Content explanation method and apparatus

    公开(公告)号:US11574203B2

    公开(公告)日:2023-02-07

    申请号:US16586092

    申请日:2019-09-27

    Abstract: A content explanation method and apparatus applied to content explanation includes identifying, by a content explanation apparatus, an emotion of the user, when identifying a negative emotion showing that the user is confused about delivered multimedia information, obtaining, by the content explanation apparatus, a target representation manner of target content in a target intelligence type, where the target content is content about which the user is confused in the multimedia information delivered to the user by an information delivery apparatus associated with the content explanation apparatus, and presenting, by the content explanation apparatus, the target content to the user in the target representation manner.

    Syntax analysis method and apparatus

    公开(公告)号:US10909315B2

    公开(公告)日:2021-02-02

    申请号:US15872993

    申请日:2018-01-17

    Abstract: A syntax analysis method and apparatus are disclosed. The method includes: obtaining a source language sentence that is a translation of a target language sentence (S110); determining instances of state transition for the target language sentence according to the source language sentence and a correspondence between words of the target language sentence and words of the source language sentence (S120); and generating a syntax tree of the target language sentence according to the instances of state transition for the target language sentence (S130). The syntax analysis method and apparatus can improve efficiency of syntax analysis.

    Sequence translation probability adjustment

    公开(公告)号:US11132516B2

    公开(公告)日:2021-09-28

    申请号:US16396172

    申请日:2019-04-26

    Abstract: A sequence conversion method includes receiving a source sequence, converting the source sequence into a source vector representation sequence, obtaining at least two candidate target sequences and a translation probability value of each of the at least two candidate target sequences according to the source vector representation sequence, adjusting the translation probability value of each candidate target sequence, selecting an output target sequence from the at least two candidate target sequences according to an adjusted translation probability value of each candidate target sequence, and outputting the output target sequence. Hence, loyalty of a target sequence to a source sequence can be improved during sequence conversion.

    Content Explanation Method and Apparatus
    5.
    发明申请

    公开(公告)号:US20200027004A1

    公开(公告)日:2020-01-23

    申请号:US16586092

    申请日:2019-09-27

    Abstract: A content explanation method and apparatus applied to content explanation includes identifying, by a content explanation apparatus, an emotion of the user, when identifying a negative emotion showing that the user is confused about delivered multimedia information, obtaining, by the content explanation apparatus, a target representation manner of target content in a target intelligence type, where the target content is content about which the user is confused in the multimedia information delivered to the user by an information delivery apparatus associated with the content explanation apparatus, and presenting, by the content explanation apparatus, the target content to the user in the target representation manner.

    Translation method and apparatus
    6.
    发明授权

    公开(公告)号:US11244108B2

    公开(公告)日:2022-02-08

    申请号:US16452439

    申请日:2019-06-25

    Abstract: Embodiments of the present invention provide a translation method and apparatus, and relate to the field of machine translation. The method includes: obtaining a to-be-translated sentence, where the to-be-translated sentence is a sentence expressed in a first language; determining a first named entity set in the to-be-translated sentence, and an entity type of each first named entity in the first named entity set; determining, based on the first named entity set and the entity type of each first named entity, a second named entity set expressed in a second language; determining a source semantic template of the to-be-translated sentence, and obtaining a target semantic template corresponding to the source semantic template from a semantic template correspondence; and determining a target translation sentence based on the second named entity set and the target semantic template.

    Machine Translation Method and Apparatus, and Storage Medium

    公开(公告)号:US20200089774A1

    公开(公告)日:2020-03-19

    申请号:US16694239

    申请日:2019-11-25

    Abstract: The method includes: obtaining a to-be-translated source document, where the source document includes at least one character of a source language; converting the source document into a plurality of target documents respectively by using a plurality of machine translation apparatuses, where one machine translation apparatus is configured to translate the source document into one target document, the target document includes at least one character of a target language, and the source language is different from the target language; determining a feature value of each preset feature of each target document; determining a recommendation rating of each target document based on the feature value of each preset feature of each target document; and outputting a target document with a highest recommendation rating based on the recommendation rating of each target document.

    Sequence Conversion Method and Apparatus
    8.
    发明申请

    公开(公告)号:US20190251178A1

    公开(公告)日:2019-08-15

    申请号:US16396172

    申请日:2019-04-26

    Abstract: A sequence conversion method includes receiving a source sequence, converting the source sequence into a source vector representation sequence, obtaining at least two candidate target sequences and a translation probability value of each of the at least two candidate target sequences according to the source vector representation sequence, adjusting the translation probability value of each candidate target sequence, selecting an output target sequence from the at least two candidate target sequences according to an adjusted translation probability value of each candidate target sequence, and outputting the output target sequence. Hence, loyalty of a target sequence to a source sequence can be improved during sequence conversion.

    SEQUENCE CONVERSION METHOD AND APPARATUS IN NATURAL LANGUAGE PROCESSING

    公开(公告)号:US20190179905A1

    公开(公告)日:2019-06-13

    申请号:US16276627

    申请日:2019-02-15

    Abstract: The present application relates to natural language processing and discloses a sequence conversion method. The method includes: obtaining a source sequence from an input signal; converting the source sequence into one or more source context vectors; obtaining a target context vector corresponding to each source context vector; combining the target context vectors to obtain the target sequence; and outputting the target sequence. A weight vector is applied on a source context vector and a reference context vector, to obtain a target context vector. The source sequence and the target sequence are representations of natural language contents. The claimed process improves faithfulness of converting the source sequence to the target sequence.

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