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Both sides previous revision Previous revision 2012/12/15 13:15 zeman 2012/10/02 21:10 zeman Zarovnání textu v tabulce.2012/10/02 16:45 zeman HPST 2012 sample.2012/10/02 16:38 zeman HPST 2012 sample.2012/10/02 16:33 zeman HPST 2012 sample.2012/10/02 16:25 zeman HPST 2012 sample.2012/10/02 16:13 zeman HTB 0.5 for the 2012 shared task.2011/12/08 08:38 zeman Zarovnání čísel v tabulkách.2011/12/06 22:46 zeman Parsing results.2011/12/06 22:35 zeman Inside.2011/12/06 22:23 zeman Size.2011/12/06 17:58 zeman Hindi test data sample.2011/12/06 17:39 zeman Hindi development data sample.2011/12/06 17:12 zeman CoNLL sample corrected.2011/12/06 16:51 zeman Sample training CoNLL.2011/12/06 16:32 zeman Sample training Shakti.2011/12/06 16:24 zeman vytvořeno Go Next revision		Previous revision 2012/12/15 13:15 zeman 2012/10/02 21:10 zeman Zarovnání textu v tabulce.2012/10/02 16:45 zeman HPST 2012 sample.2012/10/02 16:38 zeman HPST 2012 sample.2012/10/02 16:33 zeman HPST 2012 sample.2012/10/02 16:25 zeman HPST 2012 sample.2012/10/02 16:13 zeman HTB 0.5 for the 2012 shared task.2011/12/08 08:38 zeman Zarovnání čísel v tabulkách.2011/12/06 22:46 zeman Parsing results.2011/12/06 22:35 zeman Inside.2011/12/06 22:23 zeman Size.2011/12/06 17:58 zeman Hindi test data sample.2011/12/06 17:39 zeman Hindi development data sample.2011/12/06 17:12 zeman CoNLL sample corrected.2011/12/06 16:51 zeman Sample training CoNLL.2011/12/06 16:32 zeman Sample training Shakti.2011/12/06 16:24 zeman vytvořeno Go Next revision Both sides next revision
user:zeman:treebanks:hi [2011/12/06 22:35] zeman Inside.		user:zeman:treebanks:hi [2011/12/08 08:38] zeman Zarovnání čísel v tabulkách.
Line 46:		Line 46:
	^ Part ^ Sentences ^ Chunks ^ Ratio ^		^ Part ^ Sentences ^ Chunks ^ Ratio ^
-	| Training | 1501 | 13779 | 9.18 |	+	| Training |    1501 |  13779 |  9.18 |
-	| Development | 150 | 1250 | 8.33 |	+	| Development |  150 |   1250 |  8.33 |
-	| Test | 150 | 1156 | 7.71 |	+	| Test |         150 |   1156 |  7.71 |
-	| TOTAL | 1801 | 16185 | 8.99 |	+	| TOTAL |       1801 |  16185 |  8.99 |
	The ICON 2010 version came with a data split into three parts: training, development and test. The intra-chunk dependencies have been added:		The ICON 2010 version came with a data split into three parts: training, development and test. The intra-chunk dependencies have been added:
	^ Part ^ Sentences ^ Chunks ^ Ratio ^ Words ^ Ratio ^		^ Part ^ Sentences ^ Chunks ^ Ratio ^ Words ^ Ratio ^
-	| Training | 2972 | | | 64452 | 21.69 |	+	| Training |    2972 | | |  64452 |  21.69 |
-	| Development | 543 | | | 12616 | 23.23 |	+	| Development |  543 | | |  12616 |  23.23 |
-	| Test | 321 | | | 6588 | 20.52 |	+	| Test |         321 | | |   6588 |  20.52 |
-	| TOTAL | 3836 | | | 83656 | 21.81 |	+	| TOTAL |       3836 | | |  83656 |  21.81 |
	I have counted the sentences and tokens (words) on the ''.conll'' files; there are slight differences from the statistics presented in (Husain et al., 2010).		I have counted the sentences and tokens (words) on the ''.conll'' files; there are slight differences from the statistics presented in (Husain et al., 2010).
Line 587:		Line 587:
	==== Parsing ====		==== Parsing ====
-	Nonprojectivities in HyDT-Bangla are not frequent. Only 78 of the 7252 chunks in the training+development ICON 2010 version are attached nonprojectively (1.08%).	+	Nonprojectivities in HyDT-Hindi are not frequent. Only 862 of the 77068 chunks in the training+development ICON 2010 version are attached nonprojectively (1.12%).
-	The results of the ICON 2009 NLP tools contest have been published in [[http://ltrc.iiit.ac.in/nlptools2009/CR/intro-husain.pdf|(Husain, 2009)]]. There were two evaluation rounds, the first with the coarse-grained syntactic tags, the second with the fine-grained syntactic tags. To reward language independence, only systems that parsed all three languages were officially ranked. The following table presents the Bengali/coarse-grained results of the four officially ranked systems, and the best Bengali-only* system.	+	The results of the ICON 2009 NLP tools contest have been published in [[http://ltrc.iiit.ac.in/nlptools2009/CR/intro-husain.pdf|(Husain, 2009)]]. There were two evaluation rounds, the first with the coarse-grained syntactic tags, the second with the fine-grained syntactic tags. To reward language independence, only systems that parsed all three languages were officially ranked. The following table presents the Hindi/coarse-grained results of the four officially ranked systems.
	^ Parser (Authors) ^ LAS ^ UAS ^		^ Parser (Authors) ^ LAS ^ UAS ^
-	| Kolkata (De et al.)* | 84.29 | 90.32 |	+	| Hyderabad (Ambati et al.) | 79.33 | 90.22 |
-	| Hyderabad (Ambati et al.) | 78.25 | 90.22 |	+	| Malt (Nivre) | 78.20 | 89.36 |
-	| Malt (Nivre) | 76.07 | 88.97 |	+	| Malt+MST (Zeman) | 73.88 | 88.49 |
-	| Malt+MST (Zeman) | 71.49 | 86.89 |	+	| Mannem | 76.90 | 88.06 |
-	| Mannem | 70.34 | 83.56 |	+
-	The results of the ICON 2010 NLP tools contest have been published in [[http://ltrc.iiit.ac.in/nlptools2010/files/documents/toolscontest10-workshoppaper-final.pdf|(Husain et al., 2010)]], page 6. These are the best results for Bengali with fine-grained syntactic tags:	+	The results of the ICON 2010 NLP tools contest have been published in [[http://ltrc.iiit.ac.in/nlptools2010/files/documents/toolscontest10-workshoppaper-final.pdf|(Husain et al., 2010)]], page 6. These are the best results for Hindi with fine-grained syntactic tags:
	^ Parser (Authors) ^ LAS ^ UAS ^		^ Parser (Authors) ^ LAS ^ UAS ^
-	| Attardi et al. | 70.66 | 87.41 |	+	| Attardi et al. | 87.49 | 94.78 |
-	| Kosaraju et al. | 70.55 | 86.16 |	+	| Kosaraju et al. | 88.63 | 94.54 |
-	| Kolachina et al. | 70.14 | 87.10 |	+	| Kolachina et al. | 86.22 | 93.25 |

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