Federmann, Christian, Okita, Tsuyoshi, Melero, Maite, Costa-Jussá, Marta, Badia, Toni and van Genabith, Josef 
ORCID: 0000-0003-1322-7944
(2012)
Results from the ML4HMT-12 shared task on applying machine learning techniques to optimise the division of labour in hybrid machine translation.
In: ML4HMT-12 Workshop, 9 Dec 2012, Mumbai, India.
Abstract
We describe the second edition of the ML4HMT shared task which challenges participants to create hybrid translations from the translation output of several individual MT systems. We provide an overview of the shared task and the data made available to participants before briefly describing the individual systems. We report on the results using automatic evaluation metrics and conclude with a summary of ML4HMT-12 and an outlook to future work.
Metadata
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Event Type: | Workshop |
| Refereed: | No |
| Uncontrolled Keywords: | Machine Translation; System Combination; Machine Learning |
| Subjects: | Computer Science > Machine translating |
| DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing |
| Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
| ID Code: | 17684 |
| Deposited On: | 20 Dec 2012 10:47 by Tsuyoshi Okita . Last Modified 19 Jan 2022 12:46 |
Documents
Full text available as:
Preview |
PDF
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
159kB |
Downloads
Downloads
Downloads per month over past year
Archive Staff Only: edit this record