Can Machine Learning Algorithms Improve Phrase Selection in Hybrid Machine Translation?

Christian Federmann


Anthology ID:
W12-0115
Volume:
Proceedings of the Joint Workshop on Exploiting Synergies between Information Retrieval and Machine Translation (ESIRMT) and Hybrid Approaches to Machine Translation (HyTra)
Month:
April
Year:
2012
Address:
Avignon, France
Venue:
HyTra
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
113–118
Language:
URL:
https://aclanthology.org/W12-0115
DOI:
Bibkey:
Cite (ACL):
Christian Federmann. 2012. Can Machine Learning Algorithms Improve Phrase Selection in Hybrid Machine Translation?. In Proceedings of the Joint Workshop on Exploiting Synergies between Information Retrieval and Machine Translation (ESIRMT) and Hybrid Approaches to Machine Translation (HyTra), pages 113–118, Avignon, France. Association for Computational Linguistics.
Cite (Informal):
Can Machine Learning Algorithms Improve Phrase Selection in Hybrid Machine Translation? (Federmann, HyTra 2012)
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PDF:
https://preview.aclanthology.org/ingestion-script-update/W12-0115.pdf