Applying cross-entropy difference for selecting parallel training data from publicly available sources for conversational machine translation

William Lewis, Christian Federmann, Ying Xin


Anthology ID:
2015.iwslt-papers.2
Volume:
Proceedings of the 12th International Workshop on Spoken Language Translation: Papers
Month:
December 3-4
Year:
2015
Address:
Da Nang, Vietnam
Editors:
Marcello Federico, Sebastian Stüker, Jan Niehues
Venue:
IWSLT
SIG:
SIGSLT
Publisher:
Note:
Pages:
126–134
Language:
URL:
https://aclanthology.org/2015.iwslt-papers.2
DOI:
Bibkey:
Cite (ACL):
William Lewis, Christian Federmann, and Ying Xin. 2015. Applying cross-entropy difference for selecting parallel training data from publicly available sources for conversational machine translation. In Proceedings of the 12th International Workshop on Spoken Language Translation: Papers, pages 126–134, Da Nang, Vietnam.
Cite (Informal):
Applying cross-entropy difference for selecting parallel training data from publicly available sources for conversational machine translation (Lewis et al., IWSLT 2015)
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PDF:
https://preview.aclanthology.org/ingest-acl-2023-videos/2015.iwslt-papers.2.pdf