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.
Nie możesz wybrać więcej, niż 25 tematów Tematy muszą się zaczynać od litery lub cyfry, mogą zawierać myślniki ('-') i mogą mieć do 35 znaków.
 
 
 
voje 01adf47b9b
a
5 lat temu
corpusparser a 5 lat temu
dockerfiles/cjvt-corpusparser-env some updates 5 lat temu
.gitignore some updates 5 lat temu
Makefile corpusparser as standalone project 5 lat temu
README.md corpusparser as standalone project 5 lat temu
setup.py corpusparser as standalone project 5 lat temu

README.md

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'}
	]
}