| Papineni, K., Roukos, S., Ward, T.: Maximum Likelihood and Discriminative Training of Direct Translation Models, Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP-98), 1998. |
....in natural language processing and machine translation to a variety of tasks. 1] applies this approach to the so called IBM Candide system to build context dependent models, to compute automatic sentence splitting and to improve word reordering in translation. Similar techniques are used in [2] for so called direct translation models instead of those proposed in [3] 4] use ME models to reduce translation test perplexities and transla tion errors using a rescoring algorithm, which is applied to n best translation hypotheses. 5] describes two methods for incorporating information ....
Papineni, K., Roukos, S., Ward, R.: Maximum likelihood and discriminative training of direct translation models. In: Proc. Int. Conf. on Acoustics, Speech, and Signal Processing. (1998) 189-192
....as jupiter, it would be quite possible to spot keywords or phrases. As the language gets more complex however, it is not clear whether the simpler approach will always be e ective. Another area which has been explored to some extent is to incorporate automatic learning methods into understanding [47, 39, 45]. These methods require an annotated corpus however, which can be a time consuming task. There has been much research exploring how linguistic constraints can be incorporated into the search process. The simplest form of integration strategy is to decouple the two processes completely, whereby ....
K. Papineni, S. Roukos, and R. Ward, \Maximum Likelihood and Discriminative Training of Direct Translation Models," Proc. ICASSP, 189-192, 1998.
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Papineni, K., Roukos, S., Ward, T.: Maximum Likelihood and Discriminative Training of Direct Translation Models, Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP-98), 1998.
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Papineni, K., Roukos, S., & Ward, R. T. (1998). Maximum Likelihood and Discriminative Training of Direct Translation Models. Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP-98) (pp. 189--192).
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Papineni, K., Roukos, S., and Ward, T. 1998. Maximum likelihood and discriminative training of direct translation models. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP-98). 189--192.
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Papineni, K., Roukos, S., and Ward, T. Maximum Likelihood and Discriminative Training of Direct Translation Models. Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP-98), 189-192. Flanagan, M., 1994. Error Classification for MT Evaluation.
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Papineni, Kishore A., Salim Roukos, and R. T. Ward. (1998). Maximum likelihood and discriminative training of direct translation models. In Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, Seattle, vol 1, pp.
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K. A. Papineni, S. Roukos, and R. T. Ward. Maximum likelihood and discriminative training of direct translation models. In Proc. IEEE ICASSP, pages 189--192, 1998.
No context found.
K. Papineni, S. Roukos, and R. Ward, "Maximum Likelihood and Discriminative Training of Direct Translation Models," Proc. ICASSP, 189--192, 1998.
No context found.
Papineni, K., Roukos, S., Ward, T.: Maximum Likelihood and Discriminative Training of Direct Translation Models, Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP-98), 1998.
No context found.
K. Papineni, T. Ward, and S. Roukos. Maximum likelihood and discriminative training of direct translation models. In Proceedings of ICASSP-98, vol I, Seattle, pages 189--192, 1998.
No context found.
K. A. Papineni, S. Roukos, and R. T. Ward, "Maximum likelihood and discriminative training of direct translation models," in Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), (Seattle, Washington, USA), pp. 189--192, May 1998.
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