Used in cjvt-valency as a submodule.
Reads SSJ500k.xml file and Kres F00...xml files.
Creates a python generator that outputs sentences as python dictionaries.
Also has a method to output the data into .json files.
corpusparser | ||
dockerfiles/cjvt-corpusparser-env | ||
.gitignore | ||
Makefile | ||
README.md | ||
setup.py |
corpusparser
A tool for parsing ssj500k and Kres into a unified .json format.
Quickstart
Run make
. You will get a container with python3 and this package installed.
Input:
ssj500k
To parse ssj500k, point to the monolythic ssj500k-sl.body.xml
file (tested on ssj500k 2.1).
Kres
To parse Kres, point to folders:
- Kres folder, containig several (around 20K) .xml files (
F00XXXXX.xml.parsed.xml
). - Kres SRL folder, containing SRL links for the corresponding F00...xml files (
F00XXXXX.srl.json
).
Internal data format
This is the internal python dict data format. It can be stored to file as .json
or stored into a database for application usage.
{
'sid': 'F0034713.5.0',
'text': 'Mednarodni denarni sklad je odobril 30 milijard evrov vredno posojilo Grčiji. ',
'tokens': [
{'text': 'Mednarodni', 'lemma': 'mednaroden', 'msd': 'Ppnmeid', 'word': True, 'tid': 1},
{'text': 'denarni', 'lemma': 'denaren', 'msd': 'Ppnmeid', 'word': True, 'tid': 2},
{'text': 'sklad', 'lemma': 'sklad', 'msd': 'Somei', 'word': True, 'tid': 3},
{'text': 'je', 'lemma': 'biti', 'msd': 'Gp-ste-n', 'word': True, 'tid': 4},
{'text': 'odobril', 'lemma': 'odobriti', 'msd': 'Ggdd-em', 'word': True, 'tid': 5},
{'text': '30', 'lemma': '30', 'msd': 'Kag', 'word': True, 'tid': 6},
{'text': 'milijard', 'lemma': 'milijarda', 'msd': 'Sozmr', 'word': True, 'tid': 7}, # ...
]
'jos_links': [
{'to': 1, 'from': 3, 'afun': 'dol'},
{'to': 2, 'from': 3, 'afun': 'dol'},
{'to': 3, 'from': 5, 'afun': 'ena'}, # ...
]
'srl_links': [
{'to': 3, 'from': 5, 'afun': 'ACT'},
{'to': 7, 'from': 5, 'afun': 'PAT'}
]
}