Invention Grant
- Patent Title: Machine learned language modeling and identification
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Application No.: US17544664Application Date: 2021-12-07
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Publication No.: US11704488B2Publication Date: 2023-07-18
- Inventor: Vitor Rocha de Carvalho , Luis Carlos Dos Santos Marujo , Leonardo Ribas Machado das Neves
- Applicant: Snap Inc.
- Applicant Address: US CA Santa Monica
- Assignee: Snap Inc.
- Current Assignee: Snap Inc.
- Current Assignee Address: US CA Santa Monica
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06F40/263
- IPC: G06F40/263 ; G06F40/284 ; G06F40/295 ; G06N20/00

Abstract:
Systems, devices, media, and methods are presented for generating a language detection model of a language analysis system. The systems and methods access a set of messages including text elements and convert the set of messages into a set of training messages. The set of training messages are configured for training a language detection model. The systems and methods train a classifier based on the set of training messages. The classifier has a set of features representing word frequency, character frequency, and a character ratio. The systems and methods generate a language detection model based on the classifier and the set of features.
Public/Granted literature
- US20220092261A1 MACHINE LEARNED LANGUAGE MODELING AND IDENTIFICATION Public/Granted day:2022-03-24
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