Conference item
A Discriminative Latent Variable Model for Statistical Machine Translation.
- Abstract:
-
Large-scale discriminative machine translation promises to further the state-of-the-art, but has failed to deliver convincing gains over current heuristic frequency count systems.We argue that a principle reason for this failure is not dealing with multiple, equivalent translations. We present a translation model which models derivations as a latent variable, in both training and decoding, and is fully discriminative and globally optimised. Results show that accounting for multiple derivation...
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Authors
Contributors
+ McKeown, K
Role:
Editor
+ Moore, J
Role:
Editor
+ Teufel, S
Role:
Editor
+ Allan, J
Role:
Editor
+ Furui, S
Role:
Editor
Bibliographic Details
- Publisher:
- Association for Computer Linguistics Publisher's website
- Pages:
- 200-208
- Host title:
- ACL
- Publication date:
- 2008-01-01
- Source identifiers:
-
328115
- ISBN:
- 9781932432046
Item Description
- Pubs id:
-
pubs:328115
- UUID:
-
uuid:4a44c3a3-e958-4625-8f6f-d49e6b2c4d82
- Local pid:
- pubs:328115
- Deposit date:
- 2012-12-19
Terms of use
- Copyright date:
- 2008
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