Machine Translation Method Using Inductive Learning with Genetic Algorithms

@inproceedings{Echizenya1996MachineTM,
  title={Machine Translation Method Using Inductive Learning with Genetic Algorithms},
  author={Hiroshi Echizen-ya and Kenji Araki and Yoshio Momouchi and Koji Tochinai},
  booktitle={COLING},
  year={1996}
}
We have proposed a method of machine translation, which acquires translation rules from translation examples using inductive learning, and have evaluated the method. And we have confirmed that the method requires many translation examples. To resolve this problem, we applied genetic algorithms to the method. In this paper, we describe our method with genetic algorithms and evaluated it by some experiments. We confirmed that the accuracy rate of translation increased from 52.8% to 61.9% by… CONTINUE READING
Highly Cited
This paper has 17 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.
9 Citations
8 References
Similar Papers

Citations

Publications citing this paper.

References

Publications referenced by this paper.
Showing 1-8 of 8 references

Evaluation for Adaptability of Kana- Kanji Translation of Non-Segmented Japanese Kana Sentences using Inductive Learning

  • K Araki, Y Momouchi, K Tochinai
  • Proceedings of PACLING--LI
  • 1995
1 Excerpt

Concept Learning from Japanese Copular Sentences using Heuristics

  • K Araki, Y Momouchi
  • Proceedings of AI'94
  • 1994
1 Excerpt

New Horizon English Course 1

  • A Ota
  • Tokyo Shoseki
  • 1991

Similar Papers

Loading similar papers…