Intelligent translation technology of AIS ship name from Pinyin to Chinese

  • PAN Ming-yang ,
  • LI Qi ,
  • SHENG Zun-kuo ,
  • HAN Bin ,
  • LI Chao ,
  • LI Shao-xi
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  • (1. Navigation College, Dalian Maritime University, Dalian 116026, China;2.Elane Inc, Beijing 100089, China)

Received date: 2019-10-22

  Revised date: 2019-12-04

  Online published: 2019-12-04

Supported by

 

Abstract

In order to solve the problem that Automatic Identification System (AIS) can't make use of Chinese in the field of navigation,which has brought identification problems to Chinese users, this paper studies the intelligent translation technology from AIS Pinyin information to Chinese characters. Based on the establishment of standardized Chinese characters and Pinyin ship name corpus, deep learning models of intelligent ship names translation based on Seq2Seq and Transformer frameworks were built respectively. Through the performance comparison analysis on the same dataset, it is found that the Transformer model has better effects. In order to compensate for the translation loss caused by the limitation of the corpus size of the Transformer model, the combined translation model of the Transformer model and the Hidden Markov Chain (HMM) was further studied. Finally, the accuracy of the test set is 98.92%, and the accurate matching and reasonable translation of the AIS Pinyin ship names are realized. The model is also applicable to the translation of other Pinyin information into Chinese characters in AIS, such as destination port. It has application value for improving the experience of AIS information users.

Cite this article

PAN Ming-yang , LI Qi , SHENG Zun-kuo , HAN Bin , LI Chao , LI Shao-xi . Intelligent translation technology of AIS ship name from Pinyin to Chinese[J]. Journal of Dalian Maritime University, 2020 , 46(2) : 41 -48 . DOI: 10.16411/j.cnki.issn1006-7736.2020.02.006

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