprache ; Formale Sprache ; Modell ; Linguistik ; Linguistik ; Dokumentationssprache ; Formale Sprache

UID:

Format: 1 online resource (410 pages) : , illustrations (some color), photographs, graphs, tables

Edition: 1st edition

ISBN: 0-12-804261-3 , 0-12-804206-0

Content: Perspectives on Data Science for Software Engineering presents the best practices of seasoned data miners in software engineering. The idea for this book was created during the 2014 conference at Dagstuhl, an invitation-only gathering of leading computer scientists who meet to identify and discuss cutting-edge informatics topics. At the 2014 conference, the concept of how to transfer the knowledge of experts from seasoned software engineers and data scientists to newcomers in the field highlighted many discussions. While there are many books covering data mining and software engineering basics, they present only the fundamentals and lack the perspective that comes from real-world experience. This book offers unique insights into the wisdom of the community’s leaders gathered to share hard-won lessons from the trenches. Ideas are presented in digestible chapters designed to be applicable across many domains. Topics included cover data collection, data sharing, data mining, and how to utilize these techniques in successful software projects. Newcomers to software engineering data science will learn the tips and tricks of the trade, while more experienced data scientists will benefit from war stories that show what traps to avoid. Presents the wisdom of community experts, derived from a summit on software analytics Provides contributed chapters that share discrete ideas and technique from the trenches Covers top areas of concern, including mining security and social data, data visualization, and cloud-based data Presented in clear chapters designed to be applicable across many domains

Note: Front Cover -- Perspectives on Data Science for Software Engineering -- Copyright -- Contents -- Contributors -- Acknowledgments -- Introduction -- Perspectives on data science for software engineering -- Why This Book? -- About This Book -- The Future -- References -- Software analytics and its application in practice -- Six Perspectives of Software Analytics -- Experiences in Putting Software Analytics into Practice -- References -- Seven principles of inductive software engineering: What we do is different -- Different and Important -- Principle #1: Humans Before Algorithms -- Principle #2: Plan for Scale -- Principle #3: Get Early Feedback -- Principle #4: Be Open Minded -- Principle #5: Be smart with your learning -- Principle #6: Live With the Data You Have -- Principle #7: Develop a Broad Skill Set That Uses a Big Toolkit -- References -- The need for data analysis patterns (in software engineering) -- The Remedy Metaphor -- Software Engineering Data -- Needs of Data Analysis Patterns -- Building Remedies for Data Analysis in Software Engineering Research -- References -- From software data to software theory: The path less traveled -- Pathways of Software Repository Research -- From Observation, to Theory, to Practice -- References -- Why theory matters -- Introduction -- How to Use Theory -- How to build theory -- Constructs -- Propositions -- Explanation -- Scope -- In Summary: Find a Theory or Build One Yourself -- Further Reading -- Success stories/applications -- Mining apps for anomalies -- The Million-Dollar Question -- App Mining -- Detecting Abnormal Behavior -- A Treasure Trove of Data -- ... But Also Obstacles -- Executive Summary -- Further Reading -- Embrace dynamic artifacts -- Can We Minimize the USB Driver Test Suite? -- Yes, Lets Observe Interactions -- Why Did Our Solution Work? -- Still Not Convinced? Heres More. , Dynamic Artifacts Are Here to Stay -- Acknowledgments -- References -- Mobile app store analytics -- Introduction -- Understanding End Users -- Conclusion -- References -- The naturalness of software* -- Introduction -- Transforming Software Practice -- Porting and Translation -- The ``Natural Linguistics´´ of Code -- Analysis and Tools -- Assistive Technologies -- Conclusion -- References -- Advances in release readiness -- Predictive Test Metrics -- Universal Release Criteria Model -- Best Estimation Technique -- Resource/Schedule/Content Model -- Using Models in Release Management -- Research to Implementation: A Difficult (but Rewarding) Journey -- How to tame your online services -- Background -- Service Analysis Studio -- Success Story -- References -- Measuring individual productivity -- No Single and Simple Best Metric for Success/Productivity -- Measure the Process, Not Just the Outcome -- Allow for Measures to Evolve -- Goodharts Law and the Effect of Measuring -- How to Measure Individual Productivity? -- References -- Stack traces reveal attack surfaces -- Another Use of Stack Traces? -- Attack Surface Approximation -- References -- Visual analytics for software engineering data -- References -- Gameplay data plays nicer when divided into cohorts -- Cohort Analysis as a Tool for Gameplay Data -- Play to Lose -- Forming Cohorts -- Case Studies of Gameplay Data -- Challenges of using cohorts -- Summary -- References -- A success story in applying data science in practice -- Overview -- Analytics Process -- Data Collection -- Exploratory Data Analysis -- Model Selection -- Performance Measures and Benefit Analysis -- Communication Process-Best Practices -- Problem Selection -- Managerial Support -- Project Management -- Trusted Relationship -- Summary -- References -- There's never enough time to do all the testing you want. , The Impact of Short Release Cycles (There's Not Enough Time) -- Testing Is More Than Functional Correctness (All the Testing You Want) -- Learn From Your Test Execution History -- Test Effectiveness -- Test Reliability/Not Every Test Failure Points to a Defect -- The Art of Testing Less -- Without Sacrificing Code Quality -- Tests Evolve Over Time -- In Summary -- References -- The perils of energy mining: measure a bunch, compare just once -- A Tale of TWO HTTPs -- Let's energise your software energy experiments -- Environment -- N-Versions -- Energy or Power -- Repeat! -- Granularity -- Idle Measurement -- Statistical Analysis -- Exceptions -- Summary -- References -- Identifying fault-prone files in large industrial software systems -- Acknowledgment -- References -- A tailored suit: The big opportunity in personalizing issue tracking -- Many Choices, Nothing Great -- The Need for Personalization -- Developer Dashboards or ``A Tailored Suit´´ -- Room for Improvement -- References -- What counts is decisions, not numbers-Toward an analytics design sheet -- Decisions Everywhere -- The Decision-Making Process -- The Analytics Design Sheet -- Example: App Store Release Analysis -- References -- A large ecosystem study to understand the effect of programming languages on code quality -- Comparing Languages -- Study Design and Analysis -- Results -- Summary -- References -- Code reviews are not for finding defects-Even established tools need occasional evaluation -- Results -- Effects -- Conclusions -- References -- Techniques -- Interviews -- Why Interview? -- The Interview Guide -- Selecting Interviewees -- Recruitment -- Collecting Background Data -- Conducting the Interview -- Post-Interview Discussion and Notes -- Transcription -- Analysis -- Reporting -- Now Go Interview! -- References -- Look for state transitions in temporal data. , Bikeshedding in Software Engineering -- Summarizing Temporal Data -- Recommendations -- Reference -- Card-sorting: From text to themes -- Preparation Phase -- Execution Phase -- Analysis Phase -- References -- Tools! Tools! We need tools! -- Tools in Science -- The Tools We Need -- Recommendations for Tool Building -- References -- Evidence-based software engineering -- Introduction -- The Aim and Methodology of EBSE -- Contextualizing Evidence -- Strength of Evidence -- Evidence and Theory -- References -- Which machine learning method do you need? -- Learning Styles -- Do additional Data Arrive Over Time? -- Are Changes Likely to Happen Over Time? -- If You Have a Prediction Problem, What Do You Really Need to Predict? -- Do You Have a Prediction Problem Where Unlabeled Data are Abundant and Labeled Data are Expensive? -- Are Your Data Imbalanced? -- Do You Need to Use Data From Different Sources? -- Do You Have Big Data? -- Do You Have Little Data? -- In Summary ... -- References -- Structure your unstructured data first! -- Unstructured Data in Software Engineering -- Summarizing Unstructured Software Data -- As Simple as Possible... But not Simpler! -- You Need Structure! -- Conclusion -- References -- Parse that data! Practical tips for preparing your raw data for analysis -- Use Assertions Everywhere -- Print Information About Broken Records -- Use Sets or Counters to Store Occurrences of Categorical Variables -- Restart Parsing in the Middle of the Data Set -- Test on a Small Subset of Your Data -- Redirect Stdout and Stderr to Log Files -- Store Raw Data Alongside Cleaned Data -- Finally, Write a Verifier Program to Check the Integrity of Your Cleaned Data -- Natural language processing is no free lunch -- Natural Language Data in Software Projects -- Natural Language Processing -- How to Apply NLP to Software Projects -- Do Stemming First. , Check the Level of Abstraction -- Dont Expect Magic -- Dont Discard Manual Analysis of Textual Data -- Summary -- References -- Aggregating empirical evidence for more trustworthy decisions -- What's Evidence? -- What Does Data From Empirical Studies Look Like? -- The Evidence-Based Paradigm and Systematic Reviews -- How Far Can We Use the Outcomes From Systematic Review to Make Decisions? -- References -- If it is software engineering, it is (probably) a Bayesian factor -- Causing the Future With Bayesian Networks -- The Need for a Hybrid Approach in Software Analytics -- Use the Methodology, Not the Model -- References -- Becoming Goldilocks: Privacy and data sharing in ``just right´´ conditions -- The ``Data Drought´´ -- Change is Good -- Dont Share Everything -- Share Your Leaders -- Summary -- Acknowledgments -- References -- The wisdom of the crowds in predictive modeling for software engineering -- The Wisdom of the Crowds -- So... How is That Related to Predictive Modeling for Software Engineering? -- Examples of Ensembles and Factors Affecting Their Accuracy -- Crowds for transferring knowledge and dealing with changes -- Crowds for Multiple Goals -- A Crowd of Insights -- Ensembles as Versatile Tools -- References -- Combining quantitative and qualitative methods (when mining software data) -- Prologue: We Have Solid Empirical Evidence! -- Correlation is Not Causation and, Even If We Can Claim Causation... -- Collect your data: People and artifacts -- Source 1: Dig Into Software Artifacts and Data -- ...but be careful about noise and incompleteness! -- Source 2: Getting Feedback From Developers -- ...and dont be afraid if you collect very little data! -- How Much to Analyze, and How? -- Build a theory upon your data -- Conclusion: The Truth is Out There! -- Suggested Readings -- References. , A process for surviving survey design and sailing through survey deployment.

Language: English

UID:

Format: 1 online resource (xiii, 280 pages) : , digital, PDF file(s).

ISBN: 9780511811975 (ebook)

Content: Written by a former news reporter and editor, News Talk gives us an insider's view of the media, showing how journalists select and construct their news stories. Colleen Cotter goes behind the scenes, revealing how language is chosen and shaped by news staff into the stories we read and hear. Tracing news stories from start to finish, she shows how the actions of journalists and editors - and the limitations of news writing formulas - may distort a story that was prepared with the most determined effort to be fair and accurate. Using insights from both linguistics and journalism, News Talk is a remarkable picture of a hidden world and its working practices on both sides of the Atlantic. It will interest those involved in language study, media and communication studies and those who want to understand how media shape our language and our view of the world.

Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015). , pt. I. The process and practice of everyday journalism. An interactional and ethnographic approach to news media language : Contradictory perceptions about news media behaviors ; The ethnographic advantage ; Exploring news and news language from the perspective of the practitioner ; Influences on media language and discourse ; Characteristics and tendencies of media language ; Conclusion: process and practice, underexplored dimensions -- Craft and community: reading the ways of journalists : Articulating primary values ; The craft ethos ; The community factor ; Conclusion: locating and understanding news priorities -- The ways reporters learn to report and editors learn to edit : "Ways of speaking" ; Socialization into news culture ; Loci of learning ; Conclusion: the apprentice model and journalistic practice. , pt. IV. Decoding the discourse. The impact of the news process on media language : Delivering the news ; Coherence of the text ; Linguists as "experts" in news stories -- Appendices : 1. Story samples ; 2. Outline guide for the analysis of news media language ; 3. SPJ code of ethics. , pt. III. Constructing the story: texts and contexts. Story design and the dictates of the "lead" : Principles of newswriting ; Story design ; The lead ; Conclusion" the importance of craft -- "Boilerplate": simplifying stories, anchoring text, altering meaning : News discourse rules and boilerplate ; Features of boilerplate ; Implications of boilerplate ; Conclusion: responsibility and "neutral" text production -- Style and standardization in news language : Background: language standardization ; Language standardization in the news context ; Journalists and language: complaints, values, and injunctions ; Changes and innovations in news style ; Conclusion: language awareness and journalistic identity. , pt. II. Conceptualizing the news. News values and their significance in text and practice : Determining "newsworthiness" ; News values govern journalistic practice ; News judgment and "instinct" ; Similarity and variation ; Conclusion: the role of news values -- The "story meeting": deciding what's fit to print : What happens at a story meeting: The Oakland Tribune ; Role of news values in story meetings ; Other news-community values ; Boundaries and norms of professional behavior ; Conclusion: news priorities in relation to practice -- The interaction-based nature of journalism : Interaction through practice ; The supremacy of the local ; Loci of interaction ; The pseudo-relationship between news media and community ; Conclusion: identifying interaction in the journalistic context.

Additional Edition: Print version: ISBN 9780521819619

Language: English

Subjects: Comparative Studies. Non-European Languages/Literatures , General works

URL: https://doi.org/10.1017/CBO9780511811975

URL: Volltext  (lizenzpflichtig)

UID:

Format: 1 online resource (584 pages)

ISBN: 0-12-822149-6

Series Statement: Computer Vision and Pattern Recognition

Content: "Advanced Methods and Deep Learning in Computer Vision presents advanced computer vision methods, emphasizing machine and deep learning techniques that have emerged during the past 5-10 years. The book provides clear explanations of principles and algorithms supported with applications. Topics covered include machine learning, deep learning networks, generative adversarial networks, deep reinforcement learning, self-supervised learning, extraction of robust features, object detection, semantic segmentation, linguistic descriptions of images, visual search, visual tracking, 3D shape retrieval, image inpainting, novelty and anomaly detection."--

Note: Front Cover -- Advanced Methods and Deep Learning in Computer Vision -- Copyright -- Contents -- List of contributors -- About the editors -- Preface -- 1 The dramatically changing face of computer vision -- 1.1 Introduction - computer vision and its origins -- 1.2 Part A - Understanding low-level image processing operators -- 1.2.1 The basics of edge detection -- 1.2.2 The Canny operator -- 1.2.3 Line segment detection -- 1.2.4 Optimizing detection sensitivity -- 1.2.5 Dealing with variations in the background intensity -- 1.2.6 A theory combining the matched filter and zero-mean constructs -- 1.2.7 Mask design-other considerations -- 1.2.8 Corner detection -- 1.2.9 The Harris `interest point' operator -- 1.3 Part B - 2-D object location and recognition -- 1.3.1 The centroidal profile approach to shape analysis -- 1.3.2 Hough-based schemes for object detection -- 1.3.3 Application of the Hough transform to line detection -- 1.3.4 Using RANSAC for line detection -- 1.3.5 A graph-theoretic approach to object location -- 1.3.6 Using the generalized Hough transform (GHT) to save computation -- 1.3.7 Part-based approaches -- 1.4 Part C - 3-D object location and the importance of invariance -- 1.4.1 Introduction to 3-D vision -- 1.4.2 Pose ambiguities under perspective projection -- 1.4.3 Invariants as an aid to 3-D recognition -- 1.4.4 Cross ratios: the `ratio of ratios' concept -- 1.4.5 Invariants for noncollinear points -- 1.4.6 Vanishing point detection -- 1.4.7 More on vanishing points -- 1.4.8 Summary: the value of invariants -- 1.4.9 Image transformations for camera calibration -- 1.4.10 Camera calibration -- 1.4.11 Intrinsic and extrinsic parameters -- 1.4.12 Multiple view vision -- 1.4.13 Generalized epipolar geometry -- 1.4.14 The essential matrix -- 1.4.15 The fundamental matrix -- 1.4.16 Properties of the essential and fundamental matrices. , 1.4.17 Estimating the fundamental matrix -- 1.4.18 Improved methods of triangulation -- 1.4.19 The achievements and limitations of multiple view vision -- 1.5 Part D - Tracking moving objects -- 1.5.1 Tracking - the basic concept -- 1.5.2 Alternatives to background subtraction -- 1.6 Part E - Texture analysis -- 1.6.1 Introduction -- 1.6.2 Basic approaches to texture analysis -- 1.6.3 Laws' texture energy approach -- 1.6.4 Ade's eigenfilter approach -- 1.6.5 Appraisal of the Laws and Ade approaches -- 1.6.6 More recent developments -- 1.7 Part F - From artificial neural networks to deep learning methods -- 1.7.1 Introduction: how ANNs metamorphosed into CNNs -- 1.7.2 Parameters for defining CNN architectures -- 1.7.3 Krizhevsky et al.'s AlexNet architecture -- 1.7.4 Simonyan and Zisserman's VGGNet architecture -- 1.7.5 Noh et al.'s DeconvNet architecture -- 1.7.6 Badrinarayanan et al.'s SegNet architecture -- 1.7.7 Application of deep learning to object tracking -- 1.7.8 Application of deep learning to texture classification -- 1.7.9 Texture analysis in the world of deep learning -- 1.8 Part G - Summary -- Acknowledgments -- References -- Biographies -- 2 Advanced methods for robust object detection -- 2.1 Introduction -- 2.2 Preliminaries -- 2.3 R-CNN -- 2.3.1 System design -- 2.3.2 Training -- 2.4 SPP-Net -- 2.5 Fast R-CNN -- 2.5.1 Architecture -- 2.5.2 RoI pooling -- 2.5.3 Multitask loss -- 2.5.4 Finetuning strategy -- 2.6 Faster R-CNN -- 2.6.1 Architecture -- 2.6.2 Region proposal networks -- 2.7 Cascade R-CNN -- 2.7.1 Architecture -- 2.7.2 Cascaded bounding box regression -- 2.7.3 Cascaded detection -- 2.8 Multiscale feature representation -- 2.8.1 MS-CNN -- 2.8.1.1 Architecture -- 2.8.2 FPN -- 2.8.2.1 Architecture -- Bottom-up pathway -- Top-down pathway and lateral connections -- 2.9 YOLO -- 2.10 SSD -- 2.10.1 Architecture -- 2.10.2 Training. , 2.11 RetinaNet -- 2.11.1 Focal loss -- 2.12 Detection performances -- 2.13 Conclusion -- References -- Biographies -- 3 Learning with limited supervision -- 3.1 Introduction -- 3.2 Context-aware active learning -- 3.2.1 Active learning -- 3.2.2 Context in active learning -- 3.2.3 Framework for context-aware active learning -- 3.2.4 Applications -- 3.3 Weakly supervised event localization -- 3.3.1 Network architecture -- 3.3.2 k-max multiple instance learning -- 3.3.3 Coactivity similarity -- 3.3.4 Applications -- 3.4 Domain adaptation of semantic segmentation using weak labels -- 3.4.1 Weak labels for category classification -- 3.4.2 Weak labels for feature alignment -- 3.4.3 Network optimization -- 3.4.4 Acquiring weak labels -- 3.4.5 Applications -- 3.4.6 Output space visualization -- 3.5 Weakly-supervised reinforcement learning for dynamical tasks -- 3.5.1 Learning subgoal prediction -- 3.5.2 Supervised pretraining -- 3.5.3 Applications -- 3.6 Conclusions -- Acknowledgments -- References -- Biographies -- 4 Efficient methods for deep learning -- 4.1 Model compression -- 4.1.1 Parameter pruning -- 4.1.2 Low-rank factorization -- 4.1.3 Quantization -- 4.1.4 Knowledge distillation -- 4.1.5 Automated model compression -- 4.2 Efficient neural network architectures -- 4.2.1 Standard convolution layer -- 4.2.2 Efficient convolution layers -- 4.2.3 Manually designed efficient CNN models -- 4.2.4 Neural architecture search -- 4.2.5 Hardware-aware neural architecture search -- 4.3 Conclusion -- References -- 5 Deep conditional image generation -- 5.1 Introduction -- 5.2 Visual pattern learning: a brief review -- 5.3 Classical generative models -- 5.4 Deep generative models -- 5.5 Deep conditional image generation -- 5.6 Disentanglement for controllable synthesis -- 5.6.1 Disentangle visual content and style -- 5.6.2 Disentangle structure and style. , 5.6.3 Disentangle identity and attributes -- 5.7 Conclusion and discussions -- References -- 6 Deep face recognition using full and partial face images -- 6.1 Introduction -- 6.1.1 Deep learning models -- 6.1.1.1 The structure of a CNN -- 6.1.1.2 Methods of training CNNs -- 6.1.1.3 Datasets for deep face recognition experimentation -- 6.2 Components of deep face recognition -- 6.2.1 An example of a trained CNN model for face recognition -- 6.2.1.1 Feature extraction -- 6.2.1.2 Feature classification -- 6.3 Face recognition using full face images -- 6.3.1 Similarity matching using the FaceNet model -- 6.4 Deep face recognition using partial face data -- 6.5 Specific model training for full and partial faces -- 6.5.1 Suggested architecture of the model -- 6.5.2 Training phase -- 6.6 Discussion and conclusions -- References -- Biographies -- 7 Unsupervised domain adaptation using shallow and deep representations -- 7.1 Introduction -- 7.2 Unsupervised domain adaptation using manifolds -- 7.2.1 Unsupervised domain adaptation using product manifolds -- 7.3 Unsupervised domain adaptation using dictionaries -- 7.3.1 Generalized domain adaptive dictionary learning -- 7.3.2 Joint hierarchical domain adaptation and feature learning -- 7.3.3 Incremental dictionary learning for unsupervised domain adaptation -- 7.4 Unsupervised domain adaptation using deep networks -- 7.4.1 Discriminative approaches for domain adaptation -- 7.4.2 Generative approaches for domain adaptation -- 7.5 Summary -- References -- Biographies -- 8 Domain adaptation and continual learning in semantic segmentation -- 8.1 Introduction -- 8.1.1 Problem formulation -- 8.2 Unsupervised domain adaptation -- 8.2.1 Domain adaptation problem formulation -- 8.2.2 Adaptation focus -- 8.2.2.1 Input level adaptation -- 8.2.2.2 Feature level adaptation -- 8.2.2.3 Output level adaptation. , 8.2.3 Unsupervised domain adaptation techniques -- 8.2.3.1 Domain adversarial adaptation -- 8.2.3.2 Generative-based adaptation -- 8.2.3.3 Classifier discrepancy -- 8.2.3.4 Self-supervised learning -- Self-training -- Entropy minimization -- 8.2.3.5 Multitasking -- 8.3 Continual learning -- 8.3.1 Continual learning problem formulation -- 8.3.2 Continual learning setups in semantic segmentation -- 8.3.3 Incremental learning techniques -- 8.3.3.1 Knowledge distillation -- 8.3.3.2 Parameter freezing -- 8.3.3.3 Geometrical feature-level regularization -- 8.3.3.4 New directions -- 8.4 Conclusion -- Acknowledgment -- References -- Biographies -- 9 Visual tracking -- 9.1 Introduction -- 9.1.1 Problem definition -- 9.1.2 Challenges in tracking -- 9.1.3 Motivation of the setting -- 9.1.4 Historical development -- 9.2 Template-based methods -- 9.2.1 The basics -- 9.2.2 Performance measures -- 9.2.3 Normalized cross correlation -- 9.2.4 Phase-only matched filter -- 9.3 Online-learning-based methods -- 9.3.1 The MOSSE filter -- 9.3.2 Discriminative correlation filters -- 9.3.3 Suitable features for DCFs -- 9.3.4 Scale space tracking -- 9.3.5 Spatial and temporal weighting -- 9.4 Deep learning-based methods -- 9.4.1 Deep features in DCFs -- 9.4.2 Adaptive deep features -- 9.4.3 End-to-end learning DCFs -- 9.5 The transition from tracking to segmentation -- 9.5.1 Video object segmentation -- 9.5.2 A generative VOS method -- 9.5.3 A discriminative VOS method -- 9.6 Conclusions -- Acknowledgment -- References -- Biographies -- 10 Long-term deep object tracking -- 10.1 Introduction -- 10.1.1 Challenges in video object tracking -- 10.1.1.1 Visual challenges in tracking -- 10.1.1.2 Learning challenges in tracking -- 10.1.1.3 Engineering challenges in tracking -- 10.2 Short-term visual object tracking -- 10.2.1 Shallow trackers -- 10.2.2 Deep trackers. , 10.2.2.1 Correlation filter-based tracking.

Additional Edition: ISBN 0-12-822109-7

Language: English

UID:

Format: XXI, 519 p. , online resource.

ISBN: 9781461555056

Series Statement: The Springer Handbook Series on Fuzzy Sets, 2

Content: The analysis and control of complex systems have been the main motivation for the emergence of fuzzy set theory since its inception. It is also a major research field where many applications, especially industrial ones, have made fuzzy logic famous. This unique handbook is devoted to an extensive, organized, and up-to-date presentation of fuzzy systems engineering methods. The book includes detailed material and extensive bibliographies, written by leading experts in the field, on topics such as: Use of fuzzy logic in various control systems. Fuzzy rule-based modeling and its universal approximation properties. Learning and tuning techniques for fuzzy models, using neural networks and genetic algorithms. Fuzzy control methods, including issues such as stability analysis and design techniques, as well as the relationship with traditional linear control. Fuzzy sets relation to the study of chaotic systems, and the fuzzy extension of set-valued approaches to systems modeling through the use of differential inclusions. Fuzzy Systems: Modeling and Control is part of The Handbooks of Fuzzy Sets Series. The series provides a complete picture of contemporary fuzzy set theory and its applications. This volume is a key reference for systems engineers and scientists seeking a guide to the vast amount of literature in fuzzy logic modeling and control.

Note: Introduction: The Real Contribution of Fuzzy Systems -- References -- Methodology of Fuzzy Control -- 1.1 Introduction: Why Fuzzy Control -- 1.2 How to Translate Fuzzy Rules into the Actual Control: General Idea -- 1.3 Membership Functions and Where They Come From -- 1.4 Fuzzy Logical Operations -- 1.5 Modeling Fuzzy Rule Bases -- 1.6 Inference From Several Fuzzy Rules -- 1.7 Defuzzification -- 1.8 The Basic Steps of Fuzzy Control: Summary -- 1.9 Tuning -- 1.10 Methodologies of Fuzzy Control: Which Is The Best? -- References -- to Fuzzy Modeling -- 2.1 Introduction -- 2.2 Takagi-Sugeno Fuzzy Model -- 2.3 Sugeno-Kang Method -- 2.4 Sofia -- 2.5 Conclusion -- References -- Fuzzy Rule-Based Models and Approximate Reasoning -- 3.1 Introduction -- 3.2 Linguistic Models -- 3.3 Inference with Fuzzy Models -- 3.4 Mamdani (Constructive) and Logical (Destructive) Models -- 3.5 Linguistic Models With Crisp Outputs -- 3.6 Multiple Variable Linguistic Models -- 3.7 Takagi-Sugeno-Kang (TSK) Models -- 3.8 A General View of Fuzzy Systems Modeling -- 3.9 MICA Operators -- 3.10 Aggregation in Fuzzy Systems Modeling -- 3.11 Dynamic Fuzzy Systems Models -- 3.12 TSK Models of Dynamic Systems -- 3.13 Conclusion -- References -- Fuzzy Rule Based Modeling as a Universal Approximation Tool -- 4.1 Introduction -- 4.2 Main Universal Approximation Results -- 4.3 Can We Guarantee That the Approximation Function has the Desired Properties (Such as Smoothness, Simplicity, Stability of the Resulting Control, etc.)? -- 4.4 Auxiliary Approximation Results -- 4.5 How to Make the Approximation Results More Realistic -- 4.6 From All Fuzzy Rule Based Modeling Methodologies That are Universal Appriximation Tools, Which Methodology Should We Choose? -- 4.7 A Natural Next Question: When Should We Choose Fuzzy Rule Based Modeling in the First Place? and When is, Say, Neural Modeling Better? -- References -- Fuzzy and Linear Controllers -- 5.1 Introduction -- 5.2 Modal Equivalence Principle -- 5.3 Application to PI Controllers -- 5.4 Application to State Feedback Fuzzy Controllers -- 5.5 Equivalence for Sugeno’s Controllers -- 5.6 Conclusion -- References -- Designs of Fuzzy Controllers -- 6.1 Introduction -- 6.2 Fuzzy Control Techniques -- 6.3 The FC as a Nonlinear Transfer Element -- 6.4 Heuristic Control and Model Based Control -- 6.5 Supervisory Control -- 6.6 Adaptive Control -- References -- Stability of Fuzzy Controllers -- 7.1 Introduction -- 7.2 Stability Conditions Based on Lyapunov Approach -- 7.3 Fuzzy Controller Design -- References -- Learning and Tuning of Fuzzy Rules -- 8.1 Introduction -- 8.2 Learning Fuzzy Rules -- 8.3 Tuning Fuzzy Rules -- 8.4 Learning and Tuning Fuzzy Rules -- 8.5 Summary and Conclusion -- References -- Neurofuzzy Systems -- 9.1 Introduction -- 9.2 Synergy of Neural Networks and Fuzzy Logic -- 9.3 Fuzzy sets in the technology of neurocomputing -- 9.4 Hybrid Fuzzy Neural Computing Structures -- 9.5 Fuzzy Neurocomputing — a Fusion of Fuzzy and Neural Technology -- 9.6 Constructing Hybrid Neurofuzzy Systems -- 9.7 Summary -- References -- Neural Networks and Fuzzy Logic -- 10.1 Introduction -- 10.2 Liquid Level Control Problem -- 10.3 Fuzzy Rule Development -- 10.4 Integrated System Architectures -- 10.5 FNN3 Training Algorithm -- 10.6 Conclusions -- References -- Fuzzy Genetic Algorithms -- 11.1 Introduction -- 11.2 What is a Genetic Algorithm? -- 11.3 Fuzzy Genetic Algorithms -- 11.4 Fuzzy Genetic Programming -- References -- Fuzzy Systems, Viability Theory and Toll Sets -- 12.1 Introduction -- 12.2 Convexification Procedures -- 12.3 Toll Sets -- 12.4 Fuzzy or Toll Differential Inclusions -- References -- Chaos and Fuzzy Systems -- 13.1 Introduction -- 13.2 Preliminaries -- 13.3 Dynamical Systems and Chaos -- 13.4 Information Content of Fuzzy Sets -- 13.5 Chaotic Mappings on (Dn, d?) -- 13.6 r-Fuzzification. -- 13.7 Chaos and Fuzzification -- 13.8 Nondegenerate Periodicities and Chaos -- 13.9 Examples of Fuzzy Chaos -- 13.10 Conclusion -- 13.11 Appendix -- References.

In: Springer eBooks

Additional Edition: Printed edition: ISBN 9781461375159

Language: English

DOI: 10.1007/978-1-4615-5505-6

URL: http://dx.doi.org/10.1007/978-1-4615-5505-6

URL: Volltext

UID:

Format: 1 online resource (448 pages)

Edition: 1st ed.

ISBN: 9783631885857

Series Statement: Language Testing and Evaluation Series ; v.48

Content: With the growing recognition of the need to broaden the definition of Interactional Competence (IC) for communication and learning, this monograph offers the first book-length treatment on the conceptualization, development and validation of IC assessment instruments.

Note: Cover -- Series Information -- Copyright Information -- Table of Contents -- List of Tables -- Preface -- Foreward -- Summary of the Book -- 中文概 (Summary of the Book in Chinese) -- Acknowledgements -- List of Tables -- List of Figures -- List of abbreviations -- Chapter 1 Introduction -- Chapter 2 Literature review -- 2.1 A philosophical account of interaction -- 2.1.1 Interaction and pragmatics -- 2.1.2 An intentionalist perspective on interaction -- 2.1.3 A rationalist-utilitarian perspective on interaction -- 2.1.4 An empiricist-interactional perspective on interaction -- 2.1.5 A unified account of interaction for assessment -- 2.2 Interaction in computer-mediated communication -- 2.2.1 CMC and L2-speaker interaction -- 2.2.2 An empiricist-interactional approach to CMC -- 2.2.3 Five CMC considerations for test design -- 2.3 Defining an IC construct: A theoretical discussion -- 2.3.1 A brief history of IC -- 2.3.2 Assessing IC -- 2.3.3 Differentiating speaking/LC and talking/IC -- 2.3.4 Strong on speaking/LC but weak on talking/IC -- 2.3.5 Strong on talking/IC but weak on speaking/LC -- 2.4 Defining an IC construct: An operational discussion -- 2.4.1 Are we measuring talking/IC or speaking/LC? -- 2.4.2 Separating IC from LC -- 2.4.3 Going beyond the mechanics of interaction: Hymes and Goffman revisited -- 2.4.4 Emotional, logical and moral IC markers -- 2.4.5 Aristotelian artistic proofs: Pathos, logos, and ethos -- 2.4.6 Membership categorization analysis: Categorial IC markers -- 2.5 Designing IC test tasks -- 2.5.1 From the target language domain to a test -- 2.5.2 Task-based needs analysis -- 2.5.3 Triangulation in needs analysis -- 2.5.4 Paucity of TBNA in L2 Chinese -- 2.6 Designing IC rating materials -- 2.6.1 IC rating materials development -- 2.6.2 The rater perspective and indigenous criteria. , 2.6.3 Test-taker exemplars in IC rating -- Chapter 3 Interpretive argument and research design -- 3.1 The inferences and assumptions in the interpretive argument -- 3.1.1 The domain description inference -- 3.1.2 The evaluation inference -- 3.1.3 The generalization inference -- 3.1.4 The explanation inference -- 3.1.5 The extrapolation inference -- 3.2 The design of the three studies -- 3.2.1 Study one, relevant assumptions and research questions -- 3.2.2 Study two, relevant assumptions and research questions -- 3.2.3 Study three, relevant assumptions and research questions -- Chapter 4 Study one: Task-based needs analysis and test design -- 4.1 Methodology of study one -- 4.1.1 Participants -- 4.1.1.1 TBNA participants -- 4.1.1.2 Test design participants -- Item review and moderation participants -- Norming session participants -- 4.1.2 Instruments -- 4.1.2.1 TBNA instruments -- Hermeneutic-Socratic interviews -- Longitudinal reflective diaries -- 4.1.2.2 Test design instruments -- Norming questionnaires -- 4.1.3 Procedures -- 4.1.3.1 TBNA procedure -- 4.1.3.2 Test design procedure -- 4.1.4 Data analysis -- 4.1.4.1 TBNA data analysis -- 4.1.4.2 Test design data analysis -- 4.2 Results and initial discussion of study one -- 4.2.1 TBNA results -- 4.2.1.1 Social actions -- 4.2.1.2 Sociopragmatic and pragmalinguistic issues -- 4.2.1.3 Interactional features and content knowledge -- 4.2.1.4 Linguistic issues and multimodal cues -- 4.2.2 The test specifications -- 4.2.3 Generating draft items -- 4.2.4 Revising the draft items -- 4.2.5 Finalizing the IC test -- Chapter 5 Study two: Pilot test, indigenous criteria, and rating materials -- 5.1 Methodology of study two -- 5.1.1 Participants -- 5.1.1.1 Pilot test test-takers -- 5.1.1.2 Pilot test raters -- 5.1.1.3 Everyday-life domain experts -- 5.1.2 Instruments -- 5.1.3 Procedures and data analysis. , 5.1.3.1 Pilot testing -- 5.1.3.2 Eliciting DEs' indigenous IC criteria -- 5.1.3.3 Developing a DEs' indigenous IC criteria rating scale -- 5.1.3.4 Theoretically expanding the IC rating scale -- 5.2 Results and initial discussion of study two -- 5.2.1 Pilot test findings -- 5.2.2 Domain experts' indigenous IC criteria -- 5.2.2.1 Conflict management -- 5.2.2.2 Solidarity promotion -- 5.2.2.3 Reasoning skills -- 5.2.2.4 Personal qualities -- 5.2.2.5 Social relations -- 5.2.2.6 Linguistic choices -- 5.2.2.7 Prosodic features -- 5.2.2.8 The structure of talk -- 5.2.2.9 Strategies, cultural norms, and miscellaneous -- 5.2.3 An indigenous IC rating scale -- 5.2.3.1 Collapsing indigenous criteria into five rating categories -- 5.2.3.2 Identifying steps in the rating categories -- 5.2.3.3 Identifying sub rating categories and extracting descriptors -- 5.2.3.4 Indigenous rating category: Conflict management -- 5.2.3.5 Indigenous rating category: Solidarity promotion -- 5.2.3.6 Indigenous rating category: Personal qualities -- 5.2.3.7 Indigenous rating category: Reasoning skills -- 5.2.3.8 Indigenous rating category: Social relations -- 5.2.4 CA and MCA validation and the generation of exemplars -- 5.2.4.1 The rationale behind the CA and MCA validation of the scale -- 5.2.4.2 The sample test task and the pilot test test-takers selected -- 5.2.4.3 Theorizing conflict management and social relations -- 5.2.4.4 Theorizing solidarity promotion and reasoning skills -- 5.2.4.5 Theorizing personal qualities -- 5.2.4.6 Address terms in social role management -- 5.2.4.7 Categories and predicates -- 5.2.4.8 Beginner L2-speakers' category knowledge -- 5.2.4.9 The power of categorization -- 5.2.5 A theorized IC rating scale -- 5.2.5.1 Theorized rating category: Disaffiliation control -- 5.2.5.2 Theorized rating category: Affiliation promotion. , 5.2.5.3 Theorized rating category: Morality -- 5.2.5.4 Theorized rating category: Reasoning -- 5.2.5.5 Theorized rating category: Social role management -- 5.2.6 A unified model of IC -- Chapter 6 Study three: The IC test and accompanying questionnaires -- 6.1 Methodology -- 6.1.1 Participants -- 6.1.1.1 Main testing test-takers -- 6.1.1.2 Main testing test-taker peers -- 6.1.1.3 Main testing IC test raters -- 6.1.2 Instruments -- 6.1.2.1 The IC test -- 6.1.2.2 Test-taker background questionnaires -- 6.1.2.3 Self and peer-assessment questionnaires -- 6.1.2.4 Rater training materials -- 6.1.3 Procedures -- 6.1.3.1 Administering the IC test and questionnaires -- 6.1.3.2 Training raters -- 6.1.3.3 Rater rating -- 6.1.4 Data analysis -- 6.2 Results and initial discussion -- 6.2.1 Rasch analyses of IC test scores -- 6.2.1.1 The Wright map -- 6.2.1.2 The candidate measurement report -- 6.2.1.3 The rater measurement report -- 6.2.1.4 The criterion measurement report -- 6.2.1.5 The item measurement report -- 6.2.1.6 The rating scale category functioning -- 6.2.1.7 The dimensionality of the data structure -- 6.2.2 Correlation between IC and LC -- 6.2.3 Rasch analyses of questionnaires -- 6.2.3.1 The disaffiliation control sub-section -- 6.2.3.2 The affiliation promotion sub-section -- 6.2.3.3 The morality sub-section -- 6.2.3.4 The reasoning sub-section -- 6.2.3.5 The social role management sub-section -- 6.2.3.6 Overall results of self and peer IC questionnaires -- 6.2.4 Correlation between the IC test and questionnaires -- 6.2.5 Rasch analyses of extrapolation and attitude items -- 6.2.5.1 Explicit extrapolation questions -- 6.2.5.2 Test-taker attitude questions -- Chapter 7 Validity argument and overall discussions -- 7.1 The domain description inference -- 7.1.1 Domain description assumption 1 -- 7.1.2 Domain description assumption 2. , 7.1.3 Domain description assumption 3 -- 7.1.4 Domain description assumption 4 -- 7.2 The evaluation inference -- 7.2.1 Evaluation assumption 1 -- 7.2.2 Evaluation assumption 2 -- 7.2.3 Evaluation assumption 3 -- 7.2.4 Evaluation assumption 4 -- 7.3 The generalization inference -- 7.3.1 Generalization assumption 1 -- 7.3.2 Generalization assumption 2 -- 7.3.3 Generalization assumption 3 -- 7.3.4 Generalization assumption 4 -- 7.4 The explanation inference -- 7.4.1 Explanation assumption 1 -- 7.4.2 Explanation assumption 2 -- 7.4.3 Explanation assumption 3 -- 7.4.4 Explanation assumption 4 -- 7.4.5 Explanation assumption 5 -- 7.5 The extrapolation inference -- 7.5.1 Extrapolation assumption 1 -- 7.5.2 Extrapolation assumption 2 -- 7.5.3 Extrapolation assumption 3 -- 7.6 Considerations outside the validity framework -- 7.6.1 CMC and practicality -- 7.6.2 Stakeholder take-up and assessment literacy -- 7.6.3 Building a universal model of IC -- 7.6.4 Application of the IC construct and rating scale -- 7.6.5 The parameters of the IC tasks -- Chapter 8 Conclusions -- 8.1 Significance of this book -- 8.2 Outstanding issues, limitations, and future research -- References -- Appendix I: S-H interview protocol -- Appendix II: Norming questionnaire -- English translation -- Chinese version -- Appendix III: The IC test -- Appendix IV: The IC rating scale -- English version -- Chinese version -- Appendix V: The self-assessment questionnaire -- English version -- Chinese version -- Appendix VI: The peer-assessment questionnaire -- Author Information -- Series Index.

Additional Edition: Print version: Harsch, Claudia Assessing Interactional Competence Frankfurt a.M. : Peter Lang GmbH, Internationaler Verlag der Wissenschaften,c2024 ISBN 9783631882504

Language: English

Keywords: Electronic books. ; Electronic books.

URL: Click to View

URL: Click here to view book

UID:

Format: 1 Online-Ressource (580 Seiten) , Illustrationen

ISBN: 9783631877487

Series Statement: Linguistica Philologica 1

Content: The present volume contains a selection of papers presented at the Fifth International Symposium Russian Grammar: System–Usus–Language Variation, from September 22 to 24, 2021, at the University of Potsdam (Germany). The selected essays tackle the issues that arise when Russian Grammar meets new linguistic paradigms (such as corpus linguistics) and new challenges (such as heritage languages). The relevant findings are discussed with a particular focus on an updated version of the 1980 Academy grammar of Russian.

Note: Vladislava Warditz : Introduction —Natalʹia Bogdanova-Beglarian : Conjunctionalization as an active process in spoken Russian —Natalʹia Bragina : Conceptual agreement in coordinating syntactic constructions: language clichés in the making —Buyinqimike, Olga Ilyina, Yulia Naumenko : A parallel catalogue of time constructions in Russian and Chinese —Irina Dʹiachkova : Extra- and intralingual factors in the evolution of Russian numerals —Galina Dobrova : Child language research in the study of Russian grammar (through the lens of personal deixis) —Liudmila Donina, Klara Sharafadina : Material symbolic means of expressing grammatical meanings in non-verbal information systems: the example of "flower language" —Aleksei Dremov : The communicative event, its nature, structure and content (from the perspective of modern systems linguistics) —Mikhail Dymarskii : The conjunction togda kak and the category of logic order —Natalʹia Fateeva, Zoia Petrova : Gender and personification: personifying nouns in 19th–21st century Russian poetry —Liudmila Fedorova : The prefix pre- as an intensity marker —Elena Gekkina : Towards a characterization of contemporary dynamics in word formation: types of new productive units —Anastasia Gerasimova, Ekaterina Lyutikova : Licensing ni-pronouns in control infinitives: an experimental study —Anna Gik : The verbless Kuzmin: structure and semantics of verbless verse —Olʹga Glazunova : Algorithmic models as a principle for describing language and constructing speech: the formation of the past tense of Russian verbs with the suffix -nu- —Gerda Haßler : Adverbal expression of aspectuality and interaction with perfective and imperfective verbs —Liudmila Iniutina : On the formation of syntactic norms in Russian (based on the material of 17th century Siberian business manuscripts) —Victoria Kazakovskaya : Feedback in verb acquisition: Evidence from Russian adult–child interaction —Olʹga Khorokhordina : The Russian biaspectual verb from the perspective of textual typology —Irina Kobozeva : Irina Kobozeva —Holger Kuße : Seducing, Flattering and Zombifying in Russian. An Inquiry into the History of Perlocution —Galina Kustova : Systemic links between parenthetical and conjoint constructions —Yulia Kuvshinskaia, Anna Aksenova : Current trends in the use of the connector to estʹ —Natalʹia Kuznetsova, Olʹga Pochtareva : Natalʹia Kuznetsova, Olʹga Pochtareva —Elena Lazutkina : On pragmatic mechanisms of the system of language: syntagmatics and paradigmatic relations —Anna Lentovskaya : Anna Lentovskaya —Aleksandr Letuchii : Aleksandr Letuchii —Elena Markova : Univerbation in modern Russian: varieties, models of education, functioning —Monica Perotto : Monica Perotto —Nina Romanova, Tatʹiana Skorikova, Irina Amelina, Tatʹiana Kovaleva : Nina Romanova, Tatʹiana Skorikova, Irina Amelina, Tatʹiana Kovaleva —Svetlana Rusanova : The formation of the norm of 18th century official Russian and the problem of language unit variability —Igorʹ Sharonov : Possessive adjectives: on the periphery of linguistic research —Aleksei Shmelev : Grammatical gender, generalized reference, and the focus of empathy —Elena Shmeleva : V Internete, v Feisbuke, v votsape: spatial v-/na- constructions with new words —Svetlana Solovʹeva : The pragmatic potential of syntactic constructions with parataxis —Ekaterina Troshchenkova : Alignment of pragmatic markers in spoken Russian: quantitative and qualitative aspects —Irina Vepreva : The discourse of the coronavirus pandemic: grammatical variation in forms of the prepositional case of nouns with the prepositions v and na —Anton Zimmerling : Primary vs. secondary predicates in Russian and the SLP vs. ILP distinction revisited —Liudmila Zubova : Systemic variation in grammatical norms in contemporary Russian poetry .

Additional Edition: ISBN 9783631864586

Additional Edition: Erscheint auch als Druck-Ausgabe Russian grammar: system - usus - variation Berlin : Peter Lang, 2021 ISBN 9783631864586

Language: English

Keywords: Russisch ; Grammatik ; Konferenzschrift

DOI: 10.3726/b19724

URL: lizenzpflichtig

URL: lizenzpflichtig

Author information: Warditz, Vladislava 1972-

UID:

Format: 200 S. , Ill.

Series Statement: Janua linguarum : Series minor 91

Uniform Title: Principy modelirovanija jazyka

Note: Aus dem Russ. übers.

Language: English

Subjects: Comparative Studies. Non-European Languages/Literatures

Keywords: Modell ; Linguistik ; Linguistik ; Dokumentationssprache ; Formale Sprache