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NativeHelper: A Bilingual Sentence Search and Recommendation Engine for Academic Writing

  • Weijian Ni
  • Yujian Sun
  • Tong LiuEmail author
  • Qingtian Zeng
  • Nengfu Xie
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11642)

Abstract

This demo presents NativeHelper, a bilingual Chinese-English sentence search engine that aims to provide assistance for non-English academic writers. As opposed to most existing bilingual sentence search engines that rely heavily on parallel corpora, our system is built on monolingual sentence corpus and bilingual dictionaries which are more readily available. The system is implemented based on a large-scale English sentence database and a simple yet practically efficient bilingual language model. A screen cast is available at https://www.youtube.com/watch?v=oNYOYPDeTyM.

Keywords

Sentence retrieval Bilingual search engine Academic writing Bilingual language model 

Notes

Acknowledgement

This work is partially supported by Natural Science Foundation of China (61602278, 71704096 and 31671588).

References

  1. 1.
    Read, J., Dridan, R., Oepen, S., Solberg, L.J.: Sentence boundary detection: a long solved problem? In: Proceedings of CICLing, pp. 985–994 (2012)Google Scholar
  2. 2.
    Zhang, M., Liu, Y., et al.: Building earth mover’s distance on bilingual word embeddings for machine translation. In: Proceedings of the 30th AAAI (2016)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Weijian Ni
    • 1
  • Yujian Sun
    • 1
  • Tong Liu
    • 1
    Email author
  • Qingtian Zeng
    • 1
  • Nengfu Xie
    • 2
  1. 1.College of Computer Science and EngineeringShandong University of Science and TechnologyQingdaoChina
  2. 2.Agricultural Information InstituteChinese Academy of Agricultural SciencesBeijingChina

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