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  1. Computer-assisted language learning with grammars. A case study on Latin learning
    Autor*in: Lange, Herbert
    Erschienen: 2022
    Verlag:  Mannheim : Leibniz-Institut für Deutsche Sprache (IDS)

    Learning new languages has a high relevance in today’s society with a globalized economy and the freedom to move abroad for work, study or other reasons. In this context new methods to teach and learn languages with the help of modern technology are... mehr

     

    Learning new languages has a high relevance in today’s society with a globalized economy and the freedom to move abroad for work, study or other reasons. In this context new methods to teach and learn languages with the help of modern technology are becoming more relevant besides traditional language classes. This work presents a new approach to combine a traditional language class with a modern computer-based approach for teaching. As a concrete example a web application to help teach and learn Latin was developed.

     
    Export in Literaturverwaltung
    Quelle: BASE Fachausschnitt Germanistik
    Sprache: Englisch
    Medientyp: Unbestimmt
    Format: Online
    DDC Klassifikation: Sprache (400)
    Schlagworte: Computerunterstütztes Verfahren; Fremdsprachenlernen; Computerlinguistik; Natürliche Sprache; Latein; Fremdsprachenunterricht
    Lizenz:

    rightsstatements.org/page/InC/1.0/ ; info:eu-repo/semantics/openAccess
  2. Learning language (with) grammars: From teaching Latin to learning domain-specific grammars
    Autor*in: Lange, Herbert
    Erschienen: 2022
    Verlag:  Gothenburg : University of Gothenburg ; Mannheim : Leibniz-Institut für Deutsche Sprache (IDS)

    This thesis describes work in three areas: grammar engineering, computer-assisted language learning and grammar learning. These three parts are connected by the concept of a grammar-based language learning application. Two types of grammars are of... mehr

     

    This thesis describes work in three areas: grammar engineering, computer-assisted language learning and grammar learning. These three parts are connected by the concept of a grammar-based language learning application. Two types of grammars are of concern. The first we call resource grammars, extensive descriptions a natural languages. Part I focuses on this kind of grammars. The other are domain-specific or application-specific grammars. These grammars only describe a fragment of natural language that is determined by the domain of a certain application. Domain-specific grammars are relevant for Part II and Part III. Another important distinction is between humans learning a new natural language using computational grammars (Part II) and computers learning grammars from example sentences (Part III). Part I of this thesis focuses on grammar engineering and grammar testing. It describes the development and evaluation of a computational resource grammar for Latin. Latin is known for its rich morphology and free word order, both have to be handled in a computationally efficient way. A special focus is on methods how computational grammars can be evaluated using corpus data. Such an evaluation is presented for the Latin resource grammar. Part II, the central part, describes a computer-assisted language learning application based on domain-specific grammars. The language learning application demonstrates how computational grammars can be used to guide the user input and how language learning exercises can be modeled as grammars. This allows us to put computational grammars in the center of the design of language learning exercises used to help humans learn new languages. Part III, the final part, is dedicated to a method to learn domain- or application-specific grammars based on a wide-coverage grammar and small sets of example sentences. Here a computer is learning a grammar for a fragment of a natural language from example sentences, potentially without any additional human intervention. These learned grammars can ...

     
    Export in Literaturverwaltung   RIS-Format
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    Quelle: BASE Fachausschnitt Germanistik
    Sprache: Englisch
    Medientyp: Dissertation
    Format: Online
    DDC Klassifikation: Sprache (400)
    Schlagworte: Fremdsprachenlernen; Grammatik; Latein; Natürliche Sprache; Morphologie; Korpus; Syntax; Constraint-Erfüllung; Computerunterstütztes Lernen
    Lizenz:

    rightsstatements.org/page/InC/1.0/ ; info:eu-repo/semantics/openAccess
  3. Demonstrating the MUSTE language learning environment
    Autor*in: Lange, Herbert ; Ljunglöf, Peter
    Erschienen: 2022
    Verlag:  Linköping : LiU Electronic Press ; Mannheim : Leibniz-Institut für Deutsche Sprache (IDS)

    We present a language learning application that relies on grammars to model the learning outcome. Based on this concept we can provide a powerful framework for language learning exercises with an intuitive user interface and a high reliability.... mehr

     

    We present a language learning application that relies on grammars to model the learning outcome. Based on this concept we can provide a powerful framework for language learning exercises with an intuitive user interface and a high reliability. Currently the application aims to augment existing language classes and support students by improving the learner attitude and the general learning outcome. Extensions beyond that scope are promising and likely to be added in the future.

     
    Export in Literaturverwaltung
    Quelle: BASE Fachausschnitt Germanistik
    Sprache: Englisch
    Medientyp: Konferenzveröffentlichung
    Format: Online
    DDC Klassifikation: Sprache (400)
    Schlagworte: Fremdsprachenlernen; Anwendung; Grammatik; Benutzeroberfläche; Übersetzung; Computerlinguistik
    Lizenz:

    creativecommons.org/licenses/by/4.0/ ; info:eu-repo/semantics/openAccess
  4. Putting control into language learning
    Autor*in: Lange, Herbert ; Ljunglöf, Peter
    Erschienen: 2022
    Verlag:  Amsterdam : IOS Press ; Mannheim : Leibniz-Institut für Deutsche Sprache (IDS)

    Controlled Natural Languages (CNLs) have many applications including document authoring, automatic reasoning on texts and reliable machine translation, but their application is not limited to these areas. We explore a new application area of CNLs,... mehr

     

    Controlled Natural Languages (CNLs) have many applications including document authoring, automatic reasoning on texts and reliable machine translation, but their application is not limited to these areas. We explore a new application area of CNLs, the use of CNLs in computer-assisted language learning. In this paper we present a a web application for language learning using CNLs as well as a detailed description of the properties of the family of CNLs it uses.

     
    Export in Literaturverwaltung
    Quelle: BASE Fachausschnitt Germanistik
    Sprache: Englisch
    Medientyp: Konferenzveröffentlichung
    Format: Online
    DDC Klassifikation: Sprache (400)
    Schlagworte: Fremdsprachenlernen; Anwendungsbereich; Computerunterstütztes Lernen; Lernsoftware; Computerlinguistik
    Lizenz:

    creativecommons.org/licenses/by-nc/4.0/ ; info:eu-repo/semantics/openAccess
  5. MULLE: A grammar-based Latin language learning tool to supplement the classroom setting
    Autor*in: Lange, Herbert ; Ljunglöf, Peter
    Erschienen: 2022
    Verlag:  Stroudsburg, PA : Association for Computational Linguistics ; Mannheim : Leibniz-Institut für Deutsche Sprache (IDS)

    MULLE is a tool for language learning that focuses on teaching Latin as a foreign language. It is aimed for easy integration into the traditional classroom setting and syllabus, which makes it distinct from other language learning tools that provide... mehr

     

    MULLE is a tool for language learning that focuses on teaching Latin as a foreign language. It is aimed for easy integration into the traditional classroom setting and syllabus, which makes it distinct from other language learning tools that provide standalone learning experience. It uses grammar-based lessons and embraces methods of gamification to improve the learner motivation. The main type of exercise provided by our application is to practice translation, but it is also possible to shift the focus to vocabulary or morphology training.

     
    Export in Literaturverwaltung
    Quelle: BASE Fachausschnitt Germanistik
    Sprache: Englisch
    Medientyp: Konferenzveröffentlichung
    Format: Online
    DDC Klassifikation: Sprache (400)
    Schlagworte: Grammatik; Latein; Lateinunterricht; Fremdsprachenlernen; Gamification; Übersetzung; Vokabellernen; Morphologie; Computerlinguistik
    Lizenz:

    creativecommons.org/licenses/by/4.0/ ; info:eu-repo/semantics/openAccess
  6. Implementation of a Latin grammar in grammatical framework
    Autor*in: Lange, Herbert
    Erschienen: 2022
    Verlag:  New York : Association for Computing Machinery ; Mannheim : Leibniz-Institut für Deutsche Sprache (IDS) [Zweitveröffentlichung]

    In this paper we present work in developing a computerized grammar for the Latin language. It demonstrates the principles and challenges in developing a grammar for a natural language in a modern grammar formalism. The grammar presented here provides... mehr

     

    In this paper we present work in developing a computerized grammar for the Latin language. It demonstrates the principles and challenges in developing a grammar for a natural language in a modern grammar formalism. The grammar presented here provides a useful resource for natural language processing applications in different fields. It can be easily adopted for language learning and use in language technology for Cultural Heritage like translation applications or to support post-correction of document digitization.

     
    Export in Literaturverwaltung
    Quelle: BASE Fachausschnitt Germanistik
    Sprache: Englisch
    Medientyp: Konferenzveröffentlichung
    Format: Online
    DDC Klassifikation: Sprache (400)
    Schlagworte: Latein; Grammatik; Computerlinguistik; Natürliche Sprache; Automatische Sprachanalyse
    Lizenz:

    rightsstatements.org/page/InC/1.0/ ; info:eu-repo/semantics/openAccess
  7. Learning domain-specific grammars from a small number of examples
    Autor*in: Lange, Herbert ; Ljunglöf, Peter
    Erschienen: 2022
    Verlag:  Setúbal : SciTePress ; Mannheim : Leibniz-Institut für Deutsche Sprache (IDS)

    In this paper we investigate the problem of grammar inference from a different perspective. The common approach is to try to infer a grammar directly from example sentences, which either requires a large training set or suffers from bad accuracy. We... mehr

     

    In this paper we investigate the problem of grammar inference from a different perspective. The common approach is to try to infer a grammar directly from example sentences, which either requires a large training set or suffers from bad accuracy. We instead view it as a problem of grammar restriction or sub-grammar extraction. We start from a large-scale resource grammar and a small number of examples, and find a sub-grammar that still covers all the examples. To do this we formulate the problem as a constraint satisfaction problem, and use an existing constraint solver to find the optimal grammar. We have made experiments with English, Finnish, German, Swedish and Spanish, which show that 10–20 examples are often sufficient to learn an interesting domain grammar. Possible applications include computer-assisted language learning, domain-specific dialogue systems, computer games, Q/A-systems, and others.

     
    Export in Literaturverwaltung
    Quelle: BASE Fachausschnitt Germanistik
    Sprache: Englisch
    Medientyp: Konferenzveröffentlichung
    Format: Online
    DDC Klassifikation: Sprache (400)
    Schlagworte: Grammatik; Beispiel; Computerlinguistik; Constraint-Erfüllung; Fremdsprachenlernen; Zweisprachigkeit; Kontrastive Grammatik
    Lizenz:

    creativecommons.org/licenses/by-nc-nd/4.0/ ; info:eu-repo/semantics/openAccess
  8. Proceedings of the 8th Workshop on Natural Language Processing for Computer Assisted Language Learning (NLP4CALL 2019), September 30, Turku, Finland
    Autor*in: Alfter, David ; Volodina, Elena ; Borin, Lars ; Pilán, Ildikó ; Lange, Herbert
    Erschienen: 2022
    Verlag:  Linköping : LiU Electronic Press ; Mannheim : Leibniz-Institut für Deutsche Sprache (IDS)

    Content 1 Predicting learner knowledge of individual words using machine learning Drilon Avdiu, Vanessa Bui, Klára Ptacinová Klimci´ková 2 Automatic Generation and Semantic Grading of Esperanto Sentences in a Teaching Context Eckhard Bick 3 Toward... mehr

     

    Content 1 Predicting learner knowledge of individual words using machine learning Drilon Avdiu, Vanessa Bui, Klára Ptacinová Klimci´ková 2 Automatic Generation and Semantic Grading of Esperanto Sentences in a Teaching Context Eckhard Bick 3 Toward automatic improvement of language produced by non-native language learners Mathias Creutz, Eetu Sjöblom 4 Linguistic features and proficiency classification in L2 Spanish and L2 Portuguese Iria del Ri´o 5 Integrating large-scale web data and curated corpus data in a search engine supporting German literacy education Sabrina Dittrich, Zarah Weiss, Hannes Schröter, Detmar Meurers 6 Formalism for a language agnostic language learning game and productive grid generation Sylvain Hatier, Arnaud Bey, Mathieu Loiseau 7 Understanding Vocabulary Growth Through An Adaptive Language Learning System Elma Kerz, Andreas Burgdorf, Daniel Wiechmann, Stefan Meeger,Yu Qiao, Christian Kohlschein, Tobias Meisen 8 Summarization Evaluation meets Short-Answer Grading Margot Mieskes, Ulrike Padó 9 Experiments on Non-native Speech Assessment and its Consistency Ziwei Zhou, Sowmya Vajjala, Seyed Vahid Mirnezami 10 The Impact of Spelling Correction and Task Context on Short Answer Assessment for Intelligent Tutoring Systems Ramon Ziai, Florian Nuxoll, Kordula De Kuthy, Björn Rudzewitz, Detmar Meurers

     
    Export in Literaturverwaltung
    Quelle: BASE Fachausschnitt Germanistik
    Sprache: Englisch
    Medientyp: Konferenzveröffentlichung
    Format: Online
    DDC Klassifikation: Sprache (400)
    Schlagworte: Automatische Sprachanalyse; Natürliche Sprache; Maschinelles Lernen; Korpus; Fremdsprachenlernen; Computerunterstütztes Verfahren; Computerlinguistik
    Lizenz:

    creativecommons.org/licenses/by/4.0/ ; info:eu-repo/semantics/openAccess
  9. Preface
    Autor*in: Alfter, David ; Volodina, Elena ; Borin, Lars ; Pilán, Ildikó ; Lange, Herbert
    Erschienen: 2022
    Verlag:  Linköping : LiU Electronic Press ; Mannheim : Leibniz-Institut für Deutsche Sprache (IDS)

    Export in Literaturverwaltung
    Quelle: BASE Fachausschnitt Germanistik
    Sprache: Englisch
    Medientyp: Konferenzveröffentlichung
    Format: Online
    DDC Klassifikation: Sprache (400)
    Schlagworte: Automatische Sprachanalyse; Natürliche Sprache; Fremdsprachenlernen; Computerunterstütztes Verfahren; Computerlinguistik
    Lizenz:

    creativecommons.org/licenses/by/4.0/ ; info:eu-repo/semantics/openAccess
  10. Proceedings of the 9th Workshop on Natural Language Processing for Computer Assisted Language Learning (NLP4CALL 2020)
    Autor*in: Alfter, David ; Volodina, Elena ; Pilán, Ildikó ; Lange, Herbert ; Borin, Lars
    Erschienen: 2022
    Verlag:  Linköping : LiU Electronic Press ; Mannheim : Leibniz-Institut für Deutsche Sprache (IDS)

    Content 1 Substituto - A Synchronous Educational Language Game for Simultaneous Teaching and Crowdsourcing Marianne Grace Araneta, Gülsen Eryigit, Alexander König, Ji-Ung Lee, Ana Luís, Verena Lyding, Lionel Nicolas, Christos Rodosthenous and... mehr

     

    Content 1 Substituto - A Synchronous Educational Language Game for Simultaneous Teaching and Crowdsourcing Marianne Grace Araneta, Gülsen Eryigit, Alexander König, Ji-Ung Lee, Ana Luís, Verena Lyding, Lionel Nicolas, Christos Rodosthenous and Federico Sangati 2 The Teacher-Student Chatroom Corpus Andrew Caines, Helen Yannakoudakis, Helena Edmondson, Helen Allen, Pascual Pérez-Paredes, Bill Byrne and Paula Buttery 3 Polygloss - A conversational agent for language practice Etiene da Cruz Dalcol and Massimo Poesio 4 Show, Don’t Tell: Visualising Finnish Word Formation in a Browser-Based Reading Assistant Frankie Robertson

     
    Export in Literaturverwaltung
    Quelle: BASE Fachausschnitt Germanistik
    Sprache: Englisch
    Medientyp: Konferenzveröffentlichung
    Format: Online
    DDC Klassifikation: Sprache (400)
    Schlagworte: Automatische Sprachanalyse; Natürliche Sprache; Computerlinguistik; Computerunterstütztes Verfahren; Fremdsprachenlernen; Korpus
    Lizenz:

    creativecommons.org/licenses/by/4.0/ ; info:eu-repo/semantics/openAccess
  11. Preface
    Autor*in: Alfter, David ; Volodina, Elena ; Pilán, Ildikó ; Lange, Herbert ; Borin, Lars
    Erschienen: 2022
    Verlag:  Linköping : LiU Electronic Press ; Mannheim : Leibniz-Institut für Deutsche Sprache (IDS)