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Both sides previous revision Previous revision 2014/10/14 00:28 ufal 2014/10/14 00:28 ufal 2014/10/13 22:56 ufal 2014/10/13 22:48 ufal 2014/10/13 22:43 ufal created Go		2014/10/14 00:28 ufal 2014/10/14 00:28 ufal 2014/10/13 22:56 ufal 2014/10/13 22:48 ufal 2014/10/13 22:43 ufal created Go Next revision Both sides next revision
courses:rg:2014:perceptron [2014/10/13 22:48] ufal		courses:rg:2014:perceptron [2014/10/13 22:56] ufal
Line 6:		Line 6:
	During the training, this best tag sequence for this sentence is found:		During the training, this best tag sequence for this sentence is found:
	N N X N X		N N X N X
-	How would this result alter values of alpha_X,X,X, alpha_N,father?	+	How would this result alter values of //α<sub>X,X,X</sub>// and //α<sub>N,father</sub>//<nowiki>?</nowiki>
	Supposing that the best tag sequence won't change, what would be your answer if "father/N" is replaced by "Luke/X"?		Supposing that the best tag sequence won't change, what would be your answer if "father/N" is replaced by "Luke/X"?
Line 13:		Line 13:
	How many features will a tagger from section 2.4 have, when its training is identical to the one from section 2.1?		How many features will a tagger from section 2.4 have, when its training is identical to the one from section 2.1?
	(For some reasons, you want to use all 36 tags from Penn Treebank tagset.)		(For some reasons, you want to use all 36 tags from Penn Treebank tagset.)
-	Which tag sequence (''z_[1:n_1]'') will be selected for this first sentence in the first iteration of algorithm?	+	Which tag sequence (z<sub>[1:n_1]</sub>) will be selected for this first sentence in the first iteration of algorithm?
	3. What is the difference between Maximum-Entropy and the Perceptron model training in the experiments?		3. What is the difference between Maximum-Entropy and the Perceptron model training in the experiments?

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