Transfer in experience-guided machine translation

Gang Zhao, Junichi Tsujii


Abstract
Experience-Guided Machine Translation (EGMT) seeks to represent the translators' knowledge of translation as experiences and translates by analogy. The transfer in EGMT finds the experiences most similar to a new text and its parts, segments it into units of translation and translates them by analogy to the experiences and then assembles them into a whole. A research prototype of analogical transfer from Chinese to English is built to prove the viability of the approach in the exploration of new architecture of machine translation. The paper discusses how the experiences are represented and selected with respect to a new text. It describes how units of translation are defined, partial translation is derived and composed into a whole.
Anthology ID:
1999.mtsummit-1.74
Volume:
Proceedings of Machine Translation Summit VII
Month:
September 13-17
Year:
1999
Address:
Singapore, Singapore
Venue:
MTSummit
SIG:
Publisher:
Note:
Pages:
501–508
Language:
URL:
https://aclanthology.org/1999.mtsummit-1.74
DOI:
Bibkey:
Cite (ACL):
Gang Zhao and Junichi Tsujii. 1999. Transfer in experience-guided machine translation. In Proceedings of Machine Translation Summit VII, pages 501–508, Singapore, Singapore.
Cite (Informal):
Transfer in experience-guided machine translation (Zhao & Tsujii, MTSummit 1999)
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PDF:
https://preview.aclanthology.org/update-css-js/1999.mtsummit-1.74.pdf