At our company, where we develop machine translation engines, we collect parallel translation data across numerous fields. Recently, neural network translation engines, which are based on artificial intelligence (AI), have become mainstream, and it is possible to develop translation engines and improve translation accuracy by training them on large amounts of parallel data. To improve translation accuracy in the tourism field, we need parallel data for the tourism field, and to improve translation accuracy in the legal field, we need parallel data for the legal field, and so...