Multi-corpus mixed attention-assisted machine translation algorithm and system
The invention discloses a multi-corpus mixed attention-assisted machine translation algorithm, which comprises the following steps of: collecting three types of parallel corpora of different sources of English and Chinese contrasts, and mixing the parallel corpora into training corpora according to...
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| creator | ZENG BIAO ZHANG HAOCHUN AN SHENGQIANG ZOU ANCHAO |
| description | The invention discloses a multi-corpus mixed attention-assisted machine translation algorithm, which comprises the following steps of: collecting three types of parallel corpora of different sources of English and Chinese contrasts, and mixing the parallel corpora into training corpora according to a ratio of 1: 1: 1; the neural network model is used for training a transformers neural network model based on the seq2seq architecture; inputting a to-be-translated English sentence into a manually collected professional word-English contrast word list of each field to search professional words and corresponding Chinese translations; inputting English sentences into the trained neural network model, translating word by word, selecting a result with the highest probability as a translation result, gradually calculating an attention matrix of professional words, calculating an attention value, and when the attention value exceeds a certain threshold value, executing the step-by-step translation; if the probability o |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | Multi-corpus mixed attention-assisted machine translation algorithm and system |
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