Thank you for reading very careful the draft paper I provided a link to and 
noticing that the Johnson paper is duly cited there. Given that you had already 
noticed this I shall not proceed to explain the blinding obvious differences 
between my very simple filter and their filter based on Fisher's exact test.

Other than that it seems painfully clear that the point I meant to make has not 
been understood entirely. If the default behaviour produces BLEU scores 
considerably lower than merely selecting the most likely translation of each 
phrase then evidently there is something very wrong with the default behaviour. 
If we cannot agree on something as obvious as that then I really can't see this 
discussion making any productive progress.

James

________________________________________
From: moses-support-boun...@mit.edu <moses-support-boun...@mit.edu> on behalf 
of Rico Sennrich <rico.sennr...@gmx.ch>
Sent: Friday, June 19, 2015 8:25 PM
To: moses-support@mit.edu
Subject: Re: [Moses-support] Major bug found in Moses

[sorry for the garbled message before]

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 practice for even longer. If you read
the paper above, you will find that histogram pruning does not improve
translation quality on a state-of-the-art SMT system, and performs
poorly compared to more advanced pruning techniques.

On 19.06.2015 17:49, Read, James C. wrote:
> 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?
>
>

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