1	fontfile	arialuni.ttf
2	fontname	Arial Unicode MS
3	database encoding	utf-8
4	database communication encoding	utf-8
5	content encoding	utf-8
6	browser version	1.0
7	build release	Medusa-1.4-B774
8	build date	2010-12-25
9	build user	teckart
10	build location	aspra5:/disk1/users/teckart/WSToolchain/tools/Medusa-1.4-B774
11	build file encoding	UTF-8
12	build system	Linux on amd64
13	build architecture model	64
14	build java version	1.6.0_15
15	release date	04-MÃ¤rz-2008 10:09 AM
16	release user	mbuechler
17	corpus file	/disk1/users/teckart/WSToolchain/workingDir/nep_news_2010_10K/nep_news_2010_10K.txt
18	used memory	5726666752
19	WORD_TOKENS	183727
20	de.uni_leipzig.asv.medusa.filter.sidx.IDXNeighbourhoodFilterImpl.SIG_COOCCURRENCE_TOKENS	45982
21	de.uni_leipzig.asv.medusa.filter.sidx.IDXNeighbourhoodFilterImpl.SIG_COOCCURRENCE_TYPES	4425
22	de.uni_leipzig.asv.medusa.filter.sidx.IDXNeighbourhoodFilterImpl.n	173727
23	de.uni_leipzig.asv.medusa.filter.sidx.IDXSentenceFilterImpl.SIG_COOCCURRENCE_TYPES	22984
24	de.uni_leipzig.asv.medusa.filter.sidx.IDXInvertedListFilterImpl.n	10000
25	SENTENCES	10000
26	de.uni_leipzig.asv.medusa.filter.sidx.IDXSentenceFilterImpl.n	10000
27	BOW_WORD_TOKENS	177227
28	de.uni_leipzig.asv.medusa.filter.sidx.IDXSentenceFilterImpl.SIG_COOCCURRENCE_TOKENS	188902
29	de.uni_leipzig.asv.medusa.filter.sidx.IDXSentenceFilterImpl.COOCCURRENCE_TYPES	123258
30	WORD_TYPES	35166
31	de.uni_leipzig.asv.medusa.filter.sidx.IDXInvertedSourceListFilterImpl.n	10000
32	de.uni_leipzig.asv.medusa.filter.sidx.IDXNeighbourhoodFilterImpl.COOCCURRENCE_TYPES	4963
33	auto mwu detection enabled	false
34	duration of executing de.uni_leipzig.asv.medusa.filter.sidx.IDXSentenceFilterImpl	0 hour(s) 1 min 22,329 sec
35	duration of exporting de.uni_leipzig.asv.medusa.filter.sidx.IDXSentenceFilterImpl	0 hour(s) 0 min 1,88 sec
36	duration of word numbers generation	0 hour(s) 0 min 1,761 sec
37	duration of executing de.uni_leipzig.asv.medusa.filter.sidx.IDXInvertedSourceListFilterImpl	0 hour(s) 0 min 0,10 sec
38	duration of executing de.uni_leipzig.asv.medusa.filter.sidx.IDXNeighbourhoodFilterImpl	0 hour(s) 1 min 12,564 sec
39	duration for generation wnc file	0 hour(s) 0 min 0,158 sec
40	duration of executing de.uni_leipzig.asv.medusa.filter.sidx.IDXInvertedListFilterImpl	0 hour(s) 1 min 9,724 sec
41	most frequent word	।
42	duration of generation bow frequencies	0 hour(s) 0 min 2,458 sec
43	duration of wswn transformation 	0 hour(s) 0 min 0,534 sec
44	duration of tokenisation	0 hour(s) 0 min 2,729 sec
45	duration of exporting de.uni_leipzig.asv.medusa.filter.sidx.IDXInvertedListFilterImpl	0 hour(s) 0 min 0,433 sec
46	most frequent word's frequency	9650
47	duration of exporting de.uni_leipzig.asv.medusa.filter.sidx.IDXNeighbourhoodFilterImpl	0 hour(s) 0 min 0,195 sec
0	Corpus.DatabaseName	nep_news_2010_10K
0	Corpus.EPIC_Identifier	11858/00-229C-0000-0001-B071-C
