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Phrasal cohesion and statistical machine translation
Open accessAbstract
There has been much interest in using phrasal movement to improve statistical machine translation.We explore how well phrases cohere across two languages, specifically English and French, and examine the particular conditions under which they do not.We demonstrate that while there are cases where coherence is poor, there are many regularities which can be exploited by a statistical machine translation system.We also compare three variant syntactic representations to determine which one has the best properties with respect to cohesion.
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Building a Large Annotated Corpus of English: The Penn Treebank
Marcus, M. (1993) · doi:10.21236/ada273556 · Cited by 7,405
Cited by
Scalable inference and training of context-rich syntactic translation models
Galley, M., Graehl, J., Knight, K., Marcu, D., DeNeefe, S., Wang, W., & Thayer, I. (2006) · Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the ACL - ACL '06 · doi:10.3115/1220175.1220296 · Cited by 414
Dependency treelet translation: syntactically informed phrasal SMT
Quirk, C., Menezes, A., & Cherry, C. (2005) · Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics - ACL '05 · doi:10.3115/1219840.1219874 · Cited by 379
Bootstrapping parsers via syntactic projection across parallel texts
HWA, R., RESNIK, P., WEINBERG, A., CABEZAS, C., & KOLAK, O. (2005) · Natural Language Engineering · doi:10.1017/s1351324905003840 · Cited by 340
Metadata
- Authors
- Fox, H. J.
- Venue
- Proceedings of the ACL-02 conference on Empirical methods in natural language processing - EMNLP '02
- Published
- 2002
- Volume
- 10
- Pages
- 304-3111
- OpenAlex
- W2160382364
- Cited by
- 164
- References
- 1
- FWCI
- 6.80
- Type
- conference paper
- Language
- en
- Open access
- gold
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