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  1. What lexical factors drive look-ups in the English Wiktionary?
    Autor*in: Lew, Robert ; Wolfer, Sascha
    Erschienen: 2024
    Verlag:  Thousand Oaks, CA : SAGE ; Mannheim : Leibniz-Institut für Deutsche Sprache (IDS)

    This study aims to establish what lexical factors make it more likely for dictionary users to consult specific articles in a dictionary using the English Wiktionary log files, which include records of user visits over the course of 6 years. Recent... mehr

     

    This study aims to establish what lexical factors make it more likely for dictionary users to consult specific articles in a dictionary using the English Wiktionary log files, which include records of user visits over the course of 6 years. Recent findings suggest that lexical frequency is a significant factor predicting look-up behavior, with the more frequent words being more likely to be consulted. Three further lexical factors are brought into focus: (1) age of acquisition; (2) lexical prevalence; and (3) degree of polysemy operationalized as the number of dictionary senses. Age of acquisition and lexical prevalence data were obtained from recent published studies and linked to the list of visited Wiktionary lemmas, whereas polysemy status was derived from Wiktionary entries themselves. Regression modeling confirms the significance of corpus frequency in explaining user interest in looking up words in the dictionary. However, the remaining three factors also make a contribution whose nature is discussed and interpreted. Knowing what makes dictionary users look up words is both theoretically interesting and practically useful to lexicographers, telling them which lexical items should be prioritized in lexicographic work.

     
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    Quelle: BASE Fachausschnitt Germanistik
    Sprache: Englisch
    Medientyp: Aufsatz aus einer Zeitschrift
    Format: Online
    DDC Klassifikation: Sprache (400)
    Schlagworte: Wörterbuch; Worthäufigkeit; Logdatei; Regressionsanalyse; Lexikografie; Online-Wörterbuch
    Lizenz:

    creativecommons.org/licenses/by/4.0/ ; info:eu-repo/semantics/openAccess
  2. CEFR vocabulary level as a predictor of user interest in English Wiktionary entries
    Autor*in: Lew, Robert ; Wolfer, Sascha
    Erschienen: 2024
    Verlag:  Berlin : Springer ; Mannheim : Leibniz-Institut für Deutsche Sprache (IDS)

    This contribution explores the relationship between the English CEFR (Common European Framework of Reference for Languages) vocabulary levels and user interest in English Wiktionary entries. User interest was operationalized through the number of... mehr

     

    This contribution explores the relationship between the English CEFR (Common European Framework of Reference for Languages) vocabulary levels and user interest in English Wiktionary entries. User interest was operationalized through the number of views of these entries in Wikimedia server logs covering a period of four years (2019–2022). Our findings reveal a significant relationship between CEFR levels and user interest: entries classified at lower CEFR levels tend to attract more views, which suggests a greater user interest in more basic vocabulary. A multiple regression model controlling for other known or potential factors affecting interest: corpus frequency, polysemy, word prevalence, and age of acquisition confirmed that lower CEFR levels attract significantly more views even after taking into account the other predictors. These findings highlight the importance of CEFR levels in predicting which words users are likely to look up, with implications for lexicography and the development of language learning materials.

     
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    Quelle: BASE Fachausschnitt Germanistik
    Sprache: Englisch
    Medientyp: Aufsatz aus einer Zeitschrift
    Format: Online
    DDC Klassifikation: Sprache (400)
    Schlagworte: Prädiktor; Sprachkompetenz; Wortschatz; Polysemie; Korpus; Benutzerverhalten
    Lizenz:

    creativecommons.org/licenses/by/4.0/ ; info:eu-repo/semantics/openAccess
  3. 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
  4. 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