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Can we utilize Large Language Models (LLMs) to generate useful linguistic corpora? A case study of the word frequency effect in young German readers

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AVZXYZATW" target="_blank" >RIV/00216208:11320/23:VZXYZATW - isvavai.cz</a>

  • Result on the web

    <a href="https://osf.io/preprints/psyarxiv/gm9b6/download" target="_blank" >https://osf.io/preprints/psyarxiv/gm9b6/download</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.31234/osf.io/gm9b6" target="_blank" >10.31234/osf.io/gm9b6</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Can we utilize Large Language Models (LLMs) to generate useful linguistic corpora? A case study of the word frequency effect in young German readers

  • Original language description

    "Large Language Models (LLMs) recently became able to generate long andncoherent stories responding to specific prompts. Here, we utilize LLMs toncreate a text corpus to estimate word frequency specifically for German-nspeaking young readers (Grades 1-4)."

  • Czech name

  • Czech description

Classification

  • Type

    O - Miscellaneous

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů