This project explores the semantic differences and similarities in odor vocabularies across multiple languages and domains, employing a data-driven approach that utilizes natural text corpora. In the first part of the project, we focused extensively on the English language, using a wide range of language models, which led to two submissions to high-impact journals. As we move forward, our research will now expand to include three additional languages: Swedish, Turkish, and Thai, analyzing the semantic organization of olfactory vocabularies in these languages within various domains such as wine, perfume, and food.