Multilingual text generation method and device, equipment and storage medium
A multilingual and text-based technology, applied in neural learning methods, biological neural network models, natural language data processing, etc., can solve problems such as mixed multilingual texts, low proportion, and difficulty in obtaining multilingual texts
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no. 1 example
[0071] see figure 1 , which shows a schematic flow chart of the multilingual text generation method provided by the embodiment of the present application, the method may include:
[0072] Step S101: Obtain a multilingual word list.
[0073] Wherein, the multilingual word list includes a plurality of entries, and each entry includes a word and language information of the word. An example of a multilingual word list is shown below:
[0074] language word Chinese I English plan Chinese Hello English document … …
[0075] In the above table, is an entry, is an entry, is an entry, is an entry, and so on.
[0076] The multilingual word list in this embodiment may be a word list of two languages, such as a Chinese-English word list, or a word list of three or more languages, such as a Chinese-English-French word list. It should be noted that the words in the multilingual word list are words that often appear in other language t...
no. 2 example
[0089] The above-described embodiment mentions that the multilingual text can be generated on the basis of the multilingual word list. The information samples several entries from the multilingual word list to form the target word list, and generates multilingual text based on the target word list. The method of “generating multilingual text” is the same. This embodiment takes “generating multilingual text based on the target word list” as an example to introduce the process of generating multilingual text.
[0090] see figure 2 , showing a schematic flow chart of generating multilingual text based on the target word list, which may include:
[0091] Step S201: Determine the feature vector of each entry in the target word list and the feature vector of the target word list.
[0092] In this embodiment, the word embedding vector of each entry in the target word list can be determined (ie, the representation vector of each entry), and then according to the word embedding vect...
no. 3 example
[0116] The first embodiment mentions that the multilingual text generation based on the target vocabulary can be realized by a pre-established multilingual text generation model. On the basis of the second embodiment above, this embodiment focuses on the structure of the multilingual text generation model And the establishment process of the multilingual text generation model is introduced.
[0117] This embodiment first introduces the structure of the multilingual text generation model.
[0118] see Figure 4 , shows a possible structural diagram of the multilingual text generation model provided by this embodiment, which may include: an input encoding module 401 , a plan processing module 402 and a sentence generation module 403 . in:
[0119] The input of the input coding module 401 is the target word list, after the target word list input input coding module 401, the input coding module 401 encodes it, the feature vector of each entry in the output target word list, the ...
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