Abstract
Over the last 4 years, Infor has been implementing machine translation (MT) in its translation process. In this paper, the results of both statistical and neural MT projects are provide to give an insight in the advantages and disadvantages of MT use in a large company. We also offer a look into the future of MT within our company and to strengthen the implementation of MT in our translation process.- Anthology ID:
- 2018.eamt-main.34
- Volume:
- Proceedings of the 21st Annual Conference of the European Association for Machine Translation
- Month:
- May
- Year:
- 2018
- Address:
- Alicante, Spain
- Editors:
- Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez, Miquel Esplà-Gomis, Maja Popović, Celia Rico, André Martins, Joachim Van den Bogaert, Mikel L. Forcada
- Venue:
- EAMT
- SIG:
- Publisher:
- Note:
- Pages:
- 335–341
- Language:
- URL:
- https://preview.aclanthology.org/build-pipeline-with-new-library/2018.eamt-main.34/
- DOI:
- Cite (ACL):
- Nander Speerstra. 2018. A Comparison of Statistical and Neural MT in a Multi-Product and Multilingual Software Company - User Study. In Proceedings of the 21st Annual Conference of the European Association for Machine Translation, pages 335–341, Alicante, Spain.
- Cite (Informal):
- A Comparison of Statistical and Neural MT in a Multi-Product and Multilingual Software Company - User Study (Speerstra, EAMT 2018)
- PDF:
- https://preview.aclanthology.org/build-pipeline-with-new-library/2018.eamt-main.34.pdf