Global and Local Features of Semantic Networks in Hebrew
Author Information
Author(s): Kenett Yoed N., Kenett Dror Y., Ben-Jacob Eshel, Faust Miriam
Primary Institution: Bar-Ilan University
Hypothesis
How do global and local features of the Hebrew lexicon influence semantic search processes?
Conclusion
The study found that the Hebrew lexicon exhibits Small-World Network features, which influence how words activate each other in semantic memory.
Supporting Evidence
- The Hebrew lexicon shows a high clustering coefficient and a scale-free distribution.
- The study provides a quantitative analysis of Hebrew semantics for the first time.
- The findings relate to classical research on spreading activation in semantic memory.
Takeaway
This study looked at how words in Hebrew are connected and found that they work together like a web, helping us remember and find words more easily.
Methodology
The study analyzed free association norms using correlation and network theory methodologies.
Limitations
The sample size of target words was small compared to the entire mental lexicon.
Participant Demographics
60 Hebrew-speaking subjects participated in the study.
Statistical Information
P-Value
p<0.05
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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