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
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů