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  1. Navigating the Web
    a qualitative eye tracking-based study of translators' Web search behaviour
    Author: Shih, Claire Yi-Yi
    Published: 2023
    Publisher:  Cambridge University Press, Cambridge

    Location:
    Universität Mainz, Bereichsbibliothek Translations-, Sprach- und Kulturwissenschaft
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    TRA-ALLG 08:60
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9781009114134
    RVK Categories: ES 700
    Series: Cambridge elements. Elements in translation and interpreting
    Subjects: Chinesisch; Human-computer interaction; LANGUAGE ARTS & DISCIPLINES / Linguistics; Mensch-Computer-Interaktion; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Translation & interpretation; Übersetzen und Dolmetschen
    Scope: 69 Seiten, Illustrationen
    Notes:

    Literaturverzeichnis Seite [62]-69
  2. Sprachkontrolle im Spiegel der Maschinellen Übersetzung
    Author: Marzouk, Shaimaa
    Published: 2022
    Publisher:  Language Science Press, [Erscheinungsort nicht ermittelbar] ; OAPEN FOUNDATION, The Hague

    Examining the general impact of the Controlled Languages rules in the context of Machine Translation has been an area of research for many years. The present study focuses on the following question: How do the Controlled Language (CL) rules impact... more

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    Technische Hochschule Bingen, Bibliothek
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    TU Darmstadt, Universitäts- und Landesbibliothek - Stadtmitte
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    Bibliothek der Frankfurt University of Applied Sciences
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    Hessisches BibliotheksInformationsSystem hebis
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    Universitätsbibliothek J. C. Senckenberg, Zentralbibliothek (ZB)
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    Bibliothek des Bischöflichen Priesterseminars
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    Technische Hochschule Mittelhessen, Hochschulbibliothek Gießen
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    Universitätsbibliothek Gießen
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    Universitätsbibliothek Kassel, Landesbibliothek und Murhardsche Bibliothek der Stadt Kassel
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    Akademie der Wissenschaften und der Literatur, Bibliothek
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    Bibliothek der Hochschule Mainz, Untergeschoss
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    LEIZA - Leibniz-Zentrum für Archäologie, Bibliothek
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    Leibniz-Institut für Europäische Geschichte, Bibliothek
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    Martinus-Bibliothek, Wissenschaftliche Diözesanbibliothek
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    Universität Mainz, Zentralbibliothek
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    110 Herder-Institut für historische Ostmitteleuropaforschung – Institut der Leibniz-Gemeinschaft, Forschungsbibliothek
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    Archivschule Marburg, Bibliothek
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    Examining the general impact of the Controlled Languages rules in the context of Machine Translation has been an area of research for many years. The present study focuses on the following question: How do the Controlled Language (CL) rules impact the Machine Translation (MT) output individually? Analyzing a German corpus-based test suite of technical texts that have been translated into English by different MT systems, the study endeavors to answer this question at different levels: the general impact of CL rules (rule- and system-independent), their impact at rule level (system-independent), their impact at system level (rule-independent), and at rule and system level. The results of five MT systems (a rule-based system, a statistical system, two differently constructed hybrid systems, and a neural system) are analyzed and contrasted. For this, a mixed-methods triangulation approach that includes error annotation, human evaluation, and automatic evaluation was applied. The data were analyzed both qualitatively and quantitatively based on the following parameters: number and type of MT errors, style and content quality, and scores from two automatic evaluation metrics. In line with many studies, the results show a general positive impact of the applied CL rules on the MT output. However, at rule level, only four rules proved to have positive effects on all parameters; three rules had negative effects on the parameters; and two rules did not show any significant impact. At rule and system level, the rules affected the MT systems differently, as expected. Some rules that had a positive impact on earlier MT approaches did not show the same impact on the neural MT approach. Furthermore, the neural MT delivered distinctly better results than earlier MT approaches, namely the highest error-free, style and content quality rates both before and after the rules application, which indicates that the neural MT offers a promising solution that no longer requires CL rules for improving the MT output, what in turn allows for a more natural style.

     
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    Source: Union catalogues
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9783985540525
    RVK Categories: ES 710
    DDC Categories: 020; 004; 400
    Subjects: Maschinelle Übersetzung; Terminologische Kontrolle; Natural language & machine translation
    Other subjects: Computers; Artificial Intelligence; Natural Language Processing
  3. Machine translation for everyone
    Contributor: Kenny, Dorothy (Herausgeber)
    Published: 2022
    Publisher:  Language Science Press, [Erscheinungsort nicht ermittelbar] ; OAPEN FOUNDATION, The Hague

    Language learning and translation have always been complementary pillars of multilingualism in the European Union. Both have been affected by the increasing availability of machine translation (MT): language learners now make use of free online MT to... more

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    Technische Hochschule Bingen, Bibliothek
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    Bibliothek der Hochschule Darmstadt, Zentralbibliothek
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    TU Darmstadt, Universitäts- und Landesbibliothek - Stadtmitte
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    Bibliothek der Frankfurt University of Applied Sciences
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    Universitätsbibliothek J. C. Senckenberg, Zentralbibliothek (ZB)
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    Hochschul- und Landesbibliothek Fulda, Standort Heinrich-von-Bibra-Platz
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    Technische Hochschule Mittelhessen, Hochschulbibliothek Gießen
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    Universitätsbibliothek Gießen
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    Universitätsbibliothek Kassel, Landesbibliothek und Murhardsche Bibliothek der Stadt Kassel
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    Akademie der Wissenschaften und der Literatur, Bibliothek
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    Bibliothek der Hochschule Mainz, Untergeschoss
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    LEIZA - Leibniz-Zentrum für Archäologie, Bibliothek
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    Martinus-Bibliothek, Wissenschaftliche Diözesanbibliothek
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    Universität Mainz, Zentralbibliothek
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    Language learning and translation have always been complementary pillars of multilingualism in the European Union. Both have been affected by the increasing availability of machine translation (MT): language learners now make use of free online MT to help them both understand and produce texts in a second language, but there are fears that uninformed use of the technology could undermine effective language learning. At the same time, MT is promoted as a technology that will change the face of professional translation, but the technical opacity of contemporary approaches, and the legal and ethical issues they raise, can make the participation of human translators in contemporary MT workflows particularly complicated. Against this background, this book attempts to promote teaching and learning about MT among a broad range of readers, including language learners, language teachers, trainee translators, translation teachers, and professional translators. It presents a rationale for learning about MT, and provides both a basic introduction to contemporary machine-learning based MT, and a more advanced discussion of neural MT. It explores the ethical issues that increased use of MT raises, and provides advice on its application in language learning. It also shows how users can make the most of MT through pre-editing, post-editing and customization of the technology.

     
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    Source: Union catalogues
    Contributor: Kenny, Dorothy (Herausgeber)
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9783985540457
    RVK Categories: ES 710
    DDC Categories: 004; 400
    Subjects: Maschinelle Übersetzung; Natural language & machine translation
    Other subjects: Computers; Artificial Intelligence; Natural Language Processing
  4. Machine translation and foreign language learning
    Author: Tekwa, Kizito
    Published: [2023]
    Publisher:  Springer, Singapore

    The book investigates how machine translation (MT) provides opportunities and increases the willingness to communicate in a foreign language. It is informed by a mixed methods methodological approach that analyzes quantitative and qualitative data of... more

     

    The book investigates how machine translation (MT) provides opportunities and increases the willingness to communicate in a foreign language. It is informed by a mixed methods methodological approach that analyzes quantitative and qualitative data of questionnaires and real-time instant messages (IM). The book is unique because it contains tables, figures, and screenshots of actual real-time IM exchanges. It is innovative in discussing IM translation, a novel form of MT, and demonstrates how the technology offers English foreign language learners, in this case, Chinese college students, communication opportunities while increasing their willingness to communicate. The study provides an interesting insight into IM user profiles, clients, and usages. Smartphone screenshots are the locale of the study whose findings have far-reaching implications for students, language and translation instructors, and curriculum designers

     
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  5. <<The>> book of chatbots
    From ELIZA to ChatGPT
    Author: Ciesla, Robert
    Published: [2024]
    Publisher:  Springer, Cham

    Primitive software chatbots emerged in the 1960s, evolving swiftly through the decades and becoming able to provide engaging human-to-computer interactions sometime in the 1990s. Today, conversational technology is ubiquitous in many homes. Paired... more

     

    Primitive software chatbots emerged in the 1960s, evolving swiftly through the decades and becoming able to provide engaging human-to-computer interactions sometime in the 1990s. Today, conversational technology is ubiquitous in many homes. Paired with web-searching abilities and neural networking, modern chatbots are capable of many tasks and are a major driving force behind machine learning and the quest for strong artificial intelligence, also known as artificial general intelligence (AGI). Sophisticated artificial intelligence is changing the online world as advanced software chatbots can provide customer service, research duties, and assist in healthcare. Modern chatbots have indeed numerous applications - including those of a malicious nature. They can write our essays, conduct autonomous scams, and potentially influence politics. The Book of Chatbots is both a retrospective and a review of current artificial intelligence-driven conversational solutions. It explores their appeal to businesses and individuals as well as their greater social aspects, including the impact on academia. The book explains all relevant concepts for readers with no previous knowledge in these topics. Unearthing the secrets of virtual assistants such as the (in)famous ChatGPT and many other exciting technologies, The Book of Chatbots is meant for anyone interested in the topic, laypeople and IT-enthusiasts alike

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9783031510038
    Subjects: Artificial intelligence; COMPUTERS / Artificial Intelligence; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / History; COMPUTERS / Social Aspects / General; Computing & information technology; Digital- und Informationstechnologien: soziale und ethische Aspekte; Ethical & social aspects of IT; Informatik und Informationstechnologie; Künstliche Intelligenz; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Technikgeschichte; Chatbot; Künstliche Intelligenz
    Scope: xiv, 159 Seiten, Illustrationen
    Notes:

    Preface.- About the Author.- 1. The Challenge of the Turing test.- 2. Developments in Artificial Intelligence and Linguistics.- 3. The Classic Era of Chatbots.- 4. The Current Era of Chatbots.- 5. AI and Chatbots in Healthcare.- 6. Chatbots in eCommerce.- 7. Chatbots as Villains - The Antisocial Uses of AI.- 8. Towards an Artificial General Intelligence.
  6. Revealing Media Bias in News Articles
    NLP Techniques for Automated Frame Analysis
    Author: Hamborg, Felix
    Published: 2023
    Publisher:  Springer International Publishing AG, Cham

    This open access book presents an interdisciplinary approach to reveal biases in English news articles reporting on a given political event. The approach named person-oriented framing analysis identifies the coverage's different perspectives on the... more

     

    This open access book presents an interdisciplinary approach to reveal biases in English news articles reporting on a given political event. The approach named person-oriented framing analysis identifies the coverage's different perspectives on the event by assessing how articles portray the persons involved in the event. In contrast to prior automated approaches, the identified frames are more meaningful and substantially present in person-oriented news coverage.The book is structured in seven chapters: Chapter 1 presents a few of the severe problems caused by slanted news coverage and identifies the research gap that motivated the research described in this thesis. Chapter 2 discusses manual analysis concepts and exemplary studies from the social sciences and automated approaches, mostly from computer science and computational linguistics, to analyze and reveal media bias. This way, it identifies the strengths and weaknesses of current approaches for identifying and revealing media bias. Chapter 3 discusses the solution design space to address the identified research gap and introduces person-oriented framing analysis (PFA), a new approach to identify substantial frames and to reveal slanted news coverage. Chapters 4 and 5 detail target concept analysis and frame identification, the first and second component of PFA. Chapter 5 also introduces the first large-scale dataset and a novel model for target-dependent sentiment classification (TSC) in the news domain. Eventually, Chapter 6 introduces Newsalyze, a prototype system to reveal biases to non-expert news consumers by using the PFA approach. In the end, Chapter 7 summarizes the thesis and discusses the strengths and weaknesses of the thesis to derive ideas for future research on media bias.This book mainly targets researchers and graduate students from computer science, computational linguistics, political science, and further social sciences who want to get an overview of the relevant state of the art in the other related disciplines and understand and tackle the issue of bias from a more effective, interdisciplinary viewpoint

     
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  7. Revealing Media Bias in News Articles
    NLP Techniques for Automated Frame Analysis
    Author: Hamborg, Felix
    Published: 2023
    Publisher:  Springer International Publishing AG, Cham

    This open access book presents an interdisciplinary approach to reveal biases in English news articles reporting on a given political event. The approach named person-oriented framing analysis identifies the coverage's different perspectives on the... more

     

    This open access book presents an interdisciplinary approach to reveal biases in English news articles reporting on a given political event. The approach named person-oriented framing analysis identifies the coverage's different perspectives on the event by assessing how articles portray the persons involved in the event. In contrast to prior automated approaches, the identified frames are more meaningful and substantially present in person-oriented news coverage.The book is structured in seven chapters: Chapter 1 presents a few of the severe problems caused by slanted news coverage and identifies the research gap that motivated the research described in this thesis. Chapter 2 discusses manual analysis concepts and exemplary studies from the social sciences and automated approaches, mostly from computer science and computational linguistics, to analyze and reveal media bias. This way, it identifies the strengths and weaknesses of current approaches for identifying and revealing media bias. Chapter 3 discusses the solution design space to address the identified research gap and introduces person-oriented framing analysis (PFA), a new approach to identify substantial frames and to reveal slanted news coverage. Chapters 4 and 5 detail target concept analysis and frame identification, the first and second component of PFA. Chapter 5 also introduces the first large-scale dataset and a novel model for target-dependent sentiment classification (TSC) in the news domain. Eventually, Chapter 6 introduces Newsalyze, a prototype system to reveal biases to non-expert news consumers by using the PFA approach. In the end, Chapter 7 summarizes the thesis and discusses the strengths and weaknesses of the thesis to derive ideas for future research on media bias.This book mainly targets researchers and graduate students from computer science, computational linguistics, political science, and further social sciences who want to get an overview of the relevant state of the art in the other related disciplines and understand and tackle the issue of bias from a more effective, interdisciplinary viewpoint

     
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  8. Deep Learning Based Speech Quality Prediction
    Author: Mittag, Gabriel
    Published: 2023
    Publisher:  Springer Nature Switzerland AG, Cham

    This book presents how to apply recent machine learning (deep learning) methods for the task of speech quality prediction. The author shows how recent advancements in machine learning can be leveraged for the task of speech quality prediction and... more

     

    This book presents how to apply recent machine learning (deep learning) methods for the task of speech quality prediction. The author shows how recent advancements in machine learning can be leveraged for the task of speech quality prediction and provides an in-depth analysis of the suitability of different deep learning architectures for this task. The author then shows how the resulting model outperforms traditional speech quality models and provides additional information about the cause of a quality impairment through the prediction of the speech quality dimensions of noisiness, coloration, discontinuity, and loudness

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9783030914813
    Edition: 1st ed. 2022
    Series: T-Labs Series in Telecommunication Services
    Subjects: Acoustic & sound engineering; Akustik und Tontechnik; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / User Interfaces; Digitale Signalverarbeitung (DSP); Elektronik; Imaging systems & technology; Mensch-Computer-Interaktion; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; TECHNOLOGY & ENGINEERING / Acoustics & Sound; TECHNOLOGY & ENGINEERING / Electronics / General; User interface design & usability
    Scope: 165 Seiten
    Notes:

    1 Introduction2 Quality Assessment of Transmitted Speech3 Neural Network Architectures for Speech Quality Prediction4 Double-Ended Speech Quality Prediction Using Siamese Networks5 Prediction of Speech Quality Dimensions With Multi-Task Learning6 Bias-Aware Loss for Training From Multiple Datasets7 NISQA - A Single-Ended Speech Quality Model8 ConclusionsA Dataset Condition TablesB Train and Validation Dataset Dimension HistogramsReferences
  9. Proceedings of 2nd International Conference on Artificial Intelligence: Advances and Applications
    ICAIAA 2021
    Contributor: Bundele, Mahesh (HerausgeberIn); Lalwani, Mahendra (HerausgeberIn); Mathur, Garima (HerausgeberIn); Paprzycki, Marcin (HerausgeberIn)
    Published: 2023
    Publisher:  Springer Verlag, Singapore, Singapore

    This book gathers outstanding research papers presented in the 2nd International Conference on Artificial Intelligence: Advances and Application (ICAIAA 2021), held in Poornima College of Engineering, Jaipur, India during 27-28 March 2021. This book... more

     

    This book gathers outstanding research papers presented in the 2nd International Conference on Artificial Intelligence: Advances and Application (ICAIAA 2021), held in Poornima College of Engineering, Jaipur, India during 27-28 March 2021. This book covers research works carried out by various students such as bachelor, master and doctoral scholars, faculty and industry persons in the area of artificial intelligence, machine learning, deep learning applications in healthcare, agriculture, business, security, etc. It will also cover research in core concepts of computer networks, intelligent system design and deployment, real time systems, WSN, sensors and sensor nodes, SDN, NFV, etc

     
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    Source: Union catalogues
    Contributor: Bundele, Mahesh (HerausgeberIn); Lalwani, Mahendra (HerausgeberIn); Mathur, Garima (HerausgeberIn); Paprzycki, Marcin (HerausgeberIn)
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9789811663345
    Edition: 1st ed. 2022
    Series: Algorithms for Intelligent Systems
    Subjects: Artificial intelligence; COMPUTERS / Artificial Intelligence; COMPUTERS / Computer Graphics / General; COMPUTERS / Data Processing / Speech & Audio Processing; Circuits & components; Image processing; Künstliche Intelligenz; Maschinelles Sehen, Bildverstehen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Physik der kondensierten Materie (Flüssigkeits- und Festkörperphysik); TECHNOLOGY & ENGINEERING / Electronics / Circuits / General; TECHNOLOGY & ENGINEERING / Engineering (General)
    Scope: 871 Seiten
    Notes:

    Utilising BIM in Construction Safety Planning: A Systematic Review.- Exploring Regulation of Entry in the Construction Sector in South Africa.- Benefits of BIM in Reducing Errors in Indian Construction Projects.- Stakeholder Management in Public-Private-Partnership Projects: A Review.- The Role of a Quantity Surveyor Throughout the Lifecycle of a Construction Project.
  10. Information Retrieval and Natural Language Processing
    A Graph Theory Approach
    Author: Sonawane, Sheetal S.; Ghotkar, Archana S.; Mahalle, Parikshit N.
    Published: 2023
    Publisher:  Springer Verlag, Singapore, Singapore

    This book gives a comprehensive view of graph theory in informational retrieval (IR) and natural language processing(NLP). This book provides number of graph techniques for IR and NLP applications with examples. It also provides understanding of... more

     

    This book gives a comprehensive view of graph theory in informational retrieval (IR) and natural language processing(NLP). This book provides number of graph techniques for IR and NLP applications with examples. It also provides understanding of graph theory basics, graph algorithms and networks using graph. The book is divided into three parts and contains nine chapters. The first part gives graph theory basics and graph networks, and the second part provides basics of IR with graph-based information retrieval. The third part covers IR and NLP recent and emerging applications with case studies using graph theory.This book is unique in its way as it provides a strong foundation to a beginner in applying mathematical structure graph for IR and NLP applications. All technical details that include tools and technologies used for graph algorithms and implementation in Information Retrieval and Natural Language Processing with its future scope are explained in a clear and organized format

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9789811699979
    Edition: 1st ed. 2022
    Series: Studies in Big Data
    Subjects: Algorithms & data structures; Artificial intelligence; COMPUTERS / Artificial Intelligence; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Information Theory; COMPUTERS / Security / General; Combinatorics & graph theory; Computer security; Computersicherheit; Datenbanken; Kombinatorik und Graphentheorie; MATHEMATICS / Graphic Methods; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Netzwerksicherheit
    Scope: 176 Seiten
    Notes:

    Part A.- Chapter 1. Graph theory basics.- Chapter 2. Graph Algorithms.- Chapter 3. Networks using graph.- Part B.- Chapter 4. Information retrieval.- Chapter 5. Text document preprocessing using graph theory.- Chapter 6. Text analytics using graph theory.- Chapter 7. Knowledge graph.- Part C.- Chapter 8. Emerging Applications and development.- Chapter 9. Conclusion and future scope.
  11. Ontology of Communication
    Agent-Based Data-Driven or Sign-Based Substitution-Driven?
    Author: Hausser, Roland
    Published: 2023
    Publisher:  Springer International Publishing AG, Cham

    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... more

     

    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

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9783031227387
    Edition: 1st ed. 2023
    Subjects: Artificial intelligence; COMPUTERS / Artificial Intelligence; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Expert Systems; Computational linguistics; Computerlinguistik und Korpuslinguistik; Expert systems / knowledge-based systems; Künstliche Intelligenz; LANGUAGE ARTS & DISCIPLINES / Linguistics; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Wissensbasierte Systeme, Expertensysteme
    Scope: 258 Seiten
    Notes:

    1. Introduction 1.1 Ontology 1.2 Computational Cognition1.3 Agent-Based Data-Driven vs. Sign-Based Substitution-Driven 1.4 Reconciling the Hierarchical and the Linear 1.5 Speak Mode Converts Hierarchy into Linear Surface 1.6 Hear Mode Re-Converts Linear Input into Hierarchical Output 1.7 Derivation Order 1.8 Type Transparency 1.9 Four Kinds of Type-Token Relations 1.10 Conclusion 2. Laboratory Set-up of Database Semantics 2.1 Early Times 2.2 Study of the Language Signs 2.3 Using Successful Communication for the Laboratory Set-Up 2.4 From Operational Implementation to Declarative Specification 2.5 Formal Fragments of Natural Language 2.6 Incremental Upscaling Cycles 2.7 Conclusion 3. Outline of DBS 3.1 Building Content in the Agent's Hear Mode3.2 Storage and Retrieval of Content in the On-Board Memory 3.3 Speak Mode Riding Piggyback on the Think Mode 3.4 Component Structure of Cognition 3.5 Sensory Media, Processing Media, and Their Modalities 3.6 Reference as a Purely Cognitive Process 3.7 Grounding 3.8 Conclusion 4. Software Mechanisms of the Content Kinds 4.1 Apparent Terminological Redundancy4.2 Restriction of Figurative Use to Concepts 4.3 Additional Constraint on Figurative Use 4.4 Declarative Specification Of Concepts for Recognition 4.5 Declarative Specification of Concepts for Action4.6 Indirect Grounding of Indexicals and Names 4.7 Conclusion 5. Comparison of Coordination and Gapping 5.1 Coordination of Elementary Adnominals 5.2 Coordination of Phrasal Adnominal Modifiers 5.3 Coordination of Phrasal Adverbial Modifiers 5.4 Coordination of Elementary Nouns as Subject 5.5 Intra- and Extrapropositional Verb Coordination 5.6 Extrasentential Coordination 5.7 Quasi Coordination in Subject Gapping 5.8 Quasi Coordination in Predicate Gapping 5.9 Quasi Coordination in Object Gapping 5.10 Conclusion 6. Are Iterating Slot-Filler Structures Universal? 6.1 Language and Thought 6.2 Slot-Filler Iteration 6.3 Marked Slot-Filler Repetition in Infinitives6.4 Marked Slot-Filler Repetition in Object Clauses 6.5 Marked Slot-Filler Repetition in Adnominal Clauses 6.6 Unmarked Slot-Filler Iteration in Gapping Constructions 6.7 Long-Distance Dependency 6.8 Conclusion 7. Computational Pragmatics7.1 Four Kinds of Content in DBS 7.2 Coactivation Resulting in Resonating Content 7.3 Literal Pragmatics of Adjusting Perspective7.4 Nonliteral Pragmatics of Syntactic Mood Adaptation 7.5 Nonliteral Pragmatics of Figurative Use7.6 Conclusion8. Discontinuous Structures in DBS and PSG8.1 The Time-Linear Structure of Natural Language 8.2 Constituent Structure Paradox of PSG8.3 Suspension in Database Semantics 8.4 Discontinuity with and without Suspension in DBS 8.5 Conclusion 9. Classical Syllogisms as Computational Inferences 9.1 Logical vs. Common Sense Reasoning9.2 Categorical Syllogisms 9.3 Modus Ponendo Ponens 9.4 Modus Tollendo Tollens 9.5 Modi BARBARA and CELARENT9.6 Modi DARII and FERIO 9.7 Modi BAROCO and BOCARDO 9.8 Combining S- and C-Inferencing 9.9 Analogy 9.10 Conclusion 10. Grounding of Concepts in Science 10.1 The Place of Concepts in a Content 10.2 Definition of Concepts at the Elementary, Phrasal, or Clausal Level? 10.3 Extending a Concept to its Class 10.4 Language Communication10.5 Combining Concepts into Content 10.6 Language Surfaces and Meaning_1 Concepts in Communication 10.7 Extero- and Interoception 10.8 Emotion 10.9 Conclusion 11. Function Words 11.1 Introduction11.2 Interpreting Determiner Noun Combination in Hear Mode 11.3 Producing Dete
  12. Neuroscience and psycholinguistics
    Creating modern natural language processing systems
    Contributor: Madsen, Lana (HerausgeberIn)
    Published: 2023
    Publisher:  COUNSELLING & TUTORING HOUSE, [Erscheinungsort nicht ermittelbar]

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    Source: Union catalogues
    Contributor: Madsen, Lana (HerausgeberIn)
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9781915380227
    Series: Artificial intelligence in psychology
    Subjects: Artificial intelligence; COMPUTERS / Artificial Intelligence; COMPUTERS / Natural Language Processing; Künstliche Intelligenz; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung
  13. Explainable AI for Practitioners
    Designing and Implementing Explainable ML Solutions
    Author: Munn, Michael; Pitman, David
    Published: 2022
    Publisher:  O'Reilly Media, Sebastopol

    Most intermediate-level machine learning books usually focus on how to optimize models by increasing accuracy or decreasing prediction error. But this approach often overlooks the importance and the need to be able to explain why and how your ML... more

     

    Most intermediate-level machine learning books usually focus on how to optimize models by increasing accuracy or decreasing prediction error. But this approach often overlooks the importance and the need to be able to explain why and how your ML model makes the predictions that it does. This practical guide brings together the best-in-class techniques for model interpretability and explains model predictions in a hands-on approach. Experienced ML practitioners will be able to more easily apply these tools in their daily workflow

     
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  14. Vector Semantics
    Author: Kornai, Andras
    Published: 2023
    Publisher:  Springer Verlag, Singapore, Singapore

    This open access book introduces Vector semantics, which links the formal theory of word vectors to the cognitive theory of linguistics.The computational linguists and deep learning researchers who developed word vectors have relied primarily on the... more

     

    This open access book introduces Vector semantics, which links the formal theory of word vectors to the cognitive theory of linguistics.The computational linguists and deep learning researchers who developed word vectors have relied primarily on the ever-increasing availability of large corpora and of computers with highly parallel GPU and TPU compute engines, and their focus is with endowing computers with natural language capabilities for practical applications such as machine translation or question answering. Cognitive linguists investigate natural language from the perspective of human cognition, the relation between language and thought, and questions about conceptual universals, relying primarily on in-depth investigation of language in use.In spite of the fact that these two schools both have 'linguistics' in their name, so far there has been very limited communication between them, as their historical origins, data collection methods, and conceptual apparatuses are quite different. Vector semantics bridges the gap by presenting a formal theory, cast in terms of linear polytopes, that generalizes both word vectors and conceptual structures, by treating each dictionary definition as an equation, and the entire lexicon as a set of equations mutually constraining all meanings

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9789811956065
    Edition: 1st ed. 2023
    Series: Cognitive Technologies
    Subjects: Artificial intelligence; COMPUTERS / Artificial Intelligence; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Expert Systems; Computational linguistics; Computer-Anwendungen in Kunst und Geisteswissenschaften; Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften; Computerlinguistik und Korpuslinguistik; Expert systems / knowledge-based systems; Künstliche Intelligenz; LANGUAGE ARTS & DISCIPLINES / Library & Information Science; LANGUAGE ARTS & DISCIPLINES / Linguistics; Literature: history & criticism; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Wissensbasierte Systeme, Expertensysteme
    Scope: 273 Seiten
    Notes:

    Interessenniveau: 06, Professional and scholarly: For an expert adult audience, including academic research. (06)

    Contents Preface............................................................... vii1 Foundations of non-compositionality................................. 1.1 Background ................................................... 1.2 Lexicographic principles ........................................ 1.3 The syntax of definitions ........................................ 1.4 The geometry of definitions...................................... 1.5 The algebra of definitions ....................................... 2 From morphology to syntax ........................................ 23 2.1 Lexical categories and subcategories .............................. 23 2.2 Bound morphemes ............................................. 25 2.3 Relations ..................................................... 30 2.4 Linking....................................................... 39 2.5 Naive grammar ................................................ 463 Time and space.................................................... 53 3.1 Space ........................................................ 54 3.2 Time ......................................................... 59 3.3 Indexicals, coercion ............................................ 62 3.4 Measure ...................................................... 654 Negation.......................................................... 69 4.1 Negation in the lexicon.......................................... 71 4.2 Quantifiers .................................................... 73 4.3 Negation in compositional constructions ........................... 74 4.4 Double negation ............................................... 77 4.5 Compositional quantifiers ....................................... 78 4.6 Disjunction ................................................... 80 4.7 Scope ambiguities.............................................. 81 4.8 Conclusions ................................................... 82 5 Valuations ........................................................ 83 5.1 Introduction ................................................... 83 5.2 The likeliness scale............................................. 84 5.3 Naive inference (likeliness update) ................................ 86 5.4 Learning...................................................... 89 5.5 Conclusions ................................................... 916 Modality ......................................................... 93 6.1 The deontic world .............................................. 93 6.2 Epistemic and autoepistemic logic ................................ 93 6.3 Defaults ...................................................... 937 Adjectives, gradience, implicature ................................... 95 7.1 Adjectives .................................................... 95 7.2 Gradience..................................................... 96 7.3 Implicature.................................................... 96 7.4 The elementary pieces .......................................... 97 7.5 The mechanism ................................................ 100 7.6 Memory ...................................................... 103 7.7 Conclusions ................................................... 1048 Trainability and real-world knowledge............................... 1078.1 Proper names.................................................. 107 8.2 Trainability ................................................... 1099 Dynamic embeddings ....................................
  15. Vector Semantics
    Author: Kornai, Andras
    Published: 2023
    Publisher:  Springer Verlag, Singapore, Singapore

    This open access book introduces Vector semantics, which links the formal theory of word vectors to the cognitive theory of linguistics.The computational linguists and deep learning researchers who developed word vectors have relied primarily on the... more

     

    This open access book introduces Vector semantics, which links the formal theory of word vectors to the cognitive theory of linguistics.The computational linguists and deep learning researchers who developed word vectors have relied primarily on the ever-increasing availability of large corpora and of computers with highly parallel GPU and TPU compute engines, and their focus is with endowing computers with natural language capabilities for practical applications such as machine translation or question answering. Cognitive linguists investigate natural language from the perspective of human cognition, the relation between language and thought, and questions about conceptual universals, relying primarily on in-depth investigation of language in use.In spite of the fact that these two schools both have 'linguistics' in their name, so far there has been very limited communication between them, as their historical origins, data collection methods, and conceptual apparatuses are quite different. Vector semantics bridges the gap by presenting a formal theory, cast in terms of linear polytopes, that generalizes both word vectors and conceptual structures, by treating each dictionary definition as an equation, and the entire lexicon as a set of equations mutually constraining all meanings

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9789811956096
    Edition: 1st ed. 2023
    Series: Cognitive Technologies
    Subjects: Artificial intelligence; COMPUTERS / Artificial Intelligence; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Expert Systems; Computational linguistics; Computer-Anwendungen in Kunst und Geisteswissenschaften; Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften; Computerlinguistik und Korpuslinguistik; Expert systems / knowledge-based systems; Künstliche Intelligenz; LANGUAGE ARTS & DISCIPLINES / Library & Information Science; LANGUAGE ARTS & DISCIPLINES / Linguistics; Literature: history & criticism; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Wissensbasierte Systeme, Expertensysteme
    Scope: 273 Seiten
    Notes:

    Interessenniveau: 06, Professional and scholarly: For an expert adult audience, including academic research. (06)

    Contents Preface............................................................... vii1 Foundations of non-compositionality................................. 1.1 Background ................................................... 1.2 Lexicographic principles ........................................ 1.3 The syntax of definitions ........................................ 1.4 The geometry of definitions...................................... 1.5 The algebra of definitions ....................................... 2 From morphology to syntax ........................................ 23 2.1 Lexical categories and subcategories .............................. 23 2.2 Bound morphemes ............................................. 25 2.3 Relations ..................................................... 30 2.4 Linking....................................................... 39 2.5 Naive grammar ................................................ 463 Time and space.................................................... 53 3.1 Space ........................................................ 54 3.2 Time ......................................................... 59 3.3 Indexicals, coercion ............................................ 62 3.4 Measure ...................................................... 654 Negation.......................................................... 69 4.1 Negation in the lexicon.......................................... 71 4.2 Quantifiers .................................................... 73 4.3 Negation in compositional constructions ........................... 74 4.4 Double negation ............................................... 77 4.5 Compositional quantifiers ....................................... 78 4.6 Disjunction ................................................... 80 4.7 Scope ambiguities.............................................. 81 4.8 Conclusions ................................................... 82 5 Valuations ........................................................ 83 5.1 Introduction ................................................... 83 5.2 The likeliness scale............................................. 84 5.3 Naive inference (likeliness update) ................................ 86 5.4 Learning...................................................... 89 5.5 Conclusions ................................................... 916 Modality ......................................................... 93 6.1 The deontic world .............................................. 93 6.2 Epistemic and autoepistemic logic ................................ 93 6.3 Defaults ...................................................... 937 Adjectives, gradience, implicature ................................... 95 7.1 Adjectives .................................................... 95 7.2 Gradience..................................................... 96 7.3 Implicature.................................................... 96 7.4 The elementary pieces .......................................... 97 7.5 The mechanism ................................................ 100 7.6 Memory ...................................................... 103 7.7 Conclusions ................................................... 1048 Trainability and real-world knowledge............................... 1078.1 Proper names.................................................. 107 8.2 Trainability ................................................... 1099 Dynamic embeddings ....................................
  16. From Born-Physical to Born-Virtual: Augmenting Intelligence in Digital Libraries
    24th International Conference on Asian Digital Libraries, ICADL 2022, Hanoi, Vietnam, November 30 - December 2, 2022, Proceedings
    Contributor: Katsurai, Marie (HerausgeberIn); Nguyen, Hoa N. (HerausgeberIn); Tseng, Yuen-Hsien (HerausgeberIn)
    Published: 2023
    Publisher:  Springer International Publishing AG, Cham

    This book constitutes the refereed proceedings of the 24th International Conference on Asia-Pacific Digital Libraries, ICADL 2022, which was held in November/December 2022.The 14 full, 18 short, and 12 poster papers presented in this volume were... more

     

    This book constitutes the refereed proceedings of the 24th International Conference on Asia-Pacific Digital Libraries, ICADL 2022, which was held in November/December 2022.The 14 full, 18 short, and 12 poster papers presented in this volume were carefully reviewed and selected from 78 submissions. Based on significant contributions, the full and short papers have been classified into the following topics: intelligent document analysis; neural-based knowledge extraction; knowledge discovery for enhancing collaboration; smart search and annotation; cultural data collection and analysis; scholarly data processing; data archive and management; research activities and digital library; and trends in digital library

     
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    Source: Union catalogues
    Contributor: Katsurai, Marie (HerausgeberIn); Nguyen, Hoa N. (HerausgeberIn); Tseng, Yuen-Hsien (HerausgeberIn)
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9783031217555
    Edition: 1st ed. 2022
    Series: Lecture Notes in Computer Science
    Subjects: Angewandte Informatik; Artificial intelligence; COMPUTERS / Artificial Intelligence; COMPUTERS / Data Processing / General; COMPUTERS / Data Processing / Speech & Audio Processing; COMPUTERS / Data Processing / Storage & Retrieval; COMPUTERS / Social Aspects / Human-Computer Interaction; COMPUTERS / User Interfaces; Data Warehousing; Information retrieval; Information technology: general issues; Informationsrückgewinnung, Information Retrieval; Informationstechnik (IT), allgemeine Themen; Künstliche Intelligenz; Mensch-Computer-Interaktion; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; User interface design & usability
    Scope: 524 Seiten
    Notes:

    Interessenniveau: 06, Professional and scholarly: For an expert adult audience, including academic research. (06)

    Intelligent document analysis.- Neural-based knowledge extraction.- Knowledge discovery for enhancing collaboration.- Smart search and annotation.- Cultural data collection and analysis.- Scholarly data processing.- Data archive and management.- Research activities and digital library.- Trends in digital library.
  17. Wineinformatics
    A New Data Science Application
    Author: Chen, Bernard
    Published: 2022
    Publisher:  Springer Verlag, Singapore, Singapore

    Wineinformatics is a new data science application with a focus on understanding wine through artificial intelligence. Thousands of new wine reviews are produced monthly, which benefits the understanding of wine through wine experts for winemakers and... more

     

    Wineinformatics is a new data science application with a focus on understanding wine through artificial intelligence. Thousands of new wine reviews are produced monthly, which benefits the understanding of wine through wine experts for winemakers and consumers. This book systematically investigates how to process human language format reviews and mine useful knowledge from a large volume of processed data.This book presents a human language processing tool named Computational Wine Wheel to process professional wine reviews and three novel Wineinformatics studies to analyze wine quality, price and reviewers. Through the lens of data science, the author demonstrates how the wine receives 90+ scores out of 100 points from Wine Spectator, how to predict a wine's specific grade and price through wine reviews and how to rank a group of wine reviewers. The book also shows the advanced application of the Computational Wine Wheel to capture more information hidden in wine reviews and the possibility of extending the wheel to coffee, tea beer, sake and liquors.This book targets computer scientists, data scientists and wine industrial researchers, who are interested in Wineinformatics. Senior data science undergraduate and graduate students may also benefit from this book

     
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  18. Deep Learning Research Applications for Natural Language Processing
    Contributor: Ashok Kumar, L. (HerausgeberIn); Geetha, S. (HerausgeberIn); Karthika Renuka, Dhanaraj (HerausgeberIn)
    Published: 2022
    Publisher:  IGI Global, [Erscheinungsort nicht ermittelbar]

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    Source: Union catalogues
    Contributor: Ashok Kumar, L. (HerausgeberIn); Geetha, S. (HerausgeberIn); Karthika Renuka, Dhanaraj (HerausgeberIn)
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9781668460016
    Subjects: COM094000; COMPUTERS / Artificial Intelligence; COMPUTERS / Natural Language Processing; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung
    Scope: 320 Seiten
    Notes:

    Interessenniveau: 05, College/higher education: For universities and colleges of further and higher education. (05)

    Interessenniveau: 06, Professional and scholarly: For an expert adult audience, including academic research. (06)
  19. AI in the Financial Markets
    New Algorithms and Solutions
    Contributor: Cecconi, Federico (HerausgeberIn)
    Published: 2023
    Publisher:  Springer International Publishing AG, Cham

    This book is divided into two parts, the first of which describes AI as we know it today, in particular the Fintech-related applications. In turn, the second part explores AI models in financial markets: both regarding applications that are already... more

     

    This book is divided into two parts, the first of which describes AI as we know it today, in particular the Fintech-related applications. In turn, the second part explores AI models in financial markets: both regarding applications that are already available (e.g. the blockchain supply chain, learning through big data, understanding natural language, or the valuation of complex bonds) and more futuristic solutions (e.g. models based on artificial agents that interact by buying and selling stocks within simulated worlds). The effects of the COVID-19 pandemic are starting to show their financial effects: more companies in a liquidity crisis; more unstable debt positions; and more loans from international institutions for states and large companies. At the same time, we are witnessing a growth of AI technologies in all fields, from the production of goods and services, to the management of socio-economic infrastructures: in medicine, communications, education, and security. The question then becomes: could we imagine integrating AI technologies into the financial markets, in order to improve their performance? And not just limited to using AI to improve performance in high-frequency trading or in the study of trends. Could we imagine AI technologies that make financial markets safer, more stable, and more comprehensible? The book explores these questions, pursuing an approach closely linked to real-world applications. The book is intended for three main categories of readers: (1) management-level employees of companies operating in the financial markets, banks, insurance operators, portfolio managers, brokers, risk assessors, investment managers, and debt managers; (2) policymakers and regulators for financial markets, from government technicians to politicians; and (3) readers curious about technology, both for professional and private purposes, as well as those involved in innovation and research in the private and public spheres

     
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  20. Bots in Suits
    Using Generative AI to Revolutionize Your Business
    Author: Gausling, Nick
    Published: 2023
    Publisher:  Romy Group LLC, [Erscheinungsort nicht ermittelbar]

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  21. Introduction to Transfer Learning
    Algorithms and Practice
    Author: Wang, Jindong; Chen, Yiqiang
    Published: 2023
    Publisher:  Springer Verlag, Singapore, Singapore

    Transfer learning is one of the most important technologies in the era of artificial intelligence and deep learning. It seeks to leverage existing knowledge by transferring it to another, new domain. Over the years, a number of relevant topics have... more

     

    Transfer learning is one of the most important technologies in the era of artificial intelligence and deep learning. It seeks to leverage existing knowledge by transferring it to another, new domain. Over the years, a number of relevant topics have attracted the interest of the research and application community: transfer learning, pre-training and fine-tuning, domain adaptation, domain generalization, and meta-learning. This book offers a comprehensive tutorial on an overview of transfer learning, introducing new researchers in this area to both classic and more recent algorithms. Most importantly, it takes a "student's" perspective to introduce all the concepts, theories, algorithms, and applications, allowing readers to quickly and easily enter this area. Accompanying the book, detailed code implementations are provided to better illustrate the core ideas of several important algorithms, presenting good examples for practice

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9789811975837
    Edition: 1st ed. 2023
    Series: Machine Learning: Foundations, Methodologies, and Applications
    Subjects: COMPUTERS / Artificial Intelligence; COMPUTERS / Computer Graphics / General; COMPUTERS / Computer Science; COMPUTERS / Data Processing / Speech & Audio Processing; Computer science; Image processing; Machine learning; Maschinelles Lernen; Maschinelles Sehen, Bildverstehen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Theoretische Informatik
    Scope: 329 Seiten
    Notes:

    Part I. Foundations of Transfer Learning.- Chapter 1. Introduction.- Chapter 2. From Machine Learning to Transfer Learning.- Chapter 3. Overview of Transfer Learning Algorithms.- Chapter 4. Instance Weighting Methods.- Chapter 5. Statistical Feature Transformation Methods.- Chapter 6. Geometrical Feature Transformation Methods.- Chapter 7. Theory, Evaluation, and Model Selection.- Part II. Modern Transfer Leaning.- Chapter 8. Pre-training and Fine-tuning.- Chapter 9. Deep Transfer Learning.- Chapter 10. Adversarial Transfer Learning.- Chapter 11. Generalization in Transfer Learning.- Chapter 12. Safe & Robust Transfer Learning.- Chapter 13. Transfer Learning in Complex Environments.- Chapter 14. Low-resource Learning.- Part III. Applications.- Chapter 15. Transfer Learning for Computer Vision.- Chapter 16. Transfer Learning for Natural language Processing.- Chapter 17. Transfer Learning for Speech Recognition.- Chapter 18. Transfer Learning for Activity Recognition.- Chapter 19. Federated Learning for Personalized Healthcare.- Chapter 20. Concluding Remarks.
  22. Genetic programming
    26th European Conference, EuroGP 2023, held as part of EvoStar 2023, Brno, Czech Republic, April 12-14, 2023 : proceedings
    Contributor: Giacobini, Mario (HerausgeberIn); Pappa, Gisele (HerausgeberIn); Vasicek, Zdenek (HerausgeberIn)
    Published: [2023]
    Publisher:  Springer, Cham

    This book constitutes the refereed proceedings of the 26th European Conference on Genetic Programming, EuroGP 2023, held as part of EvoStar 2023, in Brno, Czech Republic, during April 12-14, 2023, and co-located with the EvoStar events, EvoCOP,... more

    Location:
    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
    Signature:
    RN 2835(13986)
    Inter-library loan:
    No loan of volumes, only paper copies will be sent

    Location:
    Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Bibliothek
    Inter-library loan:
    No inter-library loan

     

    This book constitutes the refereed proceedings of the 26th European Conference on Genetic Programming, EuroGP 2023, held as part of EvoStar 2023, in Brno, Czech Republic, during April 12-14, 2023, and co-located with the EvoStar events, EvoCOP, EvoMUSART, and EvoApplications. The 14 revised full papers and 8 short papers presented in this book were carefully reviewed and selected from 38 submissions. The wide range of topics in this volume reflects the current state of research in the field. The collection of papers cover topics including developing new variants of GP algorithms for both optimization and machine learning problems as well as exploring GP to address complex real-world problems

     
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  23. Generative Artificial Intelligence
    Exploring New Business Opportunities using ChatGPT, with prompts to optimize chatbot, Write Better, code fast, to Monetize & improve professional and personal life
    Author: Genius, Ai Tech
    Published: 2023
    Publisher:  Anma Lab Limited, [Erscheinungsort nicht ermittelbar]

  24. Artificial Intelligence-Based Performance Evaluation of Routing in Manet
    Author: Rangaraj, J
    Published: 2023
    Publisher:  Independent Author, [Erscheinungsort nicht ermittelbar]

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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9781886982703
    Subjects: COMPUTERS / Natural Language Processing; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung
    Scope: 156 Seiten
  25. Concept Map Generation from Domain Text Using Machine Learning and Deep Learning Techniques
    Author: Adan U, Kodaika Virin
    Published: 2023
    Publisher:  Independent Author, [Erscheinungsort nicht ermittelbar]

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