Embedding-based word-level translation
Automated machine translation has come a long way, and neural machine translation (as used e.g. by Google Translate) is now very good. However, translating large quantities of texts for research purposes remains very resource intensive. I make available bilingual word-level translation dictionaries that exceed in both size and quality any readily available alternatives. WMtranslation includes these dictionaries, along with python notebooks that can be used to apply them to translate text, as well as notebooks and code that can be used to develop translation dictionaries for additional language pairs.
Illustration by M.C. Escher - Tower of Babel (fair use)