Infosys Limited
SYSTEM AND METHOD FOR TRAINING A NEURAL MACHINETRANSLATION MODEL
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Abstract:
The system and method for training a neural machine translation (NMT) model is disclosed wherein training data in terms of source statements and equivalent targets statements may be received. The source statements and equivalent targets statements may be encoded using source and target vocabulary respectively. A source-target map containing relation between tokens is created. The source statements and equivalent target statements is split into multiple fragments using fragments generator based on the source-target map. Such generated multiple fragments are used to train NMT model. Whenever the trained NMT model receives a source codes as input, the source codes are transformed to target codes.
Status:
Application
Type:
Utility
Filling date:
22 Nov 2021
Issue date:
26 May 2022