PYthon BIbliography COnverter, based on Conditional Random Fields

Requirements:
python3
python3-pip
mysql antiword scikit-learn (pip3 install scikit-learn)
sklearn-crfsuite (pip3 install sklearn_crfsuite) pymyql (pip3 install pymysql) docx (pip3 install docx)

Usage:
python3 learn.py
python3 pybico_crf.py

Example:
$ ipython3 learn.py
precision recall f1-score support

T_AUTHOR 1.000 1.000 1.000 68
T_DELIMITER 0.939 1.000 0.969 31
T_JOURNAL 0.948 0.970 0.959 132
T_LOCATION 1.000 0.857 0.923 7
T_PAGES 0.893 1.000 0.943 25
T_PUBLISHER 1.000 0.800 0.889 10
T_TITLE 1.000 1.000 1.000 147
T_TJSEP 1.000 1.000 1.000 10
T_VOLUME 0.917 0.846 0.880 13
T_YEAR 0.889 0.727 0.800 22

avg / total 0.968 0.968 0.967 465

Interactive input: $ ipython3 pybico_crf.py Enter the bibliography string Author A.A. Title title title title. Awesome journal, 2016. - №2. - 13. {'T_PAGES': '13.', 'T_AUTHOR': 'Author A.A.', 'T_TITLE': 'Title title title title.', 'T_JOURNAL': 'Awesome journal,', 'T_VOLUME': '№2.', 'T_YEAR': '2016.'}

Input using command line argument: $ ipython3 pybico_crf.py -b "Author A.A. Title title title title. Awesome journal, 2016. - №2. - 13." {'T_TITLE': 'Title title title title.', 'T_YEAR': '2016.', 'T_PAGES': '13.', 'T_AUTHOR': 'Author A.A.', 'T_JOURNAL': 'Awesome journal,', 'T_VOLUME': '№2.'}

Load result to database: $ ipython3 pybico_crf.py -b "Author A.A. Title title title title. Awesome journal, 2016. - №2. - 13." -l -u root -p 123456