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Displaying results 1 to 12 of 12.

  1. 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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    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
  2. 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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    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
  3. Chatbot research and design
    6th International Workshop, CONVERSATIONS 2022, Amsterdam, the Netherlands, november 22–23, 2022, revised selected papers
    Contributor: Følstad, Asbjørn (HerausgeberIn); Araujo, Theo (HerausgeberIn); Papadopoulos, Symeon (HerausgeberIn); Law, Effie L.-C. (HerausgeberIn); Luger, Ewa (HerausgeberIn); Goodwin, Morten (HerausgeberIn); Brandtzaeg, Petter Bae (HerausgeberIn)
    Published: 2023; [2023]; © 2023
    Publisher:  Springer International Publishing, Cham ; Springer

    This book constitutes the proceedings of the 6th International Workshop on Chatbot Research and Design, CONVERSATIONS 2022, which was held during November 2022. The 12 papers included in this volume were carefully reviewed and selected from a total... more

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    This book constitutes the proceedings of the 6th International Workshop on Chatbot Research and Design, CONVERSATIONS 2022, which was held during November 2022. The 12 papers included in this volume were carefully reviewed and selected from a total of 27 submissions. They were organized in topical sections named: chatbot users and user experience; chatbot design and applications.

     
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  4. Symbols
    an evolutionary history from the Stone Age to the future
    Author: Sproat, Richard William
    Published: 2023
    Publisher:  Springer, Cham, Switzerland

    For millennia humans have used visible marks to communicate information. Modern examples of conventional graphical symbols include written language, and non-linguistic symbol systems such as mathematical symbology or traffic signs. The latter kinds... more

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    For millennia humans have used visible marks to communicate information. Modern examples of conventional graphical symbols include written language, and non-linguistic symbol systems such as mathematical symbology or traffic signs. The latter kinds of symbols convey information without reference to language. This book presents the first systematic study of graphical symbol systems, including a history of graphical symbols from the Paleolithic onwards, a taxonomy of non-linguistic systems -- systems that are not tied to spoken language -- and a survey of more than 25 such systems. One important feature of many non-linguistic systems is that, as in written language, symbols may be combined into complex "messages" if the information the system represents is itself complex. To illustrate, the author presents an in-depth comparison of two systems that had very similar functions, but very different structure: European heraldry and Japanese kamon. Writing first appeared in Mesopotamia about 5,000 years ago and is believed to have evolved from a previous non-linguistic accounting system. The exact mechanism is unknown, but crucial was the discovery that symbols can represent the sounds of words, not just the meanings. The book presents a novel neurologically-inspired hypothesis that writing evolved in an institutional context in which symbols were "dictated", thus driving an association between symbol and sound, and provides a computational simulation to support this hypothesis. The author further discusses some common fallacies about writing and non-linguistic systems, and how these relate to widely cited claims about statistical "evidence" for one or another system being writing. The book ends with some thoughts about the future of graphical symbol systems. The intended audience includes students, researchers, lecturers, professionals and scientists from fields like Natural Language Processing, Machine Learning, Archaeology and Semiotics, as well as general readers interested in language and/or writing systems and symbol systems. Richard Sproat is a Research Scientist at Google working on Deep Learning. He has a long-standing interest in writing systems and other graphical symbol systems

     
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    Source: Staatsbibliothek zu Berlin
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9783031268090; 3031268091
    Subjects: Signs and symbols; COM094000; COMPUTERS / Computer Science; COMPUTERS / Computer Simulation; COMPUTERS / Natural Language Processing; Computational linguistics; Computer modelling & simulation; Computer-Anwendungen in Kunst und Geisteswissenschaften; Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften; Computerlinguistik und Korpuslinguistik; Computermodellierung und -simulation; Information technology: general issues; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Social research & statistics
    Scope: 1 Online-Ressource (xiii, 235 pages), Illustrationen
    Notes:

    Includes bibliographical references and index

    1. Introduction -- 2. Semiotics -- 3. Taxonomy -- 4. Writing Systems -- 5. Symbols in the Brain -- 6. The Evolution of Writing -- 7. Simulations -- 8. Misrepresentations -- 9. The Future.
  5. Building and using comparable corpora for multilingual Natural language processing
    Author: Sharoff, Serge; Rapp, Reinhard; Zweigenbaum, Pierre
    Published: [2023]
    Publisher:  Springer International Publishing AG, Cham

    Intro -- Contents -- About the Authors -- 1 Introduction -- 1.1 Rationale for Working with Comparable Corpora -- 1.1.1 Availability of Truly Parallel Data -- 1.1.2 Translationese in Parallel Data -- 1.2 Levels of Comparability -- 1.3 Methodology for... more

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    Intro -- Contents -- About the Authors -- 1 Introduction -- 1.1 Rationale for Working with Comparable Corpora -- 1.1.1 Availability of Truly Parallel Data -- 1.1.2 Translationese in Parallel Data -- 1.2 Levels of Comparability -- 1.3 Methodology for Dealing with Comparable Resources -- 2 Basic Principles of Cross-Lingual Models -- [DELETE] -- 2.1 Monolingual VSMs -- 2.2 Cross-Lingual VSMs -- 2.3 Contextual Embeddings -- 3 Building Comparable Corpora -- [DELETE] -- 3.1 Measures for Document Similarity Across Languages -- 3.2 Evaluation Methods and Datasets -- 3.3 Natural Annotation: Building Strongly Comparable Corpora -- 3.4 Low-Hanging Fruit: Building Weakly Comparable Corpora -- 3.5 Large Scale Document Alignment -- 3.5.1 Structural Similarity -- 3.5.2 Lexical Similarity -- 3.6 Comparable Corpora of Unrelated Documents -- 4 Extraction of Parallel Sentences -- [DELETE] -- 4.1 Extraction from Parallel Corpora -- 4.2 Assessing Cross-Lingual Sentence Similarity -- 4.3 Datasets and Evaluation -- 4.4 General Principles -- 4.5 Pre-neural Methods -- 4.6 Supervised Neural Methods -- 4.7 Limitations of Supervised Methods in Low-Resource Settings -- 4.8 Unsupervised Neural Methods -- 5 Induction of Bilingual Dictionaries -- 5.1 Setting the Task -- 5.2 Bilingual Lexicon Induction From Parallel Corpora -- 5.3 Matching Contexts -- 5.4 Geometric Properties of Word Embedding Spaces -- 5.5 Alignment of Word Embeddings -- 5.6 Alignment of Contextual Embeddings -- 5.7 Evaluation -- 5.7.1 Evaluation Experiments for BLI -- 5.7.2 Evaluation on Multilingual Termbanks -- 5.8 The BUCC 2020 Shared Task on Bilingual Dictionary Induction -- 5.8.1 Resources -- 5.8.2 Evaluation -- 5.9 The BUCC 2022 Shared Task on Bilingual Terminology Extraction -- 5.9.1 Specifications of the Task -- 5.9.2 Shared Task Results -- 6 Comparable and Parallel Corpora for Machine Translation.

     
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    Source: Union catalogues
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9783031313844
    Series: Synthesis lectures on human language technologies series
    Subjects: Angewandte Informatik; COM094000; COMPUTERS / Computer Science; COMPUTERS / Natural Language Processing; Computational linguistics; Computerlinguistik und Korpuslinguistik; Information technology: general issues; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung
    Scope: 1 Online-Ressource (viii, 133 Seiten)
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    Description based on publisher supplied metadata and other sources
  6. Symbols
    an evolutionary history from the Stone Age to the future
    Author: Sproat, Richard William
    Published: [2023]; © 2023
    Publisher:  Springer, Cham, Switzerland

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  7. Symbols
    an evolutionary history from the Stone Age to the future
    Author: Sproat, Richard William
    Published: 2023
    Publisher:  Springer, Cham, Switzerland

    For millennia humans have used visible marks to communicate information. Modern examples of conventional graphical symbols include written language, and non-linguistic symbol systems such as mathematical symbology or traffic signs. The latter kinds... more

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    For millennia humans have used visible marks to communicate information. Modern examples of conventional graphical symbols include written language, and non-linguistic symbol systems such as mathematical symbology or traffic signs. The latter kinds of symbols convey information without reference to language. This book presents the first systematic study of graphical symbol systems, including a history of graphical symbols from the Paleolithic onwards, a taxonomy of non-linguistic systems -- systems that are not tied to spoken language -- and a survey of more than 25 such systems. One important feature of many non-linguistic systems is that, as in written language, symbols may be combined into complex "messages" if the information the system represents is itself complex. To illustrate, the author presents an in-depth comparison of two systems that had very similar functions, but very different structure: European heraldry and Japanese kamon. Writing first appeared in Mesopotamia about 5,000 years ago and is believed to have evolved from a previous non-linguistic accounting system. The exact mechanism is unknown, but crucial was the discovery that symbols can represent the sounds of words, not just the meanings. The book presents a novel neurologically-inspired hypothesis that writing evolved in an institutional context in which symbols were "dictated", thus driving an association between symbol and sound, and provides a computational simulation to support this hypothesis. The author further discusses some common fallacies about writing and non-linguistic systems, and how these relate to widely cited claims about statistical "evidence" for one or another system being writing. The book ends with some thoughts about the future of graphical symbol systems. The intended audience includes students, researchers, lecturers, professionals and scientists from fields like Natural Language Processing, Machine Learning, Archaeology and Semiotics, as well as general readers interested in language and/or writing systems and symbol systems. Richard Sproat is a Research Scientist at Google working on Deep Learning. He has a long-standing interest in writing systems and other graphical symbol systems

     
    Export to reference management software   RIS file
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    Source: Staatsbibliothek zu Berlin
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9783031268090; 3031268091
    Subjects: Signs and symbols; COM094000; COMPUTERS / Computer Science; COMPUTERS / Computer Simulation; COMPUTERS / Natural Language Processing; Computational linguistics; Computer modelling & simulation; Computer-Anwendungen in Kunst und Geisteswissenschaften; Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften; Computerlinguistik und Korpuslinguistik; Computermodellierung und -simulation; Information technology: general issues; Machine learning; Maschinelles Lernen; Natural language & machine translation; Natürliche Sprachen und maschinelle Übersetzung; Social research & statistics
    Scope: 1 Online-Ressource (xiii, 235 pages), Illustrationen
    Notes:

    Includes bibliographical references and index

    1. Introduction -- 2. Semiotics -- 3. Taxonomy -- 4. Writing Systems -- 5. Symbols in the Brain -- 6. The Evolution of Writing -- 7. Simulations -- 8. Misrepresentations -- 9. The Future.
  8. Netzbasierte Ansätze zur natürlichsprachlichen Informationsverarbeitung
    Author: Unger, Herwig; Kubek, Mario; Sukjit, Panchalee
    Published: 2022.
    Publisher:  Springer Fachmedien Wiesbaden, Wiesbaden ; Imprint: Springer Vieweg

    Wissensverarbeitung im menschlichen Gehirn -- Lernen -- Netzwerke für die Textanalyse -- Digitale Updates und digitales Vergessen -- Exploration von Netzwerkstrukturen -- Konzepte des Text Minings in dezentralen Systemen -- Informationsmanagement im... more

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    Wissensverarbeitung im menschlichen Gehirn -- Lernen -- Netzwerke für die Textanalyse -- Digitale Updates und digitales Vergessen -- Exploration von Netzwerkstrukturen -- Konzepte des Text Minings in dezentralen Systemen -- Informationsmanagement im Web. Für Leser, die bereits die Grundlagen der Wissensverarbeitung und Computernetzwerke beherrschen, gibt das Buch einen Überblick über innovative Verfahren, die die automatisierte Suche, Recherche, Klassifikation und Verwaltung von Texten im Kontext dezentraler Systeme und vor allem im WWW erlauben. Besondere Aufmerksamkeit wird dabei auf eine personalisierte Verarbeitung gerichtet, die auch zeitliche Aspekte, wie z. B. das digitale Vergessen, einbeziehen. An vielen Stellen werden auf interessante und neuartige Art und Weise Analogien aus anderen Wissensgebieten, so z. B. zur Verarbeitung von Informationen und zum Lernen im menschlichen Gehirn sowie der Natur schlechthin genutzt. Der Inhalt Wissensverarbeitung im menschlichen Gehirn Lernen Netzwerke für die Textanalyse Digitale Updates und digitales Vergessen Exploration von Netzwerkstrukturen Konzepte des Text Minings in dezentralen Systemen Informationsmanagement im Web Die Zielgruppen Master-Studierende in folgenden Bereichen und Studiengängen: Informatik, Informationsverarbeitung, Big Data, Data Mining, Webdesign, Bibliothekswissenschaften Ingenieure, Anwender und Programmierer in einschlägigen Tätigkeitsfeldern Das Autoren-Team Prof. Dr. Herwig Unger, Dr. Mario Kubek und Dr. Panchalee Sukjit kommen aus unterschiedlichen Wissensgebieten der Informatik, die seit 2008 die gemeinsame Vision vereint, die meist textbasierten Ressourcen des WWW besser nutzbar zu machen. Von ihnen sind eine Vielzahl von Fachbeiträgen zum Thema auf wissenschaftlichen Tagungen, in Journalen bzw. Fachbüchern erschienen.

     
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  9. Netzbasierte Ansätze zur natürlichsprachlichen Informationsverarbeitung
    Author: Unger, Herwig; Kubek, Mario; Sukjit, Panchalee
    Published: 2022.
    Publisher:  Springer Fachmedien Wiesbaden, Wiesbaden ; Imprint: Springer Vieweg

    Wissensverarbeitung im menschlichen Gehirn -- Lernen -- Netzwerke für die Textanalyse -- Digitale Updates und digitales Vergessen -- Exploration von Netzwerkstrukturen -- Konzepte des Text Minings in dezentralen Systemen -- Informationsmanagement im... more

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    Wissensverarbeitung im menschlichen Gehirn -- Lernen -- Netzwerke für die Textanalyse -- Digitale Updates und digitales Vergessen -- Exploration von Netzwerkstrukturen -- Konzepte des Text Minings in dezentralen Systemen -- Informationsmanagement im Web. Für Leser, die bereits die Grundlagen der Wissensverarbeitung und Computernetzwerke beherrschen, gibt das Buch einen Überblick über innovative Verfahren, die die automatisierte Suche, Recherche, Klassifikation und Verwaltung von Texten im Kontext dezentraler Systeme und vor allem im WWW erlauben. Besondere Aufmerksamkeit wird dabei auf eine personalisierte Verarbeitung gerichtet, die auch zeitliche Aspekte, wie z. B. das digitale Vergessen, einbeziehen. An vielen Stellen werden auf interessante und neuartige Art und Weise Analogien aus anderen Wissensgebieten, so z. B. zur Verarbeitung von Informationen und zum Lernen im menschlichen Gehirn sowie der Natur schlechthin genutzt. Der Inhalt Wissensverarbeitung im menschlichen Gehirn Lernen Netzwerke für die Textanalyse Digitale Updates und digitales Vergessen Exploration von Netzwerkstrukturen Konzepte des Text Minings in dezentralen Systemen Informationsmanagement im Web Die Zielgruppen Master-Studierende in folgenden Bereichen und Studiengängen: Informatik, Informationsverarbeitung, Big Data, Data Mining, Webdesign, Bibliothekswissenschaften Ingenieure, Anwender und Programmierer in einschlägigen Tätigkeitsfeldern Das Autoren-Team Prof. Dr. Herwig Unger, Dr. Mario Kubek und Dr. Panchalee Sukjit kommen aus unterschiedlichen Wissensgebieten der Informatik, die seit 2008 die gemeinsame Vision vereint, die meist textbasierten Ressourcen des WWW besser nutzbar zu machen. Von ihnen sind eine Vielzahl von Fachbeiträgen zum Thema auf wissenschaftlichen Tagungen, in Journalen bzw. Fachbüchern erschienen.

     
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  10. Computerlinguistik und Sprachtechnologie
    Eine Einführung
    Contributor: Carstensen, Kai-Uwe (HerausgeberIn); Ebert, Christian (HerausgeberIn); Ebert, Cornelia (HerausgeberIn); Jekat, Susanne (HerausgeberIn); Langer, Hagen (HerausgeberIn); Klabunde, Ralf (HerausgeberIn)
    Published: 2009; 2010
    Publisher:  Spektrum Akademischer Verlag, Heidelberg

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    Content information
  11. Computational History and Data-Driven Humanities
    Second IFIP WG 12.7 International Workshop, CHDDH 2016, Dublin, Ireland, May 25, 2016, Revised Selected Papers
    Contributor: Bozic, Bojan (HerausgeberIn); Mendel-Gleason, Gavin (HerausgeberIn); Debruyne, Christophe (HerausgeberIn); O'Sullivan, Declan (HerausgeberIn)
    Published: 2016
    Publisher:  Springer International Publishing, Cham

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  12. Präsentieren in Schule, Studium und Beruf
    Author: Böhringer, Joachim; Bühler, Peter; Schlaich, Patrick
    Published: 2007
    Publisher:  Springer Berlin Heidelberg, Berlin, Heidelberg

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