corpusparser finished python dict representation; TODO .json and DB
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data/debugging/dbg.txt
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6
data/debugging/dbg.txt
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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"}]
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Sentence:
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F0034713.20.0
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21
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Sodobni ali preprosto neosveščeni potrošnik vse prerad zavrže stvar, ki se je malenkostno pokvarila in bi se jo zlahka dalo popraviti.
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@ -1 +1 @@
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/home/kristjan/kres_srl/final_json/
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/home/voje/work_data/final_json
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1
data/kres_srl_t420
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data/kres_srl_t420
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/home/kristjan/kres_srl/final_json/
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from corpusparser import Sentence
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from pathlib import Path
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import re
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import json
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from lxml import etree
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import logging
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logging.basicConfig(level=logging.INFO)
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# Read input file(.xml, .json; kres or ssj500k).
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# Create an iterator that outputs resulting sentences (python dict format).
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class Parser():
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def __init__(self, corpus, infiles):
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def __init__(self, corpus, infiles, logger=None):
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if corpus == "kres":
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self.kres_folder = Path(infiles[0])
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@ -22,6 +24,7 @@ class Parser():
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self.W_TAGS = ['w']
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self.C_TAGS = ['c']
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self.S_TAGS = ['S', 'pc']
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self.logger = logger or logging.getLogger(__name__)
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def parse_jos_links(self, sent_el):
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if self.corpus == "kres":
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@ -71,13 +74,15 @@ class Parser():
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return self.parse_any_links_ssj(sent_el, "SRL")
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def parse_srl_links_kres(self, sent_el, sent_srl_links):
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print("HA")
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if len(sent_srl_links) == 0:
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print("HI")
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return []
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print(sent_srl_links)
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res_links = []
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for link in sent_srl_links:
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res_links += [{
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"from": int(link["from"]),
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"afun": link["arg"],
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"to": int(link["dep"]),
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}]
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# find the correspointing json file with srl links
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return sent_srl_links
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return res_links
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def parse(self):
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if self.corpus == "kres":
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@ -166,7 +171,10 @@ class Parser():
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raise KeyError("duplicated id: {}".format(sentence_id))
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jos_links = self.parse_jos_links(s)
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srl_links = srl_dict.get(sentence_id) if self.corpus == "kres" else None
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srl_links_parsed = self.parse_srl_links(s, srl_links)
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if srl_links is None:
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srl_links_parsed = None
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else:
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srl_links_parsed = self.parse_srl_links(s, srl_links)
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res_dict[sentence_id] = {
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"sid": sentence_id,
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"text": sentence_text,
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@ -174,8 +182,7 @@ class Parser():
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"jos_links": jos_links,
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"srl_links": srl_links_parsed
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}
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print("------------------------------------------------- END")
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print(res_dict[sentence_id])
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print("------------------------------------------------- END")
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return # TODO dev break
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if srl_links is None:
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self.logger.info("srl_links missing:{}:{}".format(
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sentence_id, res_dict[sentence_id]["text"]))
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return res_dict
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38
src/pkg/corpusparser/corpusparser/README.md
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src/pkg/corpusparser/corpusparser/README.md
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# corpusparser
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A tool for parsing ssj500k and Kres into a unified .json format.
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## Input:
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### ssj500k
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To parse ssj500k, point to the monolythic `ssj500k-sl.body.xml` file (tested on ssj500k 2.1).
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### Kres
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To parse Kres, point to folders:
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* Kres folder, containig several (around 20K) .xml files (`F00XXXXX.xml.parsed.xml`).
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* Kres SRL folder, containing SRL links for the corresponding F00...xml files (`F00XXXXX.srl.json`).
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## Internal data format
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This is the internal python dict data format. It can be stored to file as `.json` or stored into a database for application usage.
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```python
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{
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'sid': 'F0034713.5.0',
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'text': 'Mednarodni denarni sklad je odobril 30 milijard evrov vredno posojilo Grčiji. ',
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'tokens': [
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{'text': 'Mednarodni', 'lemma': 'mednaroden', 'msd': 'Ppnmeid', 'word': True, 'tid': 1},
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{'text': 'denarni', 'lemma': 'denaren', 'msd': 'Ppnmeid', 'word': True, 'tid': 2},
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{'text': 'sklad', 'lemma': 'sklad', 'msd': 'Somei', 'word': True, 'tid': 3},
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{'text': 'je', 'lemma': 'biti', 'msd': 'Gp-ste-n', 'word': True, 'tid': 4},
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{'text': 'odobril', 'lemma': 'odobriti', 'msd': 'Ggdd-em', 'word': True, 'tid': 5},
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{'text': '30', 'lemma': '30', 'msd': 'Kag', 'word': True, 'tid': 6},
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{'text': 'milijard', 'lemma': 'milijarda', 'msd': 'Sozmr', 'word': True, 'tid': 7}, # ...
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]
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'jos_links': [
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{'to': 1, 'from': 3, 'afun': 'dol'},
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{'to': 2, 'from': 3, 'afun': 'dol'},
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{'to': 3, 'from': 5, 'afun': 'ena'}, # ...
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]
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'srl_links': [
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{'to': 3, 'from': 5, 'afun': 'ACT'},
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{'to': 7, 'from': 5, 'afun': 'PAT'}
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]
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}
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```
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@ -1,3 +0,0 @@
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class Sentence():
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def __init__():
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print("Sentence __init__(): TODO")
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@ -1,2 +1 @@
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from corpusparser.Parser import Parser
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from corpusparser.Sentence import Sentence
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from corpusparser.Parser import Parser
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