$ git clone https://github.com/elikip/bist-parser.git
# install dynet, http://dynet.readthedocs.io/en/latest/python.html
$ ls
LICENSE README.md barchybrid/ bmstparser/ dynet-base/
$ git clone https://github.com/dsindex/bist-parser.git work
$ ls
LICENSE README.md barchybrid/ bmstparser/ dynet-base/ work/
$ cd work
# training with UD_English corpus.
$ ./train.sh -v -v
$ ./eval.sh -v -v
$ cat results/test_pred.coll.txt
# epoch 5
Labeled attachment score: 18611 / 21943 * 100 = 84.82 %
Unlabeled attachment score: 19280 / 21943 * 100 = 87.86 %
Label accuracy score: 19993 / 21943 * 100 = 91.11 %
...
# training with Sejong corpus.
# the corpus is accessible through the path on this image : https://raw.githubusercontent.com/dsindex/blog/master/images/url_sejong.png
# copy sejong_treebank.txt.v1 to `sejong` directory.
$ ./train_sejong.sh -v -v
$ ./eval_sejong.sh -v -v
...
# epoch 5
accuracy(UAS) = 0.892086
...
$ cat results/test_pred.coll.txt
# epoch 5
Labeled attachment score: 81723 / 88608 * 100 = 92.23 %
Unlabeled attachment score: 83967 / 88608 * 100 = 94.76 %
Label accuracy score: 85909 / 88608 * 100 = 96.95 %
...
$ more results/test_pred.conll-eoj-ret
; 프랑스의 세계적인 의상 디자이너 엠마누엘 웅가로가 실내 장식용 직물 디자이너로 나섰다.
1 프랑스의 프랑스/NNP + 의/JKG NP_MOD 4 NP_MOD 6 FAILURE
2 세계적인 세계/NNG + 적/XSN + 이/VCP + ᆫ/ETM VNP_MOD 4 VNP_MOD 4 SUCCESS
3 의상 의상/NNG NP 4 NP 4 SUCCESS
4 디자이너 디자이너/NNG NP 6 NP 6 SUCCESS
5 엠마누엘 엠마누엘/NNP NP 6 NP 6 SUCCESS
6 웅가로가 웅가로/NNP + 가/JKS NP_SBJ 11 NP_SBJ 11 SUCCESS
7 실내 실내/NNG NP 8 NP 9 FAILURE
8 장식용 장식/NNG + 용/XSN NP 9 NP 9 SUCCESS
9 직물 직물/NNG NP 10 NP 10 SUCCESS
10 디자이너로 디자이너/NNG + 로/JKB NP_AJT 11 NP_AJT 11 SUCCESS
11 나섰다. 나서/VV + 었/EP + 다/EF + ./SF VP 0 VP 0 SUCCESS
....