- Abstract:
- We present an extension of phrase-based statistical machine translation models that enables the straight-forward integration of additional annotation at the word-level - may it be linguistic markup or automatically generated word classes. In a number of experiments we show that factored translation models lead to better translation performance, both in terms of automatic scores, as well as more grammatical coherence.
- Links To Paper
- 1st link
- Bibtex format
- @InProceedings{EDI-INF-RR-1221,
- author = {
Philipp Koehn
and Hieu Hoang
},
- title = {Factored Translation Models},
- book title = {Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Processing and Computational Natural Language Learning},
- year = 2007,
- month = {Jun},
- pages = {868-876},
- url = {http://www.aclweb.org/anthology-new/D/D07/D07-1091.pdf},
- }
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