A multimedia network independent learning aided translation system

  • Yuanyuan XieEmail author


With the continuous development of China’s economy and foreign exchanges, the self-learning and translation-assisted Chinese cultural translation market has expanded rapidly. The use of video and other tools has become more and more popular among users. All kinds of videos and other independent learning translations assist Chinese cultural translation technology. And methods are endless. However, the current corpus relied on a large number of translation software based on video autonomous learning translation to assist Chinese cultural translation is artificially constructed. The corpus is limited and slow to update. With the development of the Internet, if you can combine translation technology with video information search technology, you can provide users with comprehensive, real-time and dynamic translation services. This paper studies the translation of online search engine, automatic accumulation of bilingual corpus, machine translation, using sentence matching warehousing algorithm, data mining, meta search and result fusion and sorting algorithm, etc. The intelligent bilingual search method and search engine can provide automatic bilingual web resources for professionals, and provide high-quality auxiliary translation for userswhich have good market value and social benefits.


Video Internet Auxiliary translation Independent learning 



A Study on College English Teaching & the Translation Ability Improvement in Chinese Culture, 2016jyxm0324.

A Study on College English Teaching & the Translation Ability Improvement in Chinese Culture, [2016]42-129.

A Study on the Translation & Dissemination of Chinese ecological Literature in America, 2018zs04zd.

2018 projects funded by the state fund for study abroad, [2018(3103)].


  1. 1.
    Alvarez K, Leeuwen EV, Montenegro-Montenegro E et al (2018) Empowering the poor: a field study of the social psychological consequences of receiving autonomy or dependency aid in Panama[J]. Br J Soc Psychol 57(2):327–345CrossRefGoogle Scholar
  2. 2.
    Ashraf N, Ahmad M (2015) Machine translation techniques and their comparative study[J]. Int J Comput Appl 125(7):25–31Google Scholar
  3. 3.
    Brisset A (2015) Cultural perspectives on translation[J]. Int Soc Sci J 61(199):69–81CrossRefGoogle Scholar
  4. 4.
    Chester SA, Leo CVD, Anand L (2015) A finite element implementation of a coupled diffusion-deformation theory for elastomeric gels[J]. Int J Solids Struct 52:1–18CrossRefGoogle Scholar
  5. 5.
    Dinc M, Hajiyev C (2015) Integration of navigation systems for autonomous underwater vehicles[J]. Journal of Marine Engineering & Technology 14(1):32–43CrossRefGoogle Scholar
  6. 6.
    Gilbert H, Qin L, Li D et al (2016) Aiding the diagnosis of AD/HD in childhood: using actigraphy and a continuous performance test to objectively quantify symptoms[J]. Res Dev Disabil 59:35–42CrossRefGoogle Scholar
  7. 7.
    Haberl MG, Silva SVD, Guest JM et al (2015) An anterograde rabies virus vector for high-resolution large-scale reconstruction of 3D neuron morphology[J]. Brain Struct Funct 220(3):1369–1379CrossRefGoogle Scholar
  8. 8.
    Hoffmann C, Cemgil C (2016) The (un)making of the Pax Turca in the Middle East: understanding the social-historical roots of foreign policy[J]. Camb Rev Int Aff 29:1–24CrossRefGoogle Scholar
  9. 9.
    Indelman V, Gurfil P, Rivlin E et al (2015) Navigation aiding based on coupled online mosaicking and camera scanning[J]. J Guid Control Dyn 33(33):1866–1882Google Scholar
  10. 10.
    Jackson MPA, Talbot CJ (2015) External shapes, strain rates, and dynamics of salt structures[J]. Geol Soc Am Bull 97(3):305–323CrossRefGoogle Scholar
  11. 11.
    Kealy A, Retscher G, Toth C et al (2015) Collaborative navigation as a solution for PNT applications in GNSS challenged environments - report on field trials of a joint FIG/IAG working group[J]. Journal of Applied Geodesy 9(4):244–263CrossRefGoogle Scholar
  12. 12.
    Klein I, Diamant R (2018) Observability analysis of heading aided INS for a maneuvering AUV[J]. Navigation 65(1):73–82CrossRefGoogle Scholar
  13. 13.
    Marques M, Banha F, Águas M et al (2015) Environmental cues during overland dispersal by three freshwater invaders: Eriocheir sinensis, Pacifastacus leniusculus, and Procambarus clarkii (Crustacea, Decapoda)[J]. Hydrobiologia 742(1):81–93CrossRefGoogle Scholar
  14. 14.
    Owczarzak Ł, Żak J (2015) Design of passenger public transportation solutions based on autonomous vehicles and their multiple criteria comparison with traditional forms of passenger transportation ☆[J]. Transportation Research Procedia 10:472–482CrossRefGoogle Scholar
  15. 15.
    Pereira A, Nunes N, Vieira D et al (2015) Blind guide: an ultrasound sensor-based body area network for guiding blind people ☆[J]. Procedia Computer Science 67:403–408CrossRefGoogle Scholar
  16. 16.
    Ramaswamy M, Thangavel P, Panneer Selvam N (2015) Glutamic oxaloacetic transaminase (GOT) and glutamic pyruvic transaminase (GPT) enzyme activities in different tissues of Sarotherodon mossambicus (Peters) exposed to a carbamate pesticide, carbaryl[J]. Pest Manag Sci 55(12):1217–1221CrossRefGoogle Scholar
  17. 17.
    Randeni P. SAT, Forrest AL, Cossu R et al (2018) Parameter identification of a nonlinear model: replicating the motion response of an autonomous underwater vehicle for dynamic environments[J]. Nonlinear Dynamics 91(2):1229–1247CrossRefGoogle Scholar
  18. 18.
    Randeni P, Supun AT, Forrest AL, Cossu R et al (2016) Autonomous underwater vehicle motion response: a nonacoustic tool for blue water navigation[J]. Mar Technol Soc J 50(2):17–26CrossRefGoogle Scholar
  19. 19.
    Reinert H, Benjaminsen TA (2015) Conceptualising resilience in Norwegian Sámi reindeer pastoralism[J]. Resilience 3(2):95–112CrossRefGoogle Scholar
  20. 20.
    Sazdovski V, Kitanov A, Petrovic I (2015) Implicit observation model for vision aided inertial navigation of aerial vehicles using single camera vector observations[J]. Aerosp Sci Technol 40:33–46CrossRefGoogle Scholar
  21. 21.
    Simanek J, Kubelka V, Reinstein M (2015) Improving multi-modal data fusion by anomaly detection[J]. Auton Robot 39(2):139–154CrossRefGoogle Scholar
  22. 22.
    Sjanic Z, Gustafsson F (2015) Navigation and SAR focusing with map aiding[J]. IEEE Trans Aerosp Electron Syst 51(3):1652–1663CrossRefGoogle Scholar
  23. 23.
    Song W (2015) Seeking new allies in Africa: China’s policy towards Africa during the cold war as reflected in the construction of the Tanzania–Zambia railway[J]. Journal of Modern Chinese History 9(1):46–65CrossRefGoogle Scholar
  24. 24.
    Spash CL, Aslaksen I (2015) Re-establishing an ecological discourse in the policy debate over how to value ecosystems and biodiversity[J]. J Environ Manag 159:245–253CrossRefGoogle Scholar
  25. 25.
    Sun X, Chen P, Macabiau C et al (2016) Low-earth orbit determination from gravity gradient measurements[J]. Acta Astronautica 123:350–362CrossRefGoogle Scholar
  26. 26.
    Yang L, Mu Y, Quaglia LA et al (2015) Effectiveness of myocardial contrast echocardiography quantitative analysis during adenosine stress versus visual analysis before percutaneous therapy in acute coronary pain: a coronary artery TIMI grading comparing study[J]. J Biomed Biotechnol 2012(4):806731–806745Google Scholar
  27. 27.
    Zhou F, Zheng W, Wang ZF (2015) Adaptive noise identification in vision-assisted motion estimation for unmanned aerial vehicles[J]. Int J Autom Comput 12(4):413–420CrossRefGoogle Scholar

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© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.School of Foreign LanguagesAnhui Agricultural UniversityHefeiChina

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