Snap Inc.

Lynx Analytics Pte. Ltd.

Hauni Maschinenbau Ag

András Németh

Hans Dierken

Zsolt Robotka

Dávid Retek

Márton Kajtar

Frank Schuster

Dávid Pálházi

János Rovnyai

Mátyás Trosztel

Attila Alvarez

Dániel Darabos

Péter Pócsi

Péter Erben

Dávid Herskovics

Tamás Gerberich

Markus Kleinfeld

A system and method for translating sign language utterances into a target language, including: receiving motion capture data; producing phonemes/sign fragments from the received motion capture data; producing a plurality of sign sequences from the phonemes/sign fragments; parsing these sign sequences to produce grammatically parsed sign utterances; translating the grammatically parsed sign utterances into grammatical representations in the target language; and generating output utterances in the target language based upon the grammatical representations.

Computer vision based sign language interpreter

Data processing method of simulating changes to categorical features of subjects are described. A method of simulating changes to categorical features of subjects comprises: receiving a current categorical feature set for the subject, the current categorical feature set for the subject comprising a plurality of categorical features for the subject, each categorical feature indicating a category from a plurality of possible categories into which the subject falls; inputting categorical features from the current categorical feature set for the subject into a set of trained machine learning models, each trained machine learning model of the set of trained machine learning model being configured to predict a respective outcome value for the subject from one or more of the categorical features for the subject, and thereby generating a set of current predicted outcome values for the subject; generating a plurality of simulated categorical features sets for the subject by varying respective categorical features for the subject; inputting categorical features from the simulated categorical feature sets for the subject into the set of trained machine learning models, and thereby generating a plurality of simulated sets of predicted outcome values for the subject; and storing a predicted outcome dataset for the subject, the predicted outcome dataset comprising the set of current predicted outcome values for the subject and the plurality of simulated sets of predicted outcome values for the subject.

Data processing methods and systems for simulating changes to categorical features

Growing community of inventors

Budapest, Hungary

András Németh