Machine translation method, devices, and storage media
AssigneeSamsung Electronics Co., Ltd.
InventorsFan ZHANG, Mei TU, Song LIU
Life of this patent
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Abstract
A method performed by an electronic device comprises acquiring information to be translated. The method includes determining, based on the information to be translated, a target domain adapter from a plurality of candidate domain adapters, the target domain adapter corresponding to the information to be translated, each candidate domain adapter from the plurality of candidate domain adapters corresponding to at least one domain. The method includes obtaining, based on the target domain adapter corresponding to the information to be translated, a translation result corresponding to the information to be translated.
Claims20
A method performed by an electronic device, the method comprising:
- acquiring information to be translated;
- determining, based on the information to be translated, a target domain adapter from a plurality of candidate domain adapters, the target domain adapter corresponding to the information to be translated, each candidate domain adapter from the plurality of candidate domain adapters corresponding to at least one domain;
- and
- obtaining, based on the target domain adapter corresponding to the information to be translated, a translation result corresponding to the information to be translated.
A method performed by an electronic device, comprising:
- displaying a list of translation domains, the list of translation domains comprising identification information of at least one candidate translation domain of a plurality of candidate translation domains;
- acquiring a first input of a user, the first input for selecting a translation domain from the list of translation domains;
- in response to the first input, downloading a domain adapter of the corresponding domain.
A method performed by an electronic device, comprising:
- acquiring a dataset tag of a target dataset, the dataset tag characterizing a data distribution category of each data in the target dataset;
- training a data distribution prediction module based on the target dataset and the dataset tag, the data distribution prediction module for predicting a probability that each data in the target dataset belongs to respective data distribution categories, wherein each data distribution category corresponds to at least one domain;
- and
- based on the trained data distribution prediction module, training each candidate domain adapter to obtain a machine translation model, wherein each candidate domain adapter corresponds to at least one domain.
Dependencies are inferred from the claim text.