Design of interactive intelligent assistant translation platform based on multi-strategies



At present, the intelligent translation of computer is developing rapidly. In this paper, the overall design of interactive intelligent auxiliary translation platform based on multi-strategy is studied. In this paper, the algorithm of similarity of sentences is deeply studied. According to the needs of English–Chinese translation memory system, the similarity between sentences is calculated from the sentence syntax and semantic based on syntactic and semantic English sentence similarity calculation method. Finally, the author uses the English–Chinese translation of Navigator 7.0 manual to examine the effect of the algorithm platform developed in this paper. The experimental results show that the proposed algorithm improves the speed of translation by about 35%.


Intelligent assistant translation Similarity algorithm WordNet 


  1. 1.
    Jung, M., Kim, D.Y., Kim, S.: Efficient remote software management method based on dynamic address translation for IoT software execution platform in wireless sensor network. Ind. J. Sci. Technol. 9(24), 159–162 (2016)Google Scholar
  2. 2.
    Uneke, C.J., Ndukwe, C.D., Ezeoha, A.A., et al.: Implementation of a health policy advisory committee as a knowledge translation platform: the Nigeria experience. Int. J. Health Pol. Manag. 4(3), 161–168 (2015)CrossRefGoogle Scholar
  3. 3.
    Changand, E.H., Pirollo, K., et al.: C-104 A tumor-targeting delivery platform for p53 therapy: translation and clinical applications. Jaids J. Acquir. Immune Defic. Syndr 71(19), 48 (2016)CrossRefGoogle Scholar
  4. 4.
    Shi, Z., Luo, G.: Application of WeChat teaching platform in interactive translation teaching. Int. J. Emerg. Technol. Learn. 11(9), 71 (2016)CrossRefGoogle Scholar
  5. 5.
    Berman, J., Mitambo, C., Matanjemwagomba, B., et al.: Building a knowledge translation platform in Malawi to support evidence-informed health policy. Health Res. Pol. Syst. 13(1), 73 (2015)CrossRefGoogle Scholar
  6. 6.
    Ren, X.Y.: An interview of cloud translation platform. Int. J. Model. Optim. 5(5), 332–336 (2015)CrossRefGoogle Scholar
  7. 7.
    Mohler, P.J., Fowler, L.A., Abraham, W.T., et al.: The Davis Heart and Lung Research Institute: building a sustainable platform for translation. Circ. Res. 9(39), 1068–1071 (2017)CrossRefGoogle Scholar
  8. 8.
    Xu, J., Liu, S.J., Yu, X.Z.: Bridging the translation gap and building the translation platform: translational medicine at Peking Union Medical College Hospital. Sci. China (Life Sci.) 59(10), 1–3 (2016)Google Scholar
  9. 9.
    Hämalainen, R.M.: Knowledge translation platform increasing use of research evidence in physical activity policy making-a case study in Finland. Glob. J. Health Sci. 9(9), 126 (2017)CrossRefGoogle Scholar
  10. 10.
    Aguirreburualde, M.S.P., Petruccelli, S., Almonacid, F.B., et al.: Plant-based vaccine for livestock: key points to unleash platform translation in developing countries. Curr. Mol. Biol. Rep. 2(7), 1–9 (2016)Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Qinghai UniversityQinghaiChina

Personalised recommendations