Patent ID: 11875131
Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method for providing a predictive model for a target language, the method comprising:
inputting, by one or more computer processors, source language textual units and target language textual units into a pretrained language neural network;
generating by the one or more computer processors, source language vectors from the source language textual units;
generating, by the one or more computer processors, target language vectors from the target language textual units;
measuring, by the one or more computer processors, a similarity between a source language vector of the source language vectors and a plural set of target language vectors of the target language vectors;
determining, by the one or more computer processors, a scalar instance weight for each source language vector according to the similarity;
generating, by the one or more computer processors, a scaled error between a predicted label for the source language textual unit and a ground-truth label for the source language textual unit, using the scalar instance weight for the source language vector;
computing, by the one or more computer processors, updates for network parameters of a downstream predictive neural network model according to the scaled error;
computing, by the one or more computer processors, updates for network parameters of the language neural network according to the scaled error, and
providing, by the one or more computer processors, a predictive neural network model for the target language, the predictive neural network model including the downstream predictive neural network and the language neural network.