Natural Language Database Access Using Semi-automatically Constructed Translation Knowledge

  • In-Su Kang
  • Jae-Hak J. Bae
  • Jong-Hyeok Lee
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3248)


In most natural language database interfaces (NLDBI), translation knowledge acquisition heavily depends on human specialties, consequently undermining domain portability. This paper attempts to semi-automatically construct translation knowledge by introducing a physical Entity-Relationship schema, and by simplifying translation knowledge structures. Based on this semi-automatically produced translation knowledge, a noun translation method is proposed in order to resolve NLDBI translation ambiguities.


Translation Knowledge Domain Class Class Term Case Marker User Question 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • In-Su Kang
    • 1
  • Jae-Hak J. Bae
    • 2
  • Jong-Hyeok Lee
    • 1
  1. 1.Div. of Electrical and Computer EngineeringPOSTECH and AITrcPohangRepublic of Korea
  2. 2.School of Computer Engineering and Information TechnologyUniversity of UlsanRepublic of Korea

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