International Business Machines Corporation
Multi-lingual action identification

Last updated:

Abstract:

Embodiments relate to an intelligent computer platform to identify and process communications across multiple languages. An originating communication is identified, including identification of language, action tokens, and linguistic features. A first map of the identified action tokens and linguistic features from the originating language to a second format is created and populated into identifying machine learning model (MLM). A second communication is identified, including the originating language, action tokens, and linguistic features, and a second map is created of the identified action tokens and linguistic features of the second communication. The second map and the MLM are leveraged to identify and return a predicted action token class of the identified action tokens in the second communication.

Status:
Grant
Type:

Utility

Filling date:

10 Jul 2019

Issue date:

7 Jun 2022