Patent ID: 11900922
Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A computer-implemented method comprising:
accessing one or more intents and associated entities from limited amount of speech to text training data in a single language;
identifying candidate speech to text training data from one or more other languages, each language differing from the single language based on the accessed intents and associated entities;
pooling shared parameters from the identified candidate speech to text training data with the limited amount of speech to text training data in the single language;
training a neural network using the pooled shared parameters from the identified candidate speech to text training data and the limited amount of speech to text training data in the single language;
in response to receiving media containing speech associated with an unidentified language, identifying, in real time, at least one known language and domain that represents a topic discussed in the received media;
identifying language independent intent from the identified language using the pooled shared parameters and adding a respective label to the identified language and language independent intent; and
adapting the trained neural network to specific domains within the same language by replacing language specific parameters of the trained neural network with a new domain and respective language specific layer while maintaining shared layers.