ZhongYYMode
In order to run Zhong with the YY-mode inputs, you have to install and set up the Stanford tools and NLTK. See ZhongPreprocessing.
Note that your ACE version must be at least 0.9.19patch1 (release 02 Jan 2015) or later, or you may get segfaults with ACE's yy mode.
If you would like to parse raw sentences (i.e. unsegmented sentences), you can use the folloing command. Before that, you have to compile the data file (e.g. hans.dat). Note that you have to add the -y option.
$ ./utils/yy.sh path/of/sentences | ace -g hans.dat -y
For example, "17只猫去了首尔。" is parsed as follows.
$ ./utils/yy.sh ~/Desktop/sample.txt | ace -g hans.dat -y1Tf
SENT: (yy mode)
[ LTOP: h0
INDEX: e2 [ e SF: prop E.ASPECT: perfective ]
RELS: < [ card_rel<0:2> LBL: h4 CARG: "17" ARG0: x6 [ x SPECI: bool SF: prop COG-ST: cog-st PNG.PERNUM: pernum PNG.GENDER: gender PNG.ANIMACY: animacy ] ARG1: x3 [ x SPECI: + SF: prop COG-ST: cog-st PNG.PERNUM: pernum PNG.GENDER: gender PNG.ANIMACY: animacy ] ]
[ 只_x_rel<2:1> LBL: h4 ARG0: i7 [ i SF: prop ] ARG1: x3 ]
[ "_猫_n_rel"<3:1> LBL: h4 ARG0: x3 ]
[ "exist_q_rel"<-1:-1> LBL: h8 ARG0: x3 RSTR: h9 BODY: h10 ]
[ "_去_v_2_rel"<4:1> LBL: h1 ARG0: e2 ARG1: x3 ARG2: x11 [ x SPECI: bool SF: prop COG-ST: cog-st PNG.PERNUM: pernum PNG.GENDER: gender PNG.ANIMACY: animacy ] ]
[ named_rel<6:2> LBL: h12 CARG: "首尔" ARG0: x11 ]
[ "proper_q_rel"<-1:-1> LBL: h14 ARG0: x11 RSTR: h15 BODY: h16 ] >
HCONS: < h0 qeq h1 h9 qeq h4 h15 qeq h12 >
ICONS: < > ]
NOTE: 1 readings, added 639 / 447 edges to chart (63 fully instantiated, 62 actives used, 60 passives used) RAM: 4375k
http://sweaglesw.org/linguistics/libtsdb/art
After installing ART (and libtsdb http://sweaglesw.org/linguistics/libtsdb/index.html), you want to export the path of the folder where art exists in your ~/.bashrc. For example,
export ARTROOT=/home/sanghoun/tools/art
export PATH=$PATH:$ARTROOT
Note that the sentences in [item] are assumed to be segmented. The segmetation can be carried out using the following command.
$STANFORD_SEGMENTER_PATH/segment.sh ctb PATH/OF/INPUT_FILE UTF-8 0 > PATH/OF/OUTPUT_FILE
You can create the basic profile using the output of the command above.
First, you have to create a profile.
$ mkprof -s /PATH/TO/SKELETON /PATH/TO/PROFILE_TO_WRITE
Run the following command.
$ art -Ya "python utils/cmn2yy.py | ace -g hans.dat -y" /PATH/TO/PROFILE_TO_WRITE
Here is an example.
$ mkprof -s tsdb/skeletons/chart-mapping/ tsdb/gold/chart-mapping/
9746 bytes relations
167 bytes item
$ art -Ya "python utils/cmn2yy.py | ace -g hans.dat -y" tsdb/gold/chart-mapping/
reading results for 1 1 results
reading results for 2 1 results
If you are using the latest version of NLTK, cmn2yy.py may not work, because the data structure was slightly changed. If so, edit the following line (add [0] after result).
for w in result:
...
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