A Practical of Memory-based Approach for Improving Accuracy of MT

Sitthaa Phaholphinyo, Teerapong Modhiran, Nattapol Kritsuthikul, Thepchai Supnithi


Abstract
Rule-Based Machine Translation (RBMT) [1] approach is a major approach in MT research. It needs linguistic knowledge to create appropriate rules of translation. However, we cannot completely add all linguistic rules to the system because adding new rules may cause a conflict with the old ones. So, we propose a memory based approach to improve the translation quality without modifying the existing linguistic rules. This paper analyses the translation problems and shows how this approach works.
Anthology ID:
2005.mtsummit-papers.6
Volume:
Proceedings of Machine Translation Summit X: Papers
Month:
September 13-15
Year:
2005
Address:
Phuket, Thailand
Venue:
MTSummit
SIG:
Publisher:
Note:
Pages:
41–46
Language:
URL:
https://aclanthology.org/2005.mtsummit-papers.6
DOI:
Bibkey:
Cite (ACL):
Sitthaa Phaholphinyo, Teerapong Modhiran, Nattapol Kritsuthikul, and Thepchai Supnithi. 2005. A Practical of Memory-based Approach for Improving Accuracy of MT. In Proceedings of Machine Translation Summit X: Papers, pages 41–46, Phuket, Thailand.
Cite (Informal):
A Practical of Memory-based Approach for Improving Accuracy of MT (Phaholphinyo et al., MTSummit 2005)
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PDF:
https://aclanthology.org/2005.mtsummit-papers.6.pdf