Conceptual Networks for Cross-Linguistic Idiomatic Expressions:A Feature-Based Graph Approach
We present an interpretable network-based framework for representing idiomatic and figurative meaning across eight typologically diverse languages, totaling 160 conventional expressions, the large majority of which are idiomatic. Each expression is annotated with binary conceptual features (containment, concealment, emotional, social, etc.) derived from cognitive-linguistic theory, and pairwise Jaccard similarities define a weighted graph. Community detection reveals that idioms cluster by conceptual schema rather than by language, producing a structure consistent with cognitive-linguistic pre
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 49%BaryGraph - knowledge graph where every relationship is its own embedded document (not an edge) [R] →
- FuzzySimilar title/name (fuzzy) · 59%tirth8205/code-review-graph →
“Fuzzy title match (0.73): “Conceptual Networks for Cross-Linguistic Idiomatic Expressio” ≈ “tirth8205/code-review-graph””
- LinkedLinked via arxiv author · 85%Kiran Pala →
“Conceptual Networks for Cross-Linguistic Idiomatic Expressions:A Feature-Based Graph Approach”
- LinkedLinked via arxiv author · 85%Punam Silu →
“Conceptual Networks for Cross-Linguistic Idiomatic Expressions:A Feature-Based Graph Approach”
- LinkedLinked via arxiv author · 85%Lixun Yu →
“Conceptual Networks for Cross-Linguistic Idiomatic Expressions:A Feature-Based Graph Approach”