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Research on Education and Psychology
Article . 2023 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.60692/ee...
Other literature type . 2023
Data sources: Datacite
https://dx.doi.org/10.60692/8x...
Other literature type . 2023
Data sources: Datacite
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Frequency Analysis of the Top Ten Significant Words Derived with the Suffix -keit in the DeReKo: A Corpus-Based Study in the Context of German as a Foreign Language

التحليل التكراري لأهم عشر كلمات مشتقة من اللاحقة في DeReKo: دراسة قائمة على النصوص في سياق اللغة الألمانية كلغة أجنبية
Authors: Selma AKOL GÖKTAŞ;

Frequency Analysis of the Top Ten Significant Words Derived with the Suffix -keit in the DeReKo: A Corpus-Based Study in the Context of German as a Foreign Language

Abstract

The ability to know the rules of word formation in a language and to use these rules in the process of understanding and producing more complex words is part of language skills. In German, it is possible to derive words of different types and with various meanings with morphemes with suffixes such as -keit, -ung, -ig, -lich. In this study, mixed research method was used in which both quantitative and qualitative data collection methods were used together. The study aimed to answer the following questions: What are the top ten most frequent words derived with the morpheme -keit in the DeReKo corpus? What are the significant conclusions from the data obtained from the frequency analysis of the DeReKo corpus? What is the importance of frequency analysis in the context of German as a Foreign Language? What is the importance of corpus-based studies in the context of German as a Foreign Language? In this study, first of all, the frequency of words derived with the statistically significant morpheme -keit was investigated through frequency analysis in the DeReKo corpus. According to the results of the frequency analysis in DeReKo, the top ten words with the highest frequency are “Möglichkeit, Möglichkeiten, Öffentlichkeit, Tätigkeit, Schwierigkeiten, Aufmerksamkeit, Wirklichkeit, Unabhängigkeit, Fähigkeiten and Notwendigkeit”. Finally, the importance of corpus-based studies and frequency analysis for GFL is emphasized.

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Keywords

Artificial intelligence, History, Sentence, Social Sciences, Language and Linguistics, Context (archaeology), Impact of Emoticons on Computer-Mediated Communication, Language Education and Intercultural Communication, Alan Eğitimleri (Diğer), Suffix, Corpus linguistics, Natural language processing, Linguistics, Other Fields of Education (Other), German, Language Discourse and Communication Studies, Computer science, Word lists by frequency, FOS: Philosophy, ethics and religion, Human-Computer Interaction, Philosophy, Archaeology, German as a Foreign Language, Computer Science, Physical Sciences, FOS: Languages and literature, Arts and Humanities, Morpheme, Corpus linguistics;DeReKo;Frequency analysis;-keit suffix

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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