commit
f87eafd9f2
@ -0,0 +1,35 @@
|
||||
# All required components, to create and fill a database,
|
||||
# instantiate backend and frontend.
|
||||
|
||||
MAKE_ROOT = $(shell pwd)
|
||||
|
||||
### Input data
|
||||
# I received ssj500k in one .xml file,
|
||||
# kres is composed of many .xml files
|
||||
# I generated srl tags for kres in separate .json files
|
||||
# (for each kres.xml file there is a kres.json file with srl tags)
|
||||
SSJ_FILE = "$(MAKE_ROOT)/data/samples/ssj_example/ssj500k-sl.body.sample.xml"
|
||||
KRES_FOLDER = "$(MAKE_ROOT)/data/samples/kres_example"
|
||||
KRES_SRL_FOLDER = "$(MAKE_ROOT)/data/kres_srl"
|
||||
OUTPUT = "file"
|
||||
OUTDIR = "/home/voje/workdir/test_out"
|
||||
DBADDR = ""
|
||||
|
||||
DB_ADM_USER = testadmin
|
||||
DB_ADM_PASS = testadminpass
|
||||
DB_USR_USER = testuser
|
||||
DB_USR_PASS = testuserpass
|
||||
export
|
||||
|
||||
.PHONY: cjvt-corpusparser-env
|
||||
|
||||
all: cjvt-corpusparser-env install
|
||||
|
||||
# prereq (environment)
|
||||
cjvt-corpusparser-env:
|
||||
cd dockerfiles/cjvt-corpusparser-env; $(MAKE)
|
||||
|
||||
# commands inside containers:
|
||||
install:
|
||||
pip3 install -e .
|
||||
|
||||
@ -0,0 +1,41 @@
|
||||
# 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.
|
||||
```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'}
|
||||
]
|
||||
}
|
||||
```
|
||||
@ -0,0 +1,10 @@
|
||||
Metadata-Version: 1.0
|
||||
Name: corpusparser
|
||||
Version: 0.0.1
|
||||
Summary: Parser for kres and ssj500k
|
||||
Home-page: UNKNOWN
|
||||
Author: Kristjan Voje
|
||||
Author-email: kristjan.voje@gmail.com
|
||||
License: MIT
|
||||
Description: UNKNOWN
|
||||
Platform: UNKNOWN
|
||||
@ -0,0 +1,5 @@
|
||||
corpusparser.egg-info/PKG-INFO
|
||||
corpusparser.egg-info/SOURCES.txt
|
||||
corpusparser.egg-info/dependency_links.txt
|
||||
corpusparser.egg-info/not-zip-safe
|
||||
corpusparser.egg-info/top_level.txt
|
||||
@ -0,0 +1 @@
|
||||
|
||||
@ -0,0 +1 @@
|
||||
|
||||
@ -0,0 +1 @@
|
||||
|
||||
@ -0,0 +1,196 @@
|
||||
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, logger=None):
|
||||
|
||||
if corpus == "kres":
|
||||
self.kres_folder = Path(infiles[0])
|
||||
self.kres_srl_folder = Path(infiles[1])
|
||||
elif corpus == "ssj":
|
||||
self.ssj_file = Path(infiles[0])
|
||||
else:
|
||||
raise ValueError("Argument corpus should be 'ssj' or 'kres'.")
|
||||
|
||||
self.corpus = corpus
|
||||
self.W_TAGS = ['w']
|
||||
self.C_TAGS = ['c']
|
||||
self.S_TAGS = ['S', 'pc']
|
||||
self.logger = logger or logging.getLogger(__name__)
|
||||
self.stats = {
|
||||
"parsed_count": 0,
|
||||
"missing_srl": []
|
||||
}
|
||||
|
||||
def parse_jos_links(self, sent_el):
|
||||
if self.corpus == "kres":
|
||||
return self.parse_jos_links_kres(sent_el)
|
||||
else:
|
||||
# 'syntax' is the linkgroup we're looking for
|
||||
return self.parse_any_links_ssj(sent_el, "syntax")
|
||||
|
||||
def parse_jos_links_kres(self, sent_el):
|
||||
lgrps = sent_el.findall(".//links")
|
||||
if len(lgrps) < 1:
|
||||
raise IOError("Can't find links.")
|
||||
res_links = []
|
||||
for link in lgrps[0]:
|
||||
res_links += [{
|
||||
"from": int(link.get("from").split(".")[-1]),
|
||||
"afun": link.get("afun"),
|
||||
"to": int(link.get("dep").split(".")[-1]),
|
||||
}]
|
||||
return res_links
|
||||
|
||||
def parse_ssj_target_arg(self, text):
|
||||
# from: 0, to: 6
|
||||
# <link ana="syn:modra" target="#ssj1.1.3 #ssj1.1.3.t6"/>
|
||||
# from: 6, to: 7
|
||||
# <link ana="syn:dol" target="#ssj1.1.3.t6 #ssj1.1.3.t7"/>
|
||||
lst = [x.split(".")[-1] for x in text.split(" ")]
|
||||
return [int(x[1:] if x[0] == "t" else 0) for x in lst]
|
||||
|
||||
def parse_any_links_ssj(self, sent_el, links_type):
|
||||
lgrps = sent_el.findall(".//linkGrp")
|
||||
links = [x for x in lgrps if x.get("type") == links_type][0]
|
||||
res_links = []
|
||||
for link in links:
|
||||
tar = self.parse_ssj_target_arg(link.get("target"))
|
||||
res_links += [{
|
||||
"from": tar[0],
|
||||
"afun": link.get("ana").split(":")[1],
|
||||
"to": tar[1],
|
||||
}]
|
||||
return res_links
|
||||
|
||||
def parse_srl_links(self, sent_el, sent_srl_links=None):
|
||||
if self.corpus == "kres":
|
||||
return self.parse_srl_links_kres(sent_el, sent_srl_links)
|
||||
else:
|
||||
return self.parse_any_links_ssj(sent_el, "SRL")
|
||||
|
||||
def parse_srl_links_kres(self, sent_el, 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 res_links
|
||||
|
||||
def sentence_generator(self):
|
||||
# Using generators so we don't copy a whole corpu around in memory.
|
||||
if self.corpus == "kres":
|
||||
for xml_file in self.kres_folder.iterdir():
|
||||
# self.parse_xml_file(xml_file)
|
||||
yield from self.parse_xml_file(xml_file)
|
||||
else:
|
||||
yield from self.parse_xml_file(self.ssj_file)
|
||||
|
||||
def parse_xml_file(self, xml_file):
|
||||
srl_from_json = {}
|
||||
if self.corpus == "kres":
|
||||
# in case of kres, read the SRL links form a separate json file
|
||||
file_id = xml_file.name.split(".")[0]
|
||||
json_file = self.kres_srl_folder / Path(file_id).with_suffix(".srl.json")
|
||||
with json_file.open("r") as fp:
|
||||
srl_from_json = json.loads(fp.read())
|
||||
|
||||
with xml_file.open("rb") as fp:
|
||||
# remove namespaces
|
||||
bstr = fp.read()
|
||||
|
||||
utf8str = bstr.decode("utf-8")
|
||||
utf8str = re.sub('\\sxmlns="[^"]+"', '', utf8str, count=1)
|
||||
utf8str = re.sub(' xml:', ' ', utf8str)
|
||||
|
||||
root = etree.XML(utf8str.encode("utf-8"))
|
||||
|
||||
divs = [] # in ssj, there are divs, in Kres, there are separate files
|
||||
if self.corpus == "kres":
|
||||
divs = [root]
|
||||
else:
|
||||
divs = root.findall(".//div")
|
||||
|
||||
res_dict = {}
|
||||
|
||||
# parse divs
|
||||
for div in divs:
|
||||
f_id = div.get("id")
|
||||
|
||||
# parse paragraphs
|
||||
for p in div.findall(".//p"):
|
||||
p_id = p.get("id").split(".")[-1]
|
||||
|
||||
# parse sentences
|
||||
for s in p.findall(".//s"):
|
||||
s_id = s.get("id").split(".")[-1]
|
||||
sentence_text = ""
|
||||
sentence_tokens = []
|
||||
|
||||
# parse tokens
|
||||
for el in s.iter():
|
||||
if el.tag in self.W_TAGS:
|
||||
el_id = el.get("id").split(".")[-1]
|
||||
if el_id[0] == 't':
|
||||
el_id = el_id[1:] # ssj W_TAG ids start with t
|
||||
sentence_text += el.text
|
||||
sentence_tokens += [{
|
||||
"word": True,
|
||||
"tid": int(el_id),
|
||||
"text": el.text,
|
||||
"lemma": el.get("lemma"),
|
||||
"msd": (el.get("msd") if self.corpus == "kres"
|
||||
else el.get("ana").split(":")[-1]),
|
||||
}]
|
||||
elif el.tag in self.C_TAGS:
|
||||
# only Kres' C_TAGS have ids
|
||||
el_id = el.get("id") or "none"
|
||||
el_id = el_id.split(".")[-1]
|
||||
sentence_text += el.text
|
||||
sentence_tokens += [{
|
||||
"word": False,
|
||||
"tid": (int(el_id) if self.corpus == "kres" else -1),
|
||||
"text": el.text,
|
||||
}]
|
||||
elif el.tag in self.S_TAGS:
|
||||
# Kres' <S /> doesn't contain .text
|
||||
sentence_text += " "
|
||||
else:
|
||||
# pass links and linkGroups
|
||||
pass
|
||||
sentence_id = "{}.{}.{}".format(f_id, p_id, s_id)
|
||||
|
||||
jos_links = self.parse_jos_links(s)
|
||||
|
||||
if self.corpus == "kres":
|
||||
srl_links_raw = srl_from_json.get(sentence_id)
|
||||
if srl_links_raw is None:
|
||||
srl_links_parsed = None
|
||||
self.stats["missing_srl"] += [(sentence_id, sentence_text)]
|
||||
else:
|
||||
srl_links_parsed = self.parse_srl_links(s, srl_links_raw)
|
||||
else:
|
||||
srl_links_parsed = self.parse_srl_links(s)
|
||||
if len(srl_links_parsed) == 0:
|
||||
self.stats["missing_srl"] += [(sentence_id, sentence_text)]
|
||||
|
||||
sentence_entry = {
|
||||
"sid": sentence_id,
|
||||
"text": sentence_text,
|
||||
"tokens": sentence_tokens,
|
||||
"jos_links": jos_links,
|
||||
"srl_links": srl_links_parsed
|
||||
}
|
||||
self.stats["parsed_count"] += 1
|
||||
yield (xml_file, sentence_entry)
|
||||
@ -0,0 +1 @@
|
||||
from corpusparser.Parser import Parser
|
||||
@ -0,0 +1,102 @@
|
||||
from pathlib import Path
|
||||
from corpusparser import Parser
|
||||
import argparse
|
||||
import logging
|
||||
import json
|
||||
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
## Main handles command line arguments and writing to files / DB.
|
||||
|
||||
def ssj_to_json_file(sentence_generator, outfolder):
|
||||
# this funciton is based on the fact that files are parsed sequentially
|
||||
outfolder = Path(outfolder)
|
||||
outfolder.mkdir(parents=True, exist_ok=True)
|
||||
outfile = outfolder / "ssj500k.json"
|
||||
|
||||
data_buffer = []
|
||||
for s in sentence_generator:
|
||||
sdata = s[1]
|
||||
data_buffer += [sdata]
|
||||
|
||||
# outfile = Path(outfile)
|
||||
with outfile.open("w") as fp:
|
||||
logger.info("Writing to {}".format(outfile))
|
||||
json.dump(data_buffer, fp)
|
||||
|
||||
def kres_to_json_files(sentence_generator, outfolder):
|
||||
outfolder = Path(outfolder) / "kres_json"
|
||||
outfolder.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
def write_buffer_to_file(outfile, outfile_buffer):
|
||||
logger.info("Writing file: {}".format(outfile))
|
||||
with outfile.open("w") as fp:
|
||||
json.dump(outfile_buffer, fp)
|
||||
|
||||
outfile_buffer = None
|
||||
current_outfile = None
|
||||
for s in sentence_generator:
|
||||
infile = s[0]
|
||||
outfile = outfolder / Path(infile.name.split(".")[0]).with_suffix(".json")
|
||||
|
||||
# parser sequentially parses files; when we're done with a file, write it out
|
||||
if current_outfile is None:
|
||||
current_outfile = outfile
|
||||
outfile_buffer = []
|
||||
elif outfile != current_outfile:
|
||||
write_buffer_to_file(current_outfile, outfile_buffer)
|
||||
current_outfile = outfile
|
||||
outfile_buffer = []
|
||||
|
||||
# update buffer
|
||||
sdata = s[1]
|
||||
outfile_buffer += [sdata]
|
||||
write_buffer_to_file(current_outfile, outfile_buffer)
|
||||
|
||||
|
||||
|
||||
def to_db():
|
||||
return "TODO"
|
||||
|
||||
if __name__ == "__main__":
|
||||
parser = argparse.ArgumentParser(description="Parsing corpora kres and ssj500k.")
|
||||
parser.add_argument('--kres-folder', required=True)
|
||||
parser.add_argument('--kres-srl-folder', required=True)
|
||||
parser.add_argument('--ssj-file', required=True)
|
||||
parser.add_argument('--output', required=False, default=None)
|
||||
parser.add_argument('--outdir', required=False, default=None)
|
||||
parser.add_argument('--dbaddr', required=False, default=None)
|
||||
args = parser.parse_args()
|
||||
|
||||
# parse ssj
|
||||
logger.info("Parsing ssj500k: {}".format(args.ssj_file))
|
||||
ssj_parser = Parser(
|
||||
corpus="ssj",
|
||||
infiles=[args.ssj_file],
|
||||
)
|
||||
# res = [x[1]["sid"] for x in ssj_parser.sentence_generator()]
|
||||
# logger.info("Parsed {} sentences (ssj500k)".format(len(res)))
|
||||
|
||||
# ssj to json
|
||||
ssj_to_json_file(ssj_parser.sentence_generator(), args.outdir)
|
||||
|
||||
# parse kres
|
||||
logger.info("Parsing Kres: {}".format(args.ssj_file))
|
||||
kres_parser = Parser(
|
||||
corpus="kres",
|
||||
infiles=[args.kres_folder, args.kres_srl_folder],
|
||||
)
|
||||
# res = [x[1]["sid"] for x in kres_parser.sentence_generator()]
|
||||
# logger.info("Parsed {} sentences (kres)".format(len(res)))
|
||||
|
||||
# kres to json
|
||||
kres_to_json_files(kres_parser.sentence_generator(), args.outdir)
|
||||
|
||||
|
||||
## Handling output is situational --- implement it outside of Parser.
|
||||
## Parser returns tuples (orig_file, element)
|
||||
# 1. parse per-file and output to file (JSON)
|
||||
# 2. parse and save to DB
|
||||
|
||||
# TODO
|
||||
@ -0,0 +1,15 @@
|
||||
FROM ubuntu:16.04
|
||||
|
||||
RUN apt-get update --fix-missing
|
||||
RUN apt-get install -y \
|
||||
vim \
|
||||
python3 \
|
||||
python3-pip \
|
||||
sshfs
|
||||
|
||||
RUN pip3 install \
|
||||
lxml \
|
||||
argparse \
|
||||
pathlib
|
||||
|
||||
ENV PYTHONIOENCODING UTF-8
|
||||
@ -0,0 +1,19 @@
|
||||
IMAGE_NAME="cjvt-corpusparser-env"
|
||||
|
||||
all: build run
|
||||
|
||||
build:
|
||||
docker build . -t $(IMAGE_NAME)
|
||||
|
||||
run:
|
||||
docker run \
|
||||
-it \
|
||||
-v /home/${USER}:/home/${USER} \
|
||||
--user $(shell id -u):$(shell id -g) \
|
||||
-v /etc/passwd:/etc/passwd \
|
||||
-v /etc/group:/etc/group \
|
||||
-v $(MAKE_ROOT):/project \
|
||||
-w /project \
|
||||
$(IMAGE_NAME) \
|
||||
/bin/bash
|
||||
|
||||
Loading…
Reference in new issue