corpusparser finished python dict representation; TODO .json and DB

dev
voje 5 years ago
parent d1dea2e22e
commit da460f74f1

@ -0,0 +1,6 @@
F0034713.20.1": [{"dep": "7", "arg": "REC", "from": "9"}, {"dep": "10", "arg": "ACT", "from": "9"}, {"dep": "13", "arg": "MWPRED", "from": "12"}, {"dep": "18", "arg": "MANN", "from": "19"}, {"dep": "20", "arg": "LOC", "from": "19"}]
Sentence:
F0034713.20.0
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21
Sodobni ali preprosto neosveščeni potrošnik vse prerad zavrže stvar, ki se je malenkostno pokvarila in bi se jo zlahka dalo popraviti.

@ -1 +1 @@
/home/kristjan/kres_srl/final_json/
/home/voje/work_data/final_json

@ -0,0 +1 @@
/home/kristjan/kres_srl/final_json/

@ -1,14 +1,16 @@
from corpusparser import Sentence
from pathlib import Path
import re
import json
from lxml import etree
import logging
logging.basicConfig(level=logging.INFO)
# Read input file(.xml, .json; kres or ssj500k).
# Create an iterator that outputs resulting sentences (python dict format).
class Parser():
def __init__(self, corpus, infiles):
def __init__(self, corpus, infiles, logger=None):
if corpus == "kres":
self.kres_folder = Path(infiles[0])
@ -22,6 +24,7 @@ class Parser():
self.W_TAGS = ['w']
self.C_TAGS = ['c']
self.S_TAGS = ['S', 'pc']
self.logger = logger or logging.getLogger(__name__)
def parse_jos_links(self, sent_el):
if self.corpus == "kres":
@ -71,13 +74,15 @@ class Parser():
return self.parse_any_links_ssj(sent_el, "SRL")
def parse_srl_links_kres(self, sent_el, sent_srl_links):
print("HA")
if len(sent_srl_links) == 0:
print("HI")
return []
print(sent_srl_links)
res_links = []
for link in sent_srl_links:
res_links += [{
"from": int(link["from"]),
"afun": link["arg"],
"to": int(link["dep"]),
}]
# find the correspointing json file with srl links
return sent_srl_links
return res_links
def parse(self):
if self.corpus == "kres":
@ -166,7 +171,10 @@ class Parser():
raise KeyError("duplicated id: {}".format(sentence_id))
jos_links = self.parse_jos_links(s)
srl_links = srl_dict.get(sentence_id) if self.corpus == "kres" else None
srl_links_parsed = self.parse_srl_links(s, srl_links)
if srl_links is None:
srl_links_parsed = None
else:
srl_links_parsed = self.parse_srl_links(s, srl_links)
res_dict[sentence_id] = {
"sid": sentence_id,
"text": sentence_text,
@ -174,8 +182,7 @@ class Parser():
"jos_links": jos_links,
"srl_links": srl_links_parsed
}
print("------------------------------------------------- END")
print(res_dict[sentence_id])
print("------------------------------------------------- END")
return # TODO dev break
if srl_links is None:
self.logger.info("srl_links missing:{}:{}".format(
sentence_id, res_dict[sentence_id]["text"]))
return res_dict

@ -0,0 +1,38 @@
# corpusparser
A tool for parsing ssj500k and Kres into a unified .json format.
## 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.
```python
{
'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'}
]
}
```

@ -1,3 +0,0 @@
class Sentence():
def __init__():
print("Sentence __init__(): TODO")

@ -1,2 +1 @@
from corpusparser.Parser import Parser
from corpusparser.Sentence import Sentence
from corpusparser.Parser import Parser
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