The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Improved statistical machine translation using paraphrases
Open accessAbstract
Parallel corpora are crucial for training SMT systems. However, for many language pairs they are available only in very limited quantities. For these language pairs a huge portion of phrases encountered at run-time will be unknown. We show how techniques from paraphrasing can be used to deal with these otherwise unknown source language phrases. Our results show that augmenting a state-of-the-art SMT system with paraphrases leads to significantly improved coverage and translation quality. For a training corpus with 10,000 sentence pairs we increase the coverage of unique test set unigrams from 48% to 90%, with more than half of the newly covered items accurately translated, as opposed to none in current approaches.
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BLEU: a method for automatic evaluation of machine translation
Papineni, K., Roukos, S., Ward, T., & Zhu, W.-J. (2001) · Proceedings of the 40th Annual Meeting on Association for Computational Linguistics - ACL '02 · doi:10.3115/1073083.1073135 · Cited by 21,344
The mathematics of statistical machine translation: parameter estimation
Brown, P. F., Pietra, V. J. D., Pietra, S. A. D., & Mercer, R. L. (1993) · Cited by 3,973
Statistical phrase-based translation
Koehn, P., Och, F. J., & Marcu, D. (2003) · Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - NAACL '03 · doi:10.3115/1073445.1073462 · Cited by 3,197
Self-citation(2005) · Cited by 3,125
Minimum error rate training in statistical machine translation
Och, F. J. (2003) · Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - ACL '03 · doi:10.3115/1075096.1075117 · Cited by 2,725
Discriminative training and maximum entropy models for statistical machine translation
Och, F. J., & Ney, H. (2001) · Proceedings of the 40th Annual Meeting on Association for Computational Linguistics - ACL '02 · doi:10.3115/1073083.1073133 · Cited by 1,034
Statistical Phrase-Based Translation
Koehn, P., Och, F. J., & Marcu, D. (2003) · doi:10.21236/ada461156 · Cited by 965
Self-citationThe Alignment Template Approach to Statistical Machine Translation
Och, F. J., & Ney, H. (2004) · Computational Linguistics · doi:10.1162/0891201042544884 · Cited by 918
Re-evaluating the Role of Bleu in Machine Translation Research
Callison-Burch, C., Osborne, M., & Koehn, P. (2006) · Edinburgh Research Explorer (University of Edinburgh) · Cited by 632
Self-citationPharaoh: A Beam Search Decoder for Phrase-Based Statistical Machine Translation Models
Koehn, P. (2004) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-30194-3_13 · Cited by 628
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Cited by
A Survey of Paraphrasing and Textual Entailment Methods
Androutsopoulos, I., & Malakasiotis, P. (2010) · Journal of Artificial Intelligence Research · doi:10.1613/jair.2985 · Cited by 178
Developing a corpus-based paraphrase tool to improve EFL learners' writing skills
Chen, M.-H., Huang, S.-T., Chang, J. S., & Liou, H.-C. (2015) · Computer Assisted Language Learning · doi:10.1080/09588221.2013.783873 · Cited by 72
Metadata
- Authors
- Callison-Burch, C., Koehn, P., & Osborne, M.
- Venue
- Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics -
- Published
- 2006
- Pages
- 17-24
- OpenAlex
- W2145685230
- Cited by
- 288
- References
- 18
- FWCI
- 12.49
- Type
- conference paper
- Language
- en
- Open access
- gold
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