Case Study of Asian Language Services Using NMT

Home/Case Study of Asian Language Services Using NMT
We are monitoring the COVID-19 situation with concern for the well-being of all our LocWorld network. We plan to hold LocWorld42 Berlin and hope to see you there. Should your conference plans be impacted by travel restrictions, illness or health concerns, please rest assured that your registration fee will be fully refunded.
Case Study of Asian Language Services Using NMT
Track: TAUS | S2 |
Wednesday, April 4, 2018, 1:45pm – 2:30pm
Held in: S
Presenter:
Mihee Ji - E4NET
Host: Anne-Maj van der Meer

In this session we will share the experiences of a neural machine translation (NMT) engine developer and language service provider. We will introduce the characteristics and problems of data from the domain creation phase using NMT for Asian languages, and will discuss the importance of data quality and guidelines in post-editing by sharing problems that arise during the domain training process and post-editing.

Takeaways: The attendees will learn the advantages and disadvantages of NMT results in Asian languages.