Treating Unknown Light Verb Construction in Korean-to-English Patent MT

  • Munpyo Hong
  • Chang-Hyun Kim
  • Sang-Kyu Park
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4139)


This paper addresses the problem of the unknown light verb construction in Korean in the context of Korean-to-English patent machine translation. The light verb construction in Korean is composed of a light verb ‘ha’ and a predicative noun. The predicative nouns are generally sino-Korean words or loan words mostly from English in deverbal form. Previous researches on the light verb construction were mostly focused on the linguistic explanation about the thematic role assignment and the argument realization. In this paper, we will present a method for treating the LVC words that are not in the dictionary of Korean-to-English patent MT system. We introduce 4 types of unknown LVCs and present a method for generating the target word automatically. The evaluation of the automatically translated unknown words by professional translators showed 70.06% accuracy.


Target Word Heuristic Rule Argument Structure Patent Document Thematic Role 
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 2006

Authors and Affiliations

  • Munpyo Hong
    • 1
  • Chang-Hyun Kim
    • 1
  • Sang-Kyu Park
    • 1
  1. 1.ETRI, NLP TeamDaejeonKorea

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