MULTI-TRAD studies register variation in Spanish–English Third Social Sector discourse. Using a corpus-based multidimensional approach, it compares human translation, machine translation, and post-editing. The project informs register-based translation research and supports the development of a custom neural machine translation engine for the Third Social Sector.