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Both sides previous revision Previous revision 2007/10/16 21:55 zeman N-best parsing with Charniak.2007/10/16 19:03 zeman Unwanted wiki markup.2007/10/16 18:49 zeman Brown Reranking Parser.2007/10/16 18:36 zeman 2007/02/09 23:10 zeman Go		2007/10/16 21:55 zeman N-best parsing with Charniak.2007/10/16 19:03 zeman Unwanted wiki markup.2007/10/16 18:49 zeman Brown Reranking Parser.2007/10/16 18:36 zeman 2007/02/09 23:10 zeman Go Next revision Both sides next revision
parsery [2007/10/16 18:36] zeman		parsery [2007/10/16 18:49] zeman Brown Reranking Parser.
Line 77:		Line 77:
	make all		make all
	</code>		</code>
		+
	==== Brown Reranking Parser ====		==== Brown Reranking Parser ====
Line 112:		Line 113:
	Options:		Options:
-	; ''-nick da-delex''	+	* ''-nick da-delex''
-	: Assigns a nickname (''da-delex'' in this example) to the intermediate files the training procedure creates in the $PARSINGROOT subtree. Ensures that older models do not get overwritten. Is only needed if you want to reuse the intermediate files or if you want to train two different models in parallel. The resulting tgzipped model appears anyway on the standard output and it is your responsibility to save it.	+	* Assigns a nickname (''da-delex'' in this example) to the intermediate files the training procedure creates in the $PARSINGROOT subtree. Ensures that older models do not get overwritten. Is only needed if you want to reuse the intermediate files or if you want to train two different models in parallel. The resulting tgzipped model appears anyway on the standard output and it is your responsibility to save it.
-	; ''-reuse''	+	* ''-reuse''
-	: Reuse old intermediate files, if available and up-to-date (make-wise). In other words, do not perform ''make clean'' in the beginning.	+	* Reuse old intermediate files, if available and up-to-date (make-wise). In other words, do not perform ''make clean'' in the beginning.
	If you have two tgzipped models and want to use the first-stage parser from the first model, plus the reranker from the second model, call		If you have two tgzipped models and want to use the first-stage parser from the first model, plus the reranker from the second model, call

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