Fix GT MWC counter and re-evaluate grammars with MWC > 1

[akolonin]

1. Fix the bug skipping unparsed words in test parses
2. Re-evaluate all parses in MWC-Study tab and update the links and numbers in the sheet
   (keep updating progress for lines on this issue on daily basis)

[alexei-gl]

PR #241 has fixed the issue. PA and PQ results with MWC > 1 were affected on some corpora. The old results obtained parsing GC Gold corpus are:

Corpus	PA/MWC1	PA/MWC2	PA/MWC3	PA/MWC4	PA/MWC5	F1/MWC1	F1/MWC2	F1/MWC3	F1/MWC4	F1/MWC5
abs	 87.53%	100.00%	  0.00%	  0.00%	  0.00%	0.5759	0.8542	0.0000	0.0000	0.0000
any	 86.30%	100.00%	  0.00%	  0.00%	  0.00%	0.5742	0.8889	0.0000	0.0000	0.0000
lge	 80.84%	100.00%	  0.00%	  0.00%	  0.00%	0.7771	0.9432	0.0000	0.0000	0.0000
rnd	 88.44%	100.00%	  0.00%	  0.00%	  0.00%	0.5582	0.7295	0.0000	0.0000	0.0000
seq	 85.01%	100.00%	  0.00%	  0.00%	  0.00%	0.6060	0.8542	0.0000	0.0000	0.0000
w10	 85.75%	100.00%	  0.00%	  0.00%	  0.00%	0.5213	0.6222	0.0000	0.0000	0.0000
w6r	 85.89%	100.00%	  0.00%	  0.00%	  0.00%	0.5597	0.8056	0.0000	0.0000	0.0000

while the new results are:

Corpus	PA/MWC1	PA/MWC2	PA/MWC3	PA/MWC4	PA/MWC5	F1/MWC1	F1/MWC2	F1/MWC3	F1/MWC4	F1/MWC5
abs	 87.53%	100.00%	  0.00%	  0.00%	  0.00%	0.5759	0.8542	0.0000	0.0000	0.0000
any	 86.30%	 96.43%	  0.00%	  0.00%	  0.00%	0.5742	0.8497	0.0000	0.0000	0.0000
lge	 80.84%	100.00%	  0.00%	  0.00%	  0.00%	0.7771	0.9432	0.0000	0.0000	0.0000
rnd	 88.44%	 93.75%	  0.00%	  0.00%	  0.00%	0.5582	0.6474	0.0000	0.0000	0.0000
seq	 85.01%	100.00%	  0.00%	  0.00%	  0.00%	0.6060	0.8542	0.0000	0.0000	0.0000
w10	 85.75%	 88.10%	  0.00%	  0.00%	  0.00%	0.5213	0.6231	0.0000	0.0000	0.0000
w6r	 85.89%	 96.43%	  0.00%	  0.00%	  0.00%	0.5597	0.7871	0.0000	0.0000	0.0000

[alexei-gl]

Previous data for GC Silver corpus:

Corpus	PA/MWC1	PA/MWC2	PA/MWC3	PA/MWC4	PA/MWC5	F1/MWC1	F1/MWC2	F1/MWC3	F1/MWC4	F1/MWC5
abs	 85.35%	100.00%	100.00%	100.00%	100.00%	0.5183	0.6078	0.6112	0.6135	0.6164
any	 82.34%	100.00%	100.00%	100.00%	100.00%	0.4879	0.5914	0.6002	0.6049	0.6092
lge	 75.22%	100.00%	100.00%	100.00%	100.00%	0.7099	0.9421	0.9423	0.9409	0.9416
rnd	 85.92%	100.00%	100.00%	100.00%	100.00%	0.4958	0.5828	0.5861	0.5873	0.5901
seq	 82.97%	100.00%	100.00%	100.00%	100.00%	0.5535	0.6657	0.6689	0.6707	0.6726
w10	 80.47%	100.00%	100.00%	100.00%	100.00%	0.4285	0.5258	0.5375	0.5435	0.5500
w6r	 82.50%	100.00%	100.00%	100.00%	100.00%	0.4908	0.5989	0.6075	0.6122	0.6179

[alexei-gl]

New data for GC Silver corpus:

Corpus  PA/MWC1 PA/MWC2 PA/MWC3 PA/MWC4 PA/MWC5 F1/MWC1 F1/MWC2 F1/MWC3 F1/MWC4 F1/MWC5
abs      85.35%  94.30%  94.81%  95.34%  95.41% 0.5183  0.5719  0.5779  0.5829  0.5866
any      82.34%  93.02%  93.57%  94.26%  94.18% 0.4879  0.5516  0.5623  0.5706  0.5739
lge      75.22%  88.33%  88.97%  89.83%  89.78% 0.7099  0.8376  0.8434  0.8512  0.8516
rnd      85.92%  93.67%  94.19%  94.64%  94.63% 0.4958  0.5412  0.5480  0.5524  0.5547
seq      82.97%  93.71%  94.40%  95.06%  95.16% 0.5535  0.6227  0.6302  0.6362  0.6385
w10      80.47%  91.66%  92.38%  92.86%  93.06% 0.4285  0.4872  0.5010  0.5093  0.5160
w6r      82.50%  93.33%  93.61%  94.44%  94.39% 0.4908  0.5588  0.5687  0.5776  0.5827

[alexei-gl]

Old data for GC FULL corpus:

Corpus PA/MWC1  PA/MWC2  F1/MWC1  F1/MWC2
abs      84.15%  100.00%  0.4566  0.5585
any      80.17%  100.00%  0.4236  0.5438
lge      52.60%  100.00%  0.4939  0.9538
rnd      84.71%  100.00%  0.4361  0.5343
seq      80.24%  100.00%  0.4839  0.6148
w10      77.15%  100.00%  0.3699  0.4811
w6r      79.72%  100.00%  0.4264  0.5492

[alexei-gl]

New data for GC FULL corpus:

Corpus  PA/MWC1 PA/MWC2 F1/MWC1 F1/MWC2
abs      84.15% 90.02%  0.4566  0.4912
any      80.17% 86.07%  0.4236  0.4593
lge      52.60% 59.43%  0.4939  0.5613
rnd      84.71% 89.67%  0.4361  0.4645
seq      80.24% 87.39%  0.4839  0.5251
w10      77.15% 84.73%  0.3699  0.4085
w6r      79.72% 86.54%  0.4264  0.4672

[alexei-gl]

Wrong MWC estimation, where square brackets left intact, heavily reduced corpora leaving only fully parsed sentences. That led to different number of sentences being processed with different grammars and anomaly high PA and F1 values. Fixed code processes the same number of sentences with different grammars with the same MWC settings. The values fall a bit lower because the number of sentences being processed raised and corpora now has sentences with unparsed words too.