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Fix numbers in README

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Filip Gralinski 2018-11-17 19:37:47 +01:00
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1 changed files with 22 additions and 22 deletions
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README.md
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@ -197,7 +197,7 @@ and run GEval for one of the submissions (UEdin-NMT):
-o wmt17-submitted-data/txt/system-outputs/newstest2017/de-en/newstest2017.uedin-nmt.4723.de-en \ -o wmt17-submitted-data/txt/system-outputs/newstest2017/de-en/newstest2017.uedin-nmt.4723.de-en \
-e wmt17-submitted-data/txt/references/newstest2017-deen-ref.en -e wmt17-submitted-data/txt/references/newstest2017-deen-ref.en
0.3430 0.3512
where `-i` stands for the input file, `-o` — output file, `-e` — file with expected (reference) data. where `-i` stands for the input file, `-o` — output file, `-e` — file with expected (reference) data.
@ -214,7 +214,7 @@ Let's evaluate another system:
-o wmt17-submitted-data/txt/system-outputs/newstest2017/de-en/newstest2017.LIUM-NMT.4733.de-en \ -o wmt17-submitted-data/txt/system-outputs/newstest2017/de-en/newstest2017.LIUM-NMT.4733.de-en \
-e wmt17-submitted-data/txt/references/newstest2017-deen-ref.en -e wmt17-submitted-data/txt/references/newstest2017-deen-ref.en
0.2939 0.3010
In general, LIUM is much worse than UEdin, but were there any utterance for which UEdin is worse than LIUM? In general, LIUM is much worse than UEdin, but were there any utterance for which UEdin is worse than LIUM?
You could use `--diff` option to find this: You could use `--diff` option to find this:
@ -227,16 +227,16 @@ You could use `--diff` option to find this:
The above command will print out the 10 sentences for which the difference between UEdin and LIUM is the largest: The above command will print out the 10 sentences for which the difference between UEdin and LIUM is the largest:
-0.5714285714285714 Hier eine Übersicht: Here is an overview: Here is an overview: Here's an overview: -0.5714285714285714 Hier eine Übersicht: Here is an overview: Here is an overview: Here's an overview:
-0.5714285714285714 Eine Generation protestiert. A generation is protesting. A generation is protesting. A generation protesting. -0.5714285714285714 Eine Generation protestiert. A generation is protesting. A generation is protesting. A generation protesting.
-0.5102564102564102 Bald stehen neue Container in der Wasenstraße New containers will soon be located in Wasenstraße New containers will soon be available on Wasenstraße Soon, new containers are in the water road -0.5333333333333333 "Die ersten 100.000 Euro sind frei." "The first 100,000 euros are free." "The first 100.000 euros are free." 'the first £100,000 is free. '
-0.5 "Die ersten 100.000 Euro sind frei." "The first 100,000 euros are free." "The first 100.000 euros are free." 'the first £100,000 is free. ' -0.5102564102564102 Bald stehen neue Container in der Wasenstraße New containers will soon be located in Wasenstraße New containers will soon be available on Wasenstraße Soon, new containers are in the water road
-0.4736842105263158 Als gefährdet gelten auch Arizona und Georgia. Arizona and Georgia are also at risk. Arizona and Georgia are also at risk. Arizona and Georgia are also considered to be at risk. -0.4736842105263158 Als gefährdet gelten auch Arizona und Georgia. Arizona and Georgia are also at risk. Arizona and Georgia are also at risk. Arizona and Georgia are also considered to be at risk.
-0.4444444444444445 Das ist alles andere als erholsam. This is anything but relaxing. That is anything but relaxing. This is far from relaxing. -0.4444444444444445 Das ist alles andere als erholsam. This is anything but relaxing. That is anything but relaxing. This is far from relaxing.
-0.4285714285714286 Ein Haus bietet Zuflucht. One house offers refuge. A house offers refuge. A house offers sanctuary. -0.4285714285714286 Ein Haus bietet Zuflucht. One house offers refuge. A house offers refuge. A house offers sanctuary.
-0.42307692307692313 Weshalb wir Simone, Gabby und Laurie brauchen Why we need Simone, Gabby and Laurie Why we need Simone, Gabby and Laurie Why We Need Simone, Gabby and Laurie -0.42307692307692313 Weshalb wir Simone, Gabby und Laurie brauchen Why we need Simone, Gabby and Laurie Why we need Simone, Gabby and Laurie Why We Need Simone, Gabby and Laurie
-0.4009009009009009 Die "Identitäre Bewegung" ist eine Gruppierung mit französischen Wurzeln, die seit 2012 auch in Deutschland aktiv ist. The "Identitäre Bewegung" is a group with French roots that has been active in Germany since 2012. The "identitarian movement" is a group with French roots that has been active in Germany since 2012. The "Identitarian Movement" is a grouping with French roots, which has also been active in Germany since 2012. -0.4004524886877827 Der Mann soll nicht direkt angesprochen werden. The man should not be approached. The man should not be addressed directly. The man is not expected to be addressed directly.
-0.4004524886877827 Der Mann soll nicht direkt angesprochen werden. The man should not be approached. The man should not be addressed directly. The man is not expected to be addressed directly. -0.3787878787878788 Aber es lässt sich ja nicht in Abrede stellen, dass die Attentäter von Ansbach und Würzburg Flüchtlinge waren. But it cannot be denied that the perpetrators of the attacks in Ansbach and Würzburg were refugees. But it cannot be denied that the perpetrators of Ansbach and Würzburg were refugees. But there is no denying that the bombers of Ansbach and Würzburg were refugees.
The columns goes as follows: The columns goes as follows:
@ -258,16 +258,16 @@ easy for UEdin:
--most-worsening-features wmt17-submitted-data/txt/system-outputs/newstest2017/de-en/newstest2017.LIUM-NMT.4733.de-en \ --most-worsening-features wmt17-submitted-data/txt/system-outputs/newstest2017/de-en/newstest2017.LIUM-NMT.4733.de-en \
-e wmt17-submitted-data/txt/references/newstest2017-deen-ref.en | head -n 10 -e wmt17-submitted-data/txt/references/newstest2017-deen-ref.en | head -n 10
exp:euros 31 -0.06888191 0.00000597009369023376 exp:euros 31 -0.06468724 0.00001097343184385749
in<1>:Euro 31 -0.05745546 0.00001601359624974303 in<1>:Euro 31 -0.05335673 0.00002829695624789508
exp:be 295 0.01980564 0.00039919436507962510 exp:be 296 0.02055637 0.00037328997500381740
exp:Federal 12 -0.05519148 0.00044208689767323860 exp:Federal 12 -0.05291327 0.00040500816936872160
exp:small 21 -0.02782365 0.00097178111718141370 exp:small 21 -0.02880722 0.00081606196875884380
exp:40 9 -0.05635973 0.00121990447157221800 exp:turnover 9 -0.09234316 0.00096449582346370200
in<1>:40 9 -0.05635973 0.00121990447157221800 out:$ 36 -0.01926724 0.00101954071759940870
out:interior 6 -0.07150121 0.00132944903870436640 out:interior 6 -0.07061411 0.00130090392961781970
exp:turnover 9 -0.09077533 0.00147928107739624940 exp:head 17 -0.03205283 0.00159684081554980080
exp:head 17 -0.03198173 0.00170431081987969600 exp:will 187 0.01737604 0.00168212689205692070
Hey, UEdin, you have a problem with euros… is it due to Brexit? Hey, UEdin, you have a problem with euros… is it due to Brexit?