Huawei Technologies Co., Limited

China Nuclear Power Engineering Company Ltd.

China General Nuclear Power Group

Cgn Power Co., Ltd.

China Nuclear Power Design Company Ltd. (shenzhen)

Xiaohua Liu

Wei Zhang

Hang Li

Zhaopeng Tu

Zhengdong Lu

Lifeng Shang

Honghu Xie

Yihan Zhang

Wenqin Ma

Shilei Li

Junwei Qin

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, wherein the weight of one or more elements in the source context vector associated with notional words or weight of a function word in the target context vector is increased. 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.

Sequence conversion method and apparatus in natural language processing based on adjusting a weight associated with each word

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 translation probability adjustment

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Shenzhen, China

Xiaohua Liu