The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 10, 2026

Filed:

May. 16, 2023
Applicant:

Openstream Inc., Somerset, NJ (US);

Inventors:

Zhuang Li, Glen Waverley, AU;

Ghlolamreza Haffari, Wheelers Hill, AU;

Rajasekhar Tumuluri, Bridgewater, NJ (US);

Philp R. Cohen, Deer Harbor, WA (US);

Assignee:

Openstream Inc., Bridgewater, NJ (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G10L 15/06 (2013.01); G10L 15/18 (2013.01);
U.S. Cl.
CPC ...
G10L 15/063 (2013.01); G10L 15/1822 (2013.01); G10L 2015/0635 (2013.01);
Abstract

Described is a system and method for training a multilingual semantic parser. A method includes receiving, by a multilingual semantic parser, a multilingual training dataset, wherein the multilingual training dataset includes pairs of utterances and meaning representations from at least one high-resource language and at least one low-resource language and wherein the multilingual training dataset is initially a machine-translated dataset, training, the multilingual semantic parser, by translating the utterances in the multilingual training dataset to a target language; and iteratively performing selecting, by an acquisition functions estimator, a subset of the multilingual training dataset for human translation, updating the multilingual training dataset with the human-translated subset of the multilingual training dataset with, and retraining, the multilingual semantic parser, with the updated multilingual training dataset.


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