US 11,720,752 B2
Machine learning enabled text analysis with multi-language support
Tobias Weller, Buseck (DE)
Assigned to SAP SE, Walldorf (DE)
Filed by SAP SE, Walldorf (DE)
Filed on Jul. 7, 2020, as Appl. No. 16/922,922.
Prior Publication US 2022/0012429 A1, Jan. 13, 2022
Int. Cl. G06F 40/263 (2020.01); G06F 40/279 (2020.01); G06F 40/295 (2020.01); G06N 20/20 (2019.01); G06N 3/02 (2006.01); G06N 20/10 (2019.01); G06F 18/214 (2023.01)
CPC G06F 40/295 (2020.01) [G06F 18/2148 (2023.01); G06N 3/02 (2013.01); G06N 20/10 (2019.01); G06N 20/20 (2019.01)] 16 Claims
OG exemplary drawing
 
1. A system, comprising:
at least one data processor; and
at least one memory storing instructions which, when executed by the at least one data processor, result in operations comprising:
training, based at least on a training data, a language determination model, the training data including a first performance of a first machine learning model analyzing text in a first language, a second language, and/or a third language, and the training data further including a second performance of a second machine learning model analyzing text in the first language, the second language, and/or the third language;
applying the language determination model to select the first machine learning model instead of the second machine learning model to analyze an input text in the third language, the language determination model selecting the first machine learning model trained to analyze text in the first language based at least on the first machine learning model having a better performance analyzing text in the third language than the second machine learning model trained to analyze text in the second language; and
analyzing the input text by at least applying, to the input text, the first machine leaning model.