Read, James C <jcread@...> writes: > So, all I did was filter out the less likely phrase pairs and the BLEU score shot up. Was that such a stroke of genius? Was that not blindingly obvious?
you are right. The idea is pretty obvious. It roughly corresponds to 'Histogram pruning' in this paper: Zens, R., Stanton, D., Xu, P. (2012). A Systematic Comparison of Phrase Table Pruning Technique. In Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pp. 972-983. The idea has been described in the literature before that (for instance, Johnson et al. (2007) only use the top 30 phrase pairs per source phrase), and may have been used in ps���ѥ�����ȁ�ٕ�������ȸ�%����ԁɕ���ѡ�������)���ٔ����ԁݥ��������ѡ�Ё���ѽ�Ʌ����չ�������́��Ё���ɽٔ��Ʌ�ͱ�ѥ��)�Յ���䁽�����хє����ѡ����ЁM5P����ѕ���������ə�ɵ́���ɱ䁍����ɕ��Ѽ)��ɔ���م�������չ����ѕ�����Օ̸
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