Cross-language knowledge graph-oriented Chinese-Thai entity alignment method
A knowledge graph and cross-language technology, which is applied in cross-language knowledge graphs and Chinese-Thai entity alignment for cross-language knowledge graphs, can solve the problems of low alignment accuracy and low alignment degree of non-famous entities, and reduce the difficulty of construction , improve the quality of alignment, and overcome the effect of low translation accuracy
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[0034] This example takes the Chinese-Thai bilingual dataset as an example, uses Python as the development language, and uses Pycharm software as the development environment.
[0035] refer to image 3 , a Chinese-Thai entity alignment method for cross-language knowledge graphs, including the following steps:
[0036] 1) Acquisition of bilingual datasets: Obtain Chinese-Thai bilingual alignment data from Wikidata, YAGO multilingual knowledge base or major Chinese-Thai bilingual websites. The datasets are all aligned Chinese-Thai bilingual sentences, and entities in Chinese sentences can be found in Find its relatively aligned entity in the Thai sentence, as shown in Table a, for example, the Chinese entity in the 1-A sentence in Chinese can find the aligned Thai entity in the 1-B sentence in Thai;
[0037] Table a Chinese-Thai alignment sentence data example
[0038]
[0039] 2) Construction and training of the machine translation model: construct the Transformer translat...
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