Chinese-cranial nerve machine translation method fusing syntactic analytic trees
A machine translation and syntax technology, applied in neural architecture, biological neural network models, instruments, etc., can solve the problems of poor performance of Chinese-Vietnamese neural machine translation models and insufficient corpus, and achieve high robustness and generalization ability , improved fluency and accuracy, and the effect of accurate translation
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[0032] Embodiment 1: as Figure 1-4 As shown, the Chinese-Vietnamese neural machine translation method of merging the syntax parsing tree, the specific steps of the method are as follows:
[0033] Model building process:
[0034] Step1. From the 146K parallel sentence pairs collected through Internet crawling and manual translation, 144K parallel corpora were randomly selected as training sets and development sets to train the translation model, and 2K parallel corpora were used as test sets to evaluate the experimental results;
[0035] Step2. Preprocessing of training corpus: First, use the Chinese word segmentation tool to segment Chinese words, then perform tokenization, lowercase, and clean on all training data, and finally retain sentence pairs with a length of less than 80 words;
[0036] Step3. Use Stanford's Chinese syntax analysis model (ChinesePCFG) to analyze Chinese syntax, and obtain a Chinese syntax analysis tree, such as figure 2 shown. Use the Vietnamese p...
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