MUMBAI, India, June 13 -- Intellectual Property India has published a patent application (202417072781 A) filed by Google Llc, Mountain View, U.S.A., on Sept. 26, 2024, for 'modeling ambiguity in neural machine translation.'
Inventor(s) include Stahlberg, Felix; and Kumar, Shankar.
The application for the patent was published on June 13, under issue no. 24/2025.
According to the abstract released by the Intellectual Property India: "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 the set of translation prefixes. Each token is assigned a probability between 0 and 1 in a vocabulary of the exemplar at each time step. A logits module generates, based on the unbounded function, a corresponding bounded conditional probability for each token, wherein the probabilities are not normalized over the vocabulary at each time step. A loss function module having a positive loss component and a scaled negative loss component identifies whether each target text of a set of target texts is a valid translation of the exemplar."
The patent application was internationally filed on Apr. 28, 2022, under International application No.PCT/US2022/026683.
Disclaimer: Curated by HT Syndication.
