The challenge with understanding Heptapod B is its nonlinear orthography. Fortunately, Google's neural machine translation system employs an encoder/decoder system that internally represents sentences as high-dimensional vectors. These vectors map well to the non-linear orthography of the Heptapod language and they are really the enabling technical factor in translating Heptapod B.

We interpret Heptapod B into English, Chinese, Danish, Japanese, Urdu, Russian, French, Spanish and Arabic. As with our other Word Lens languages, it works offline, which is really handy if you happen to need to read a circular logogram in an isolated location. Dr. Banks assures us that the app will continue to work for at least 3,000 years.

