ALEXANDRIA, Va., Aug. 20 -- United States Patent no. 12,393,795, issued on Aug. 19, was assigned to GOOGLE LLC (Mountain View, Calif.).
"Modeling ambiguity in neural machine translation" was invented by Felix Stahlberg (Berlin) and Shankar Kumar (New York).
According to the abstract* released by the U.S. Patent & Trademark Office: "The technology addresses ambiguity in neural machine translation. An encoder module receives a given text exemplar and generates an encoded representation of it. A decoder module receives the encoded representation and a set of translation prefixes. The decoder module outputs an unbounded function corresponding to a set of tokens associated with each pair of the given text exemplar and translation prefix from t...