Beyond MT: Source Content Quality and Process Automation

Jenny Lu, Patricia Paladini Adell


Abstract
This document introduces the strategy implemented at CA Technologies to exploit Machine Translation (MT) at the corporate-wide level. We will introduce the different approaches followed to further improve the quality of the output of the machine translation engine once the engines have reached a maximum level of customization. Senior team support, clear communication between the parties involved and improvement measurement are the key components for the success of the initiative.
Anthology ID:
2012.amta-commercial.10
Volume:
Proceedings of the 10th Conference of the Association for Machine Translation in the Americas: Commercial MT User Program
Month:
October 28-November 1
Year:
2012
Address:
San Diego, California, USA
Venue:
AMTA
SIG:
Publisher:
Association for Machine Translation in the Americas
Note:
Pages:
Language:
URL:
https://aclanthology.org/2012.amta-commercial.10
DOI:
Bibkey:
Cite (ACL):
Jenny Lu and Patricia Paladini Adell. 2012. Beyond MT: Source Content Quality and Process Automation. In Proceedings of the 10th Conference of the Association for Machine Translation in the Americas: Commercial MT User Program, San Diego, California, USA. Association for Machine Translation in the Americas.
Cite (Informal):
Beyond MT: Source Content Quality and Process Automation (Lu & Paladini Adell, AMTA 2012)
Copy Citation:
PDF:
https://preview.aclanthology.org/paclic-22-ingestion/2012.amta-commercial.10.pdf