公开(公告)号：US12198685B2

公开(公告)日：2025-01-14

申请号：US18184432

申请日：2023-03-15

Applicant: PAYPAL, INC.

Inventor： Sandro Cavallari ,  Yuzhen Zhuo ,  Van Hoang Nguyen ,  Quan Jin Ferdinand Tang ,  Gautam Vasappanavara

IPC: G06F40/00 ,  G06F40/205 ,  G06F40/253 ,  G06F40/284 ,  G10L15/19 ,  G10L15/26

Abstract: Methods and systems are presented for translating informal utterances into formal texts. Informal utterances may include words in abbreviation forms or typographical errors. The informal utterances may be processed by mapping each word in an utterance into a well-defined token. The mapping from the words to the tokens may be based on a context associated with the utterance derived by analyzing the utterance in a character-by-character basis. The token that is mapped for each word can be one of a vocabulary token that corresponds to a formal word in a pre-defined word corpus, an unknown token that corresponds to an unknown word, or a masked token. Formal text may then be generated based on the mapped tokens. Through the processing of informal utterances using the techniques disclosed herein, the informal utterances are both normalized and sanitized.

公开(公告)号：US20230290344A1

公开(公告)日：2023-09-14

申请号：US18184432

申请日：2023-03-15

Applicant: PAYPAL, INC.

Inventor： Sandro Cavallari ,  Yuzhen Zhuo ,  Van Hoang Nguyen ,  Quan Jin Ferdinand Tang ,  Gautam Vasappanavara

IPC: G06F40/284 ,  G06F40/205

CPC classification number: G06F40/284 ,  G06F40/205

Abstract: Methods and systems are presented for translating informal utterances into formal texts. Informal utterances may include words in abbreviation forms or typographical errors. The informal utterances may be processed by mapping each word in an utterance into a well-defined token. The mapping from the words to the tokens may be based on a context associated with the utterance derived by analyzing the utterance in a character-by-character basis. The token that is mapped for each word can be one of a vocabulary token that corresponds to a formal word in a pre-defined word corpus, an unknown token that corresponds to an unknown word, or a masked token. Formal text may then be generated based on the mapped tokens. Through the processing of informal utterances using the techniques disclosed herein, the informal utterances are both normalized and sanitized.

公开(公告)号：US11610582B2

公开(公告)日：2023-03-21

申请号：US16831058

申请日：2020-03-26

Applicant: PAYPAL, INC.

Inventor： Sandro Cavallari ,  Yuzhen Zhuo ,  Van Hoang Nguyen ,  Quan Jin Ferdinand Tang ,  Gautam Vasappanavara

IPC: G06F40/00 ,  G10L15/19 ,  G06F40/253 ,  G06F40/284 ,  G10L15/26

Abstract: Methods and systems are presented for translating informal utterances into formal texts. Informal utterances may include words in abbreviation forms or typographical errors. The informal utterances may be processed by mapping each word in an utterance into a well-defined token. The mapping from the words to the tokens may be based on a context associated with the utterance derived by analyzing the utterance in a character-by-character basis. The token that is mapped for each word can be one of a vocabulary token that corresponds to a formal word in a pre-defined word corpus, an unknown token that corresponds to an unknown word, or a masked token. Formal text may then be generated based on the mapped tokens. Through the processing of informal utterances using the techniques disclosed herein, the informal utterances are both normalized and sanitized.

公开(公告)号：US20210304741A1

公开(公告)日：2021-09-30

申请号：US16831058

申请日：2020-03-26

Applicant: PAYPAL, INC.

Inventor： Sandro Cavallari ,  Yuzhen Zhuo ,  Van Hoang Nguyen ,  Quan Jin Ferdinand Tang ,  Gautam Vasappanavara

IPC: G10L15/19 ,  G10L15/26 ,  G06F40/284 ,  G06F40/253

Abstract: Methods and systems are presented for translating informal utterances into formal texts. Informal utterances may include words in abbreviation forms or typographical errors. The informal utterances may be processed by mapping each word in an utterance into a well-defined token. The mapping from the words to the tokens may be based on a context associated with the utterance derived by analyzing the utterance in a character-by-character basis. The token that is mapped for each word can be one of a vocabulary token that corresponds to a formal word in a pre-defined word corpus, an unknown token that corresponds to an unknown word, or a masked token. Formal text may then be generated based on the mapped tokens. Through the processing of informal utterances using the techniques disclosed herein, the informal utterances are both normalized and sanitized.