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  1. A Learners’ Dictionary versus ChatGPT in receptive and productive lexical tasks
    Autor*in: Ptasznik, Bartosz ; Wolfer, Sascha ; Lew, Robert
    Erschienen: 2024
    Verlag:  Oxford : Oxford University Press ; Mannheim : Leibniz-Institut für Deutsche Sprache (IDS)

    This study assesses the effectiveness of ChatGPT versus the Longman Dictionary of Contemporary English (LDOCE) in supporting English language learners in lexically challenging receptive and productive lexical tasks. With a sample of 223 university... mehr

     

    This study assesses the effectiveness of ChatGPT versus the Longman Dictionary of Contemporary English (LDOCE) in supporting English language learners in lexically challenging receptive and productive lexical tasks. With a sample of 223 university students at B2 to C1 proficiency levels, this research investigates whether a leading AI-driven chatbot or a high-quality learners’ dictionary better assists learners in accurately understanding and producing English. The results reveal ChatGPT’s superior performance in both task types. Efficiency, in terms of consultation speed, also favoured ChatGPT, though only in the production task. This study advocates for an integrated approach that leverages both AI, with its interactive and immediate feedback, and more traditional lexicographic tools that may foster learner autonomy and linguistic proficiency.

     
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: BASE Fachausschnitt Germanistik
    Sprache: Englisch
    Medientyp: Aufsatz aus einer Zeitschrift
    Format: Online
    DDC Klassifikation: Sprache (400)
    Schlagworte: Wörterbuch; Künstliche Intelligenz; Datenanalyse; Chatbot
    Lizenz:

    rightsstatements.org/page/InC/1.0/ ; info:eu-repo/semantics/openAccess
  2. The effectiveness of ChatGPT as a lexical tool for English, compared with a bilingual dictionary and a monolingual learner’s dictionary
    Autor*in: Lew, Robert ; Ptasznik, Bartosz ; Wolfer, Sascha
    Erschienen: 2024
    Verlag:  Berlin : Springer Nature ; Mannheim : Leibniz-Institut für Deutsche Sprache (IDS)

    Traditionally, language learners have relied on dictionaries when trying to read or write in a foreign language. However, new LLM-based chatbots may offer an alternative to traditional dictionaries as lexical tools. This study assesses the... mehr

     

    Traditionally, language learners have relied on dictionaries when trying to read or write in a foreign language. However, new LLM-based chatbots may offer an alternative to traditional dictionaries as lexical tools. This study assesses the effectiveness of ChatGPT versus the monolingual Longman Dictionary of Contemporary English (LDOCE, 2024) and the bilingual Diki.pl (Diki.pl, 2024) online dictionaries in supporting English language learners in receptive and productive lexical tasks. With a sample of 166 university students at B2 to C1 proficiency levels and forty uncommon English phrasal verbs, we investigate whether a leading AI-driven chatbot, a high-quality learners’ dictionary, or a popular free bilingual dictionary offers better support in accurately understanding and producing English. The results reveal ChatGPT to be more effective than either dictionary in production, and better than the monolingual dictionary, but not the bilingual dictionary, in reception.

     
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: BASE Fachausschnitt Germanistik
    Sprache: Englisch
    Medientyp: Aufsatz aus einer Zeitschrift
    Format: Online
    DDC Klassifikation: Englisch, Altenglisch (420)
    Schlagworte: ChatGPT; Wortschatz; Wörterbuch; Großes Sprachmodell; Chatbot; Künstliche Intelligenz
    Lizenz:

    creativecommons.org/licenses/by/4.0/deed.de ; info:eu-repo/semantics/openAccess
  3. Do chatbots dream of copyright? Copyright in AI-generated language data
    Autor*in: Kamocki, Paweł ; Bond, Toby ; Lindén, Krister ; Margoni, Thomas
    Erschienen: 2024
    Verlag:  Utrecht : Clarin ; Mannheim : Leibniz-Institut für Deutsche Sprache (IDS)

    For language scientists, a prima facie advantage of AI-generated data over human-created content is that AI outputs are generally regarded as free from copyright. This submission addresses this issue in some detail. mehr

     

    For language scientists, a prima facie advantage of AI-generated data over human-created content is that AI outputs are generally regarded as free from copyright. This submission addresses this issue in some detail.

     
    Export in Literaturverwaltung
    Quelle: BASE Fachausschnitt Germanistik
    Sprache: Englisch
    Medientyp: Konferenzveröffentlichung
    Format: Online
    DDC Klassifikation: Sprache (400)
    Schlagworte: Datenanalyse; Urheberrecht; Künstliche Intelligenz; Maschinelles Lernen; Chatbot; Sprachdaten
    Lizenz:

    creativecommons.org/licenses/by/4.0/ ; info:eu-repo/semantics/openAccess