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  1. Weniger ist mehr? Eine Analyse zur „Neigung zum Hinzufügen“ im Deutschen anhand des neuen Häufigkeitsdatensatzes DeReKoGram
    Autor*in: Wolfer, Sascha ; Koplenig, Alexander ; Kupietz, Marc ; Müller-Spitzer, Carolin
    Erschienen: 2024
    Verlag:  Mannheim : Leibniz-Institut für Deutsche Sprache (IDS)

  2. Text length strongly matters when analysing word frequency distributions
    Autor*in: Koplenig, Alexander
    Erschienen: 2024
    Verlag:  Charlottesville, VA : OSF Preprints, Center for Open Science ; Mannheim : Leibniz-Institut für Deutsche Sprache (IDS)

    In a previous study, Aceves and Evans (AE) present a large-scale quantitative information-theoretic analysis of parallel corpus data in approximately 1,000 languages to show that there are apparently strong associations between the way languages... mehr

     

    In a previous study, Aceves and Evans (AE) present a large-scale quantitative information-theoretic analysis of parallel corpus data in approximately 1,000 languages to show that there are apparently strong associations between the way languages encode information into words and patterns of communication, such as the configuration of semantic information. During the peer review process, one reviewer raised the question of the extent to which the presented results depend on different text lengths (see the Peer Review File). This is a very important question given that most, if not all, of the quantities associated with word frequency distributions vary systematically with text length. While AE claim that text length does not affect the results presented, I challenge this view by presenting analyses of AE's data and synthetic data that suggest that, contrary to AE's claim, both information density and semantic density are almost completely determined by text length. I also highlight that AE confuse the information-theoretic definition of information as established by Shannon with the everyday notion of information as knowledge or propositional content.

     
    Export in Literaturverwaltung
    Quelle: BASE Fachausschnitt Germanistik
    Sprache: Englisch
    Medientyp: Bericht
    Format: Online
    DDC Klassifikation: Sprache (400)
    Schlagworte: Korpus; Worthäufigkeit; Häufigkeitsverteilung; Quantitative Analyse; Kommunikation
    Lizenz:

    creativecommons.org/licenses/by/4.0/ ; info:eu-repo/semantics/openAccess
  3. Less than one percent of words would be affected by gender-inclusive language in German press texts
    Autor*in: Müller-Spitzer, Carolin ; Ochs, Samira ; Koplenig, Alexander ; Rüdiger, Jan Oliver ; Wolfer, Sascha
    Erschienen: 2024
    Verlag:  Berlin : Springer Nature ; Mannheim : Leibniz-Institut für Deutsche Sprache (IDS)

    Research on gender and language is tightly knitted to social debates on gender equality and non-discriminatory language use. Psycholinguistic scholars have made significant contributions in this field. However, corpus-based studies that investigate... mehr

     

    Research on gender and language is tightly knitted to social debates on gender equality and non-discriminatory language use. Psycholinguistic scholars have made significant contributions in this field. However, corpus-based studies that investigate these matters within the context of language use are still rare. In our study, we address the question of how much textual material would actually have to be changed if non-gender-inclusive texts were rewritten to be gender-inclusive. This quantitative measure is an important empirical insight, as a recurring argument against the use of gender-inclusive German is that it supposedly makes written texts too long and complicated. It is also argued that gender-inclusive language has negative effects on language learners. However, such effects are only likely if gender-inclusive texts are very different from those that are not gender-inclusive. In our corpus-linguistic study, we manually annotated German press texts to identify the parts that would have to be changed. Our results show that, on average, less than 1% of all tokens would be affected by gender-inclusive language. This small proportion calls into question whether gender-inclusive German presents a substantial barrier to understanding and learning the language, particularly when we take into account the potential complexities of interpreting masculine generics.

     
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: BASE Fachausschnitt Germanistik
    Sprache: Englisch
    Medientyp: Aufsatz aus einer Zeitschrift
    Format: Online
    DDC Klassifikation: Germanische Sprachen; Deutsch (430)
    Schlagworte: Geschlechtergerechte Sprache; Deutsch; Zeitungstext; Korpus
    Lizenz:

    creativecommons.org/licenses/by/4.0/ ; info:eu-repo/semantics/openAccess
  4. Still no evidence for an effect of the proportion of non-native speakers on natural language complexity
    Autor*in: Koplenig, Alexander
    Erschienen: 2024
    Verlag:  Basel : MDPI ; Mannheim : Leibniz-Institut für Deutsche Sprache (IDS)

    In a recent study, I demonstrated that large numbers of L2 (second language) speakers do not appear to influence the morphological or information-theoretic complexity of natural languages. This paper has three primary aims: First, I address recent... mehr

     

    In a recent study, I demonstrated that large numbers of L2 (second language) speakers do not appear to influence the morphological or information-theoretic complexity of natural languages. This paper has three primary aims: First, I address recent criticisms of my analyses, showing that the points raised by my critics were already explicitly considered and analysed in my original work. Furthermore, I show that the proposed alternative analyses fail to withstand detailed examination. Second, I introduce new data on the information-theoretic complexity of natural languages, with the estimates derived from various language models—ranging from simple statistical models to advanced neural networks—based on a database of 40 multilingual text collections that represent a wide range of text types. Third, I re-analyse the information-theoretic and morphological complexity data using novel methods that better account for model uncertainty in parameter estimation, as well as the genealogical relatedness and geographic proximity of languages. In line with my earlier findings, the results show no evidence that large numbers of L2 speakers have an effect on natural language complexity.

     
    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: Non-native speaker; Natürliche Sprache; Sprachtypologie; Sprachstatistik; Statistische Analyse; Computerlinguistik
    Lizenz:

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