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Enable users to map how semantic concepts align or drift across languages (e.g. comparing "apple", "manzana", "apfel" in a shared multilingual vector space).
Implementation Checklist
Model Selection & Precomputation:
Use a multilingual sentence/word model (e.g. sentence-transformers/LaBSE or multilingual-e5-small) to generate aligned vectors for a shared lexicon (~1,000 common concepts in English, Spanish, French, German).
Project the joint vectors to a shared 2D coordinate space using UMAP.
Frontend Interface:
Create a /multilingual route that shows a dual-galaxy or overlay view of languages.
Highlighting a word in English automatically draws connection lines to its translation equivalents in other languages, showing the distance/drift (e.g., "compromise" in English might sit differently from "compromiso" in Spanish due to cultural variations).
Description
Enable users to map how semantic concepts align or drift across languages (e.g. comparing "apple", "manzana", "apfel" in a shared multilingual vector space).
Implementation Checklist
sentence-transformers/LaBSEormultilingual-e5-small) to generate aligned vectors for a shared lexicon (~1,000 common concepts in English, Spanish, French, German)./multilingualroute that shows a dual-galaxy or overlay view of languages.