Adapted code to ssj500k and added its branch
This commit is contained in:
parent
c1ecc4cdbc
commit
fd20295017
3
Makefile
3
Makefile
|
|
@ -6,8 +6,9 @@ json_files: # srl_tagged_files
|
|||
cd tools; python3 gen_json.py
|
||||
|
||||
srl_tagged_files: # tsv_files
|
||||
# cd tools/srl-20131216; ./scripts/parse_srl_only_mod.sh; cd -
|
||||
# # cd tools/srl-20131216; ./scripts/parse_srl_only_mod.sh; cd -
|
||||
cd tools/srl-20131216; ./tag_all.sh
|
||||
# cd tools/srl-20131216; ./tag_ssj500k2.3.sh
|
||||
|
||||
tsv_files: # tools/fillpred_model/model.pickle
|
||||
cd tools; python3 parse_all.py
|
||||
|
|
|
|||
|
|
@ -1,3 +1,11 @@
|
|||
# Instructions
|
||||
For mining ssj500k <b>checkout to branch ssj500k</b>.
|
||||
For running order look at Makefile. Generally it works like this:
|
||||
- tools/parse_all.py - It creates mate file that is necessary for running Java based srl.jar
|
||||
- tools/srl-20131216/tag_all.sh - Tags ssj500k
|
||||
- tools/gen_json.py - Mine SRL to json
|
||||
- tools/gen_tei.py - Mine SRL to tei
|
||||
|
||||
# cjvt-srl-tagging
|
||||
We'll be using mate-tools to perform SRL on Kres.
|
||||
|
||||
|
|
|
|||
|
|
@ -13,10 +13,10 @@ from multiprocessing import Pool
|
|||
|
||||
# parse config
|
||||
config = configparser.ConfigParser()
|
||||
config.read("tools.cfg")
|
||||
ORIGPATH = Path(config["tools"]["giga"])
|
||||
INPATH = Path(config["tools"]["giga_srl"])
|
||||
OUTPATH = Path(config["tools"]["giga_json"])
|
||||
config.read("tools.cfg.ssj500k2.3")
|
||||
ORIGPATH = Path(config["tools"]["ssj500k_orig_folder"])
|
||||
INPATH = Path(config["tools"]["ssj500k_srl"])
|
||||
OUTPATH = Path(config["tools"]["ssj500k_json"])
|
||||
INTERNAL_DATA = Path(config["tools"]["internal_data"])
|
||||
DEBUG = config["tools"]["debug"] == "True"
|
||||
CPU_CORES = int(config["tools"]["cpu_cores"])
|
||||
|
|
@ -143,44 +143,36 @@ def handle_file(whole_input):
|
|||
print('PAUSE')
|
||||
|
||||
# look at neighbouring sentences if they are correct
|
||||
for i in range(100):
|
||||
sentence, sentence_arr = next(gen)
|
||||
# orig_sentence = " ".join(token[2] for token in e["tokens"])
|
||||
if sentence == orig_val["text"]:
|
||||
# if i != 10 and i != 0:
|
||||
# print('OK!')
|
||||
sid = orig_id
|
||||
sentence, sentence_arr = next(gen)
|
||||
# orig_sentence = " ".join(token[2] for token in e["tokens"])
|
||||
assert sentence.replace(' ', '') == orig_val['text']
|
||||
# if i != 10 and i != 0:
|
||||
# print('OK!')
|
||||
sid = orig_id
|
||||
|
||||
outdata[sid] = []
|
||||
outdata[sid] = []
|
||||
|
||||
# find all predicate indices in the sentence
|
||||
predicates = []
|
||||
for token in sentence_arr:
|
||||
if token[12] == "Y":
|
||||
predicates += [token[0]] # idx
|
||||
# find all predicate indices in the sentence
|
||||
predicates = []
|
||||
for token in sentence_arr:
|
||||
if token[12] == "Y":
|
||||
predicates += [token[0]] # idx
|
||||
|
||||
deprel = get_dep_rel(token)
|
||||
if deprel is not None:
|
||||
outdata[sid].append(deprel)
|
||||
deprel = get_dep_rel(token)
|
||||
if deprel is not None:
|
||||
outdata[sid].append(deprel)
|
||||
|
||||
# deprel["from"] points to n-th predicate
|
||||
# replace with predicate's token index
|
||||
for deprel in outdata[sid]:
|
||||
deprel["from"] = predicates[deprel["from"]]
|
||||
# deprel["from"] points to n-th predicate
|
||||
# replace with predicate's token index
|
||||
for deprel in outdata[sid]:
|
||||
deprel["from"] = predicates[deprel["from"]]
|
||||
|
||||
if DEBUG:
|
||||
print(to_sentence(sentence_arr))
|
||||
print(outdata[sid])
|
||||
print(sid)
|
||||
print()
|
||||
print()
|
||||
break
|
||||
else:
|
||||
if i == 99:
|
||||
mismatch_sentences += 1
|
||||
sid = orig_id
|
||||
outdata[sid] = []
|
||||
gen = srl_multiple_files_sentences_generator(sentence_id + sentence_i)
|
||||
if DEBUG:
|
||||
print(to_sentence(sentence_arr))
|
||||
print(outdata[sid])
|
||||
print(sid)
|
||||
print()
|
||||
print()
|
||||
|
||||
if mismatch_sentences > 0:
|
||||
if mismatch_sentences / len(orig_dict.items()) < 0.1:
|
||||
|
|
|
|||
47
tools/gen_tei.py
Normal file
47
tools/gen_tei.py
Normal file
|
|
@ -0,0 +1,47 @@
|
|||
# parse config
|
||||
import configparser
|
||||
import json
|
||||
import logging
|
||||
import os
|
||||
from pathlib import Path
|
||||
|
||||
from tools.parser.parser import Parser
|
||||
|
||||
config = configparser.ConfigParser()
|
||||
config.read("tools.cfg.ssj500k2.3")
|
||||
ORIGPATH = Path(config["tools"]["ssj500k_orig_folder"])
|
||||
JSONPATH = Path(config["tools"]["ssj500k_json"] + '/ssj500k-sl.body.json')
|
||||
OUTPATH = Path(config["tools"]["ssj500k_tei"])
|
||||
INTERNAL_DATA = Path(config["tools"]["internal_data"])
|
||||
DEBUG = config["tools"]["debug"] == "True"
|
||||
CPU_CORES = int(config["tools"]["cpu_cores"])
|
||||
|
||||
LOGFILE = Path(config["tools"]["logfile"]).absolute()
|
||||
LOGFILE.touch(exist_ok=True)
|
||||
LOGFILE.resolve()
|
||||
|
||||
logging.basicConfig(filename=str(LOGFILE), level=logging.INFO)
|
||||
|
||||
|
||||
par = Parser()
|
||||
OUTPATH.mkdir(exist_ok=True)
|
||||
|
||||
jsondata = []
|
||||
with open(JSONPATH, 'r') as jf:
|
||||
jsondata = json.load(jf)
|
||||
|
||||
logging.info("Generating TEI with annotated SRL.")
|
||||
|
||||
def handle_file(file, jsondata):
|
||||
teifile = (ORIGPATH / file)
|
||||
resfile = (OUTPATH / file)
|
||||
|
||||
orig_dict = par.parse_tei(teifile)
|
||||
|
||||
# origfile = get_origfile()
|
||||
orig_dict = par.minimize_tei(teifile, jsondata)
|
||||
|
||||
origfiles = []
|
||||
for subdir, dirs, files in os.walk(ORIGPATH):
|
||||
for file in files:
|
||||
handle_file(file, jsondata)
|
||||
|
|
@ -16,7 +16,8 @@ par = Parser()
|
|||
|
||||
# path to data
|
||||
config = configparser.ConfigParser()
|
||||
config.read("tools.cfg")
|
||||
# config.read("tools.cfg")
|
||||
config.read("tools.cfg.ssj500k2.3")
|
||||
analysis = ''
|
||||
if 'kres_orig' in config["tools"]:
|
||||
analysis = 'kres'
|
||||
|
|
@ -31,6 +32,14 @@ elif 'giga_orig' in config["tools"]:
|
|||
OUTDIR = Path(config["tools"]["giga_tsv"])
|
||||
GIGA_PARTS = int(config["tools"]["giga_parts"])
|
||||
INTERNAL_DATA = config["tools"]["internal_data"]
|
||||
elif 'ssj500k_orig' in config["tools"]:
|
||||
# analysis = 'gigafida'
|
||||
analysis = 'ssj500k'
|
||||
INDIR_SSJ500K_ORIG = Path(config["tools"]["ssj500k"])
|
||||
INDIR_SSJ500K = Path(config["tools"]["ssj500k_orig"])
|
||||
INDIR_JOS = Path(config["tools"]["ssj500k_jos"])
|
||||
OUTDIR = Path(config["tools"]["ssj500k_tsv"])
|
||||
INTERNAL_DATA = config["tools"]["internal_data"]
|
||||
|
||||
CPU_CORES = int(config["tools"]["cpu_cores"])
|
||||
|
||||
|
|
@ -49,40 +58,40 @@ print("end parsing ssj")
|
|||
"""
|
||||
|
||||
# kres_file = "../data/kres_example/F0019343.xml.parsed.xml"
|
||||
OUTDIR.mkdir(exist_ok=True)
|
||||
# OUTDIR.mkdir(exist_ok=True)
|
||||
|
||||
if analysis == 'kres':
|
||||
infiles = list(enumerate([x for x in INDIR.iterdir() if x.is_file()]))
|
||||
logging.info("Parsing kres: {} files.".format(len(infiles)))
|
||||
|
||||
def handle_file(infile):
|
||||
i = infile[0]
|
||||
kres_file = infile[1]
|
||||
outfile = (OUTDIR / kres_file.name).with_suffix(".tsv")
|
||||
|
||||
def handle_ssj500k_file():
|
||||
kres_file = INDIR_SSJ500K_ORIG
|
||||
outfile = OUTDIR
|
||||
|
||||
if outfile.is_file():
|
||||
logging.info("Skipping existing file: {}.".format(str(kres_file)))
|
||||
return True
|
||||
|
||||
try:
|
||||
res_dict = par.parse_tei(kres_file)
|
||||
kres_out_str = ""
|
||||
for _, sentence in res_dict.items():
|
||||
kres_out_str += par.to_conll_2009_SRL(sentence)
|
||||
except Exception as exc:
|
||||
logging.info("Failed processing file: {}".format(str(kres_file)))
|
||||
logging.error(exc)
|
||||
return False
|
||||
# try:
|
||||
res_dict = par.parse_tei(kres_file)
|
||||
kres_out_str = ""
|
||||
for _, sentence in res_dict.items():
|
||||
kres_out_str += par.to_conll_2009_SRL(sentence)
|
||||
# except Exception as exc:
|
||||
# logging.info("Failed processing file: {}".format(str(kres_file)))
|
||||
# logging.error(exc)
|
||||
# return False
|
||||
|
||||
|
||||
with outfile.open("wb+") as fp:
|
||||
fp.write(kres_out_str.encode("utf-8"))
|
||||
logging.info("Processed file ({}/{}): {}".format(i+1, len(infiles), str(kres_file)))
|
||||
# logging.info("Processed file ({}/{}): {}".format(i+1, len(infiles), str(kres_file)))
|
||||
return True
|
||||
return False
|
||||
|
||||
def giga_orig_generator():
|
||||
with open(INDIR_GIGA, 'r') as gof:
|
||||
def ssj500k_orig_generator():
|
||||
with open(INDIR_SSJ500K, 'r') as gof:
|
||||
previous_new_line = False
|
||||
for l_gof in gof:
|
||||
if l_gof == '\n':
|
||||
|
|
@ -104,12 +113,6 @@ def handle_gigafida_file():
|
|||
# pass
|
||||
# num_lines = i + 1
|
||||
# print(num_lines)
|
||||
num_lines = 1393184026
|
||||
# 1393184026
|
||||
# 1393184033
|
||||
# return
|
||||
num_lines_per_part = num_lines / GIGA_PARTS
|
||||
curr_part = 0
|
||||
gof_generator = giga_orig_generator()
|
||||
# with open(INDIR_GIGA, 'r') as gof:
|
||||
with open(INDIR_JOS, 'r') as gjf:
|
||||
|
|
@ -168,6 +171,70 @@ def handle_gigafida_file():
|
|||
curr_part += 1
|
||||
wf.close()
|
||||
|
||||
|
||||
def handle_ssj500k_file2():
|
||||
"""
|
||||
File that splits big text file into more minor files. Only split on empty lines.
|
||||
"""
|
||||
gof_generator = ssj500k_orig_generator()
|
||||
# with open(INDIR_GIGA, 'r') as gof:
|
||||
with open(INDIR_JOS, 'r') as gjf:
|
||||
sentence = {}
|
||||
sentence['tokens'] = []
|
||||
sentence['links'] = {}
|
||||
if os.path.exists(os.path.join(OUTDIR, 'giga%07d.tsv' % 0)):
|
||||
ignore_lines = True
|
||||
wf = False
|
||||
else:
|
||||
wf = open(os.path.join(OUTDIR, 'giga%07d.tsv' % curr_part), 'a')
|
||||
ignore_lines = False
|
||||
# for i, (l_gof, l_gjf) in enumerate(zip(gof, gjf)):
|
||||
for i, l_gjf in enumerate(gjf):
|
||||
l_gof = next(gof_generator)
|
||||
if ignore_lines:
|
||||
if i > num_lines_per_part * curr_part and l_gof == '\n':
|
||||
if not os.path.exists(os.path.join(OUTDIR, 'giga%07d.tsv' % (curr_part + 2))):
|
||||
ignore_lines = False
|
||||
# delete last file (probably not whole)
|
||||
os.remove(os.path.join(OUTDIR, 'giga%07d.tsv' % (curr_part + 1)))
|
||||
if ignore_lines:
|
||||
print(curr_part)
|
||||
curr_part += 1
|
||||
continue
|
||||
else:
|
||||
continue
|
||||
l_gof_split = l_gof.split('\t')
|
||||
l_gjf_split = l_gjf.split('\t')
|
||||
|
||||
# if punctuation
|
||||
if l_gof != '\n':
|
||||
if l_gof_split[1][-1] == 'u':
|
||||
# print(l_gjf_split)
|
||||
sentence['tokens'].append(('c', l_gjf_split[0], l_gjf_split[1]))
|
||||
else:
|
||||
sentence['tokens'].append(('w', l_gjf_split[0], l_gof_split[0], l_gof_split[1][:-2], l_gof_split[3][:-1]))
|
||||
|
||||
sentence['links'][l_gjf_split[0]] = (l_gjf_split[7], l_gjf_split[0], l_gjf_split[6])
|
||||
|
||||
# if l_gof == '\n':
|
||||
else:
|
||||
if wf:
|
||||
# print(i)
|
||||
wf.write(par.to_conll_2009_SRL(sentence))
|
||||
sentence['tokens'] = []
|
||||
sentence['links'] = {}
|
||||
# wf.flush()
|
||||
# if i > num_lines_per_part * (curr_part + 1) and l_gof == '\n':
|
||||
if i > num_lines_per_part * (curr_part + 1):
|
||||
curr_part += 1
|
||||
# if wf doesn't exist (first one)
|
||||
if wf:
|
||||
wf.close()
|
||||
wf = open(os.path.join(OUTDIR, 'giga%07d.tsv' % curr_part), 'a')
|
||||
curr_part += 1
|
||||
wf.close()
|
||||
|
||||
|
||||
import time
|
||||
def handle_giga_file(ran):
|
||||
"""
|
||||
|
|
@ -347,31 +414,9 @@ def handle_giga_file_selected_sentences(error_sentences):
|
|||
# curr_part += 1
|
||||
wf.close()
|
||||
|
||||
file_indices = set(range(0, 100000))
|
||||
with open(os.path.join(INTERNAL_DATA, 'diffs_updated_gigafida.pkl'), 'rb') as pkl_file:
|
||||
file_indices = set(pickle.load(pkl_file))
|
||||
|
||||
with Pool(CPU_CORES) as p:
|
||||
if analysis == 'kres':
|
||||
p.map(handle_file, infiles)
|
||||
elif analysis == 'gigafida':
|
||||
handle_gigafida_file()
|
||||
elif analysis == 'giga':
|
||||
final_range = [0, 100000]
|
||||
size_per_proc = (final_range[1] - final_range[0]) / CPU_CORES
|
||||
# splits = [int(final_range[0] + size_per_proc) for i in range(CPU_CORES)]
|
||||
ranges = []
|
||||
ps = None
|
||||
for i in range(CPU_CORES):
|
||||
s = int(final_range[0] + size_per_proc * i)
|
||||
ns = int(final_range[0] + size_per_proc * (i + 1))
|
||||
ranges.append([s, ns])
|
||||
# ranges = [[0, 1]]
|
||||
|
||||
# p.map(handle_giga_file, ranges)
|
||||
# p.map(handle_giga_file, ranges)
|
||||
error_sentences = [line.rstrip('\n') for line in open(os.path.join(INTERNAL_DATA, 'sentences_with_less_than_token.txt'))]
|
||||
handle_giga_file_selected_sentences(set(error_sentences))
|
||||
handle_ssj500k_file()
|
||||
|
||||
|
||||
logging.info("end parsing kres")
|
||||
|
|
|
|||
|
|
@ -1,3 +1,5 @@
|
|||
import copy
|
||||
|
||||
from lxml import etree
|
||||
import re
|
||||
from parser.msd.msdmap import Msdmap
|
||||
|
|
@ -5,6 +7,7 @@ import pickle
|
|||
from pathlib import Path
|
||||
from fillpred_model.step1 import build_model_row
|
||||
import sys
|
||||
import xml.etree.ElementTree as ET
|
||||
|
||||
class Parser:
|
||||
# reads a TEI xml file and returns a dictionary:
|
||||
|
|
@ -29,17 +32,23 @@ class Parser:
|
|||
def parse_tei(self, filepath):
|
||||
|
||||
def parse_links(s_el):
|
||||
lgrps = s_el.findall(".//links")
|
||||
sent_id = '#' + s_el.get('id')
|
||||
lgrps = s_el.findall(".//linkGrp")
|
||||
if len(lgrps) < 1:
|
||||
raise IOError("Can't find links.")
|
||||
res_links = {}
|
||||
for link in lgrps[0]:
|
||||
dep = int(link.get("dep").split(".")[-1])
|
||||
res_links[dep] = (
|
||||
link.get("afun"),
|
||||
dep,
|
||||
int(link.get("from").split(".")[-1]),
|
||||
)
|
||||
for lgrp in lgrps:
|
||||
if lgrp.get("type") == "JOS-SYN":
|
||||
for link in lgrp:
|
||||
jos_type = link.get("ana").split(":")[-1]
|
||||
link_data = link.get("target").split(" ")
|
||||
link_from = int(link_data[1].split('.')[-1][1:])
|
||||
link_to = int(link_data[0].split('.')[-1][1:]) if sent_id != link_data[0] else 0
|
||||
res_links[link_from] = (
|
||||
jos_type,
|
||||
link_from,
|
||||
link_to,
|
||||
)
|
||||
return res_links
|
||||
|
||||
guess_corpus = None # SSJ | KRES
|
||||
|
|
@ -79,6 +88,11 @@ class Parser:
|
|||
|
||||
# parse sentences
|
||||
for s in p.findall(".//s"):
|
||||
# test if sentence has jos-syn annotations and doesn't have SRL
|
||||
sent_annot_type_list = [links.get('type') for links in s.findall(".//linkGrp")]
|
||||
if 'JOS-SYN' not in sent_annot_type_list or 'UD-SYN' not in sent_annot_type_list or 'SRL' in sent_annot_type_list:
|
||||
continue
|
||||
|
||||
s_id = s.get("id").split(".")[-1]
|
||||
sentence_text = ""
|
||||
sentence_list = []
|
||||
|
|
@ -87,21 +101,29 @@ class Parser:
|
|||
# parse tokens
|
||||
for el in s.iter():
|
||||
if el.tag in self.W_TAGS:
|
||||
if guess_corpus != "GIGA":
|
||||
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 += [(
|
||||
"w",
|
||||
int(el_id),
|
||||
el.text,
|
||||
el.get("lemma"),
|
||||
(el.get("msd") if guess_corpus == "KRES" or guess_corpus == "GIGA"
|
||||
else el.get("ana").split(":")[-1]),
|
||||
)]
|
||||
else:
|
||||
sentence_list.append(el.text)
|
||||
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
|
||||
uPosTag = None
|
||||
uPosFeats = []
|
||||
for msd_el in el.get("msd").split('|'):
|
||||
key, val = msd_el.split('=')
|
||||
if key == 'UPosTag':
|
||||
uPosTag = val
|
||||
else:
|
||||
uPosFeats.append(msd_el)
|
||||
uPosFeats = '|'.join(uPosFeats)
|
||||
sentence_tokens += [(
|
||||
"w",
|
||||
int(el_id),
|
||||
el.text,
|
||||
el.get("lemma"),
|
||||
(el.get("msd") if guess_corpus == "KRES" or guess_corpus == "GIGA"
|
||||
else el.get("ana").split(":")[-1]),
|
||||
uPosTag,
|
||||
uPosFeats
|
||||
)]
|
||||
elif el.tag in self.C_TAGS:
|
||||
# only Kres' C_TAGS have ids
|
||||
if guess_corpus != "GIGA":
|
||||
|
|
@ -110,33 +132,243 @@ class Parser:
|
|||
sentence_text += el.text
|
||||
sentence_tokens += [("c", el_id, el.text,)]
|
||||
elif el.tag in self.S_TAGS:
|
||||
# Kres' <S /> doesn't contain .text
|
||||
if guess_corpus == "GIGA":
|
||||
sentence_list.append(el.text)
|
||||
else:
|
||||
sentence_text += " "
|
||||
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
|
||||
uPosTag = None
|
||||
uPosFeats = []
|
||||
for msd_el in el.get("msd").split('|'):
|
||||
key, val = msd_el.split('=')
|
||||
if key == 'UPosTag':
|
||||
uPosTag = val
|
||||
else:
|
||||
uPosFeats.append(msd_el)
|
||||
uPosFeats = '|'.join(uPosFeats)
|
||||
sentence_tokens += [(
|
||||
"pc",
|
||||
int(el_id),
|
||||
el.text,
|
||||
el.text,
|
||||
(el.get("msd") if guess_corpus == "KRES" or guess_corpus == "GIGA"
|
||||
else el.get("ana").split(":")[-1]),
|
||||
uPosTag,
|
||||
uPosFeats
|
||||
)]
|
||||
else:
|
||||
# pass links and linkGroups
|
||||
pass
|
||||
sentence_id = "{}.{}.{}".format(f_id, p_id, s_id)
|
||||
sentence_id = s.get("id")
|
||||
if sentence_id in res_dict:
|
||||
raise KeyError("duplicated id: {}".format(sentence_id))
|
||||
if guess_corpus == "GIGA":
|
||||
res_dict[sentence_id] = {
|
||||
"sid": sentence_id,
|
||||
"text": ' '.join(sentence_list),
|
||||
"tokens": None,
|
||||
"links": None
|
||||
}
|
||||
else:
|
||||
res_dict[sentence_id] = {
|
||||
"sid": sentence_id,
|
||||
"text": sentence_text,
|
||||
"tokens": sentence_tokens,
|
||||
"links": (
|
||||
parse_links(s) if guess_corpus == "KRES" else None
|
||||
)
|
||||
}
|
||||
|
||||
res_dict[sentence_id] = {
|
||||
"sid": sentence_id,
|
||||
"text": sentence_text,
|
||||
"tokens": sentence_tokens,
|
||||
"links": (
|
||||
parse_links(s)
|
||||
)
|
||||
}
|
||||
fp.close()
|
||||
return res_dict
|
||||
|
||||
|
||||
def minimize_tei(self, filepath, jsondata):
|
||||
def set_xml_attr(node, attribute, value):
|
||||
node.attrib['{http://www.w3.org/XML/1998/namespace}' + attribute] = value
|
||||
|
||||
def parse_links(s_el):
|
||||
sent_id = '#' + s_el.get('id')
|
||||
lgrps = s_el.findall(".//linkGrp")
|
||||
if len(lgrps) < 1:
|
||||
raise IOError("Can't find links.")
|
||||
res_links = {}
|
||||
for lgrp in lgrps:
|
||||
if lgrp.get("type") == "JOS-SYN":
|
||||
for link in lgrp:
|
||||
jos_type = link.get("ana").split(":")[-1]
|
||||
link_data = link.get("target").split(" ")
|
||||
link_from = int(link_data[1].split('.')[-1][1:])
|
||||
link_to = int(link_data[0].split('.')[-1][1:]) if sent_id != link_data[0] else 0
|
||||
res_links[link_from] = (
|
||||
jos_type,
|
||||
link_from,
|
||||
link_to,
|
||||
)
|
||||
return res_links
|
||||
|
||||
guess_corpus = None # SSJ | KRES
|
||||
res_dict = {}
|
||||
# with filepath.open("rb") as fp, open("../data/ssj500k2.3/final_tei/res.xml", 'w') as sf:
|
||||
with filepath.open("rb") as fp:
|
||||
used_ssj_documents = set([k.split('.')[0] for k, v in jsondata.items()])
|
||||
used_ssj_paragraphs = set(['.'.join(k.split('.')[:-1]) for k, v in jsondata.items()])
|
||||
used_ssj_sentences = set([k for k, v in jsondata.items()])
|
||||
|
||||
ET.register_namespace("", "http://www.tei-c.org/ns/1.0")
|
||||
tree = ET.parse(fp)
|
||||
root_res = tree.getroot()
|
||||
# root_res = copy.deepcopy(root)
|
||||
ns = '{http://www.w3.org/XML/1998/namespace}'
|
||||
ns2 = '{http://www.tei-c.org/ns/1.0}'
|
||||
|
||||
for doc in list(root_res):
|
||||
doc_id = doc.get(ns + 'id')
|
||||
if doc_id not in used_ssj_documents:
|
||||
root_res.remove(doc)
|
||||
continue
|
||||
|
||||
for par in list(doc):
|
||||
par_id = par.get(ns + 'id')
|
||||
if par_id not in used_ssj_paragraphs:
|
||||
if par.tag != ns2 + 'bibl':
|
||||
doc.remove(par)
|
||||
continue
|
||||
|
||||
for sen in list(par):
|
||||
sen_id = sen.get(ns + 'id')
|
||||
if sen_id not in used_ssj_sentences:
|
||||
par.remove(sen)
|
||||
continue
|
||||
|
||||
linkGrp = ET.Element(f'{ns2}linkGrp')
|
||||
|
||||
linkGrp.attrib[f'targFunc'] = 'head argument'
|
||||
linkGrp.attrib[f'type'] = 'SRL'
|
||||
|
||||
for srl_el in jsondata[sen_id]:
|
||||
link = ET.Element(f'{ns2}link')
|
||||
link.attrib['ana'] = f'srl:{srl_el["arg"]}'
|
||||
link.attrib['target'] = f'#{sen_id}.t{srl_el["from"]} #{sen_id}.t{srl_el["dep"]}'
|
||||
linkGrp.append(link)
|
||||
sen.append(linkGrp)
|
||||
|
||||
|
||||
# <linkGrp corresp="#ssj1.1.1" targFunc="head argument" type="SRL">
|
||||
# <link ana="srl:TIME" target="#ssj1.1.1.t6 #ssj1.1.1.t3"/>
|
||||
# <link ana="srl:QUANT" target="#ssj1.1.1.t6 #ssj1.1.1.t5"/>
|
||||
# <link ana="srl:TIME" target="#ssj1.1.1.t8 #ssj1.1.1.t11"/>
|
||||
# <link ana="srl:PAT" target="#ssj1.1.1.t23 #ssj1.1.1.t21"/>
|
||||
# <link ana="srl:ACT" target="#ssj1.1.1.t23 #ssj1.1.1.t22"/>
|
||||
# <link ana="srl:RESLT" target="#ssj1.1.1.t18 #ssj1.1.1.t23"/>
|
||||
# </linkGrp>
|
||||
# print('aaa')
|
||||
|
||||
# sf.write(etree.tostring(tree, pretty_print=True, encoding='utf-8').decode())
|
||||
tree.write("../data/ssj500k2.3/final_tei/res.xml", encoding='utf-8')
|
||||
|
||||
return
|
||||
divs = [] # in ssj, there are divs, in Kres, there are separate files
|
||||
if "id" in root.keys():
|
||||
# Kres files start with <TEI id=...>
|
||||
if root.get("id")[0:2] == 'GF':
|
||||
guess_corpus = "GIGA"
|
||||
else:
|
||||
guess_corpus = "KRES"
|
||||
divs = [root]
|
||||
else:
|
||||
guess_corpus = "SSJ"
|
||||
divs = root.findall(".//div")
|
||||
|
||||
# parse divs
|
||||
for div in divs:
|
||||
f_id = div.get("id")
|
||||
|
||||
if guess_corpus == "GIGA":
|
||||
div = div.findall(".//body")[0]
|
||||
|
||||
# parse paragraphs
|
||||
for p in div.findall(".//p"):
|
||||
p_id = p.get("id").split(".")[-1]
|
||||
|
||||
# parse sentences
|
||||
for s in p.findall(".//s"):
|
||||
# test if sentence has jos-syn annotations and doesn't have SRL
|
||||
sent_annot_type_list = [links.get('type') for links in s.findall(".//linkGrp")]
|
||||
if 'JOS-SYN' not in sent_annot_type_list or 'UD-SYN' not in sent_annot_type_list or 'SRL' in sent_annot_type_list:
|
||||
del s
|
||||
continue
|
||||
|
||||
s_id = s.get("id").split(".")[-1]
|
||||
sentence_text = ""
|
||||
sentence_list = []
|
||||
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
|
||||
uPosTag = None
|
||||
uPosFeats = []
|
||||
for msd_el in el.get("msd").split('|'):
|
||||
key, val = msd_el.split('=')
|
||||
if key == 'UPosTag':
|
||||
uPosTag = val
|
||||
else:
|
||||
uPosFeats.append(msd_el)
|
||||
uPosFeats = '|'.join(uPosFeats)
|
||||
sentence_tokens += [(
|
||||
"w",
|
||||
int(el_id),
|
||||
el.text,
|
||||
el.get("lemma"),
|
||||
(el.get("msd") if guess_corpus == "KRES" or guess_corpus == "GIGA"
|
||||
else el.get("ana").split(":")[-1]),
|
||||
uPosTag,
|
||||
uPosFeats
|
||||
)]
|
||||
elif el.tag in self.C_TAGS:
|
||||
# only Kres' C_TAGS have ids
|
||||
if guess_corpus != "GIGA":
|
||||
el_id = el.get("id") or "none"
|
||||
el_id = el_id.split(".")[-1]
|
||||
sentence_text += el.text
|
||||
sentence_tokens += [("c", el_id, el.text,)]
|
||||
elif el.tag in self.S_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
|
||||
uPosTag = None
|
||||
uPosFeats = []
|
||||
for msd_el in el.get("msd").split('|'):
|
||||
key, val = msd_el.split('=')
|
||||
if key == 'UPosTag':
|
||||
uPosTag = val
|
||||
else:
|
||||
uPosFeats.append(msd_el)
|
||||
uPosFeats = '|'.join(uPosFeats)
|
||||
sentence_tokens += [(
|
||||
"pc",
|
||||
int(el_id),
|
||||
el.text,
|
||||
el.text,
|
||||
(el.get("msd") if guess_corpus == "KRES" or guess_corpus == "GIGA"
|
||||
else el.get("ana").split(":")[-1]),
|
||||
uPosTag,
|
||||
uPosFeats
|
||||
)]
|
||||
else:
|
||||
# pass links and linkGroups
|
||||
pass
|
||||
sentence_id = s.get("id")
|
||||
if sentence_id in res_dict:
|
||||
raise KeyError("duplicated id: {}".format(sentence_id))
|
||||
|
||||
res_dict[sentence_id] = {
|
||||
"sid": sentence_id,
|
||||
"text": sentence_text,
|
||||
"tokens": sentence_tokens,
|
||||
"links": (
|
||||
parse_links(s)
|
||||
)
|
||||
}
|
||||
et = etree.ElementTree(root)
|
||||
et.write("../data/ssj500k2.3/final_tei/res.xml", pretty_print=True, encoding='unicode')
|
||||
fp.close()
|
||||
return res_dict
|
||||
|
||||
|
|
@ -157,12 +389,8 @@ class Parser:
|
|||
|
||||
# handle stop signs
|
||||
if token[0] != "w":
|
||||
out_str += '\t'.join(
|
||||
[t_id] +
|
||||
[form for x in range(7)] +
|
||||
["0", "0", "modra", "modra", "_", "_"] +
|
||||
["\n"]
|
||||
)
|
||||
out_list = [t_id] + [form for x in range(7)] + ["0", "0", "modra", "modra", "_", "_"] + ["\n"]
|
||||
out_str += '\t'.join(map(str, out_list))
|
||||
continue
|
||||
|
||||
pos = self.msdmap.slo_msd_to_eng_pos(token[4])
|
||||
|
|
|
|||
30
tools/srl-20131216/tag_ssj500k2.3.sh
Executable file
30
tools/srl-20131216/tag_ssj500k2.3.sh
Executable file
|
|
@ -0,0 +1,30 @@
|
|||
#!/bin/bash
|
||||
|
||||
# parsing tools.cfg values
|
||||
IN_FOLDER="../$(sed -n -e 's/^\s*ssj500k_tsv_folder\s*=\s*//p' ../tools.cfg.ssj500k2.3)"
|
||||
IN_FOLDER=$IN_FOLDER$1
|
||||
echo "input folder: $IN_FOLDER"
|
||||
OUT_FOLDER="../$(sed -n -e 's/^\s*ssj500k_srl\s*=\s*//p' ../tools.cfg.ssj500k2.3)"
|
||||
echo "output folder: $OUT_FOLDER"
|
||||
|
||||
SUFFIX="srl.tsv"
|
||||
|
||||
mkdir -p $OUT_FOLDER
|
||||
# rm $OUT_FOLDER/*${SUFFIX} &> /dev/null
|
||||
|
||||
for infile in $IN_FOLDER/*; do
|
||||
echo "Tagging: ${infile}"
|
||||
base=$(basename $infile | cut -d'.' -f1)
|
||||
outfile=${OUT_FOLDER}/${base}.${SUFFIX}
|
||||
|
||||
# mate-tools tagger
|
||||
./scripts/parse_srl_only_mod.sh $infile $outfile
|
||||
|
||||
if [ $? -eq 0 ]; then
|
||||
echo "Saved as ${outfile}"
|
||||
else
|
||||
echo "ERR"
|
||||
exit 1
|
||||
fi
|
||||
done
|
||||
|
||||
|
|
@ -1,18 +1,13 @@
|
|||
[tools]
|
||||
giga = /media/luka/Portable Disk/Datasets/gigafida_jos/gf2_orig
|
||||
giga_orig = /media/luka/Portable Disk/Datasets/gigafida_jos/gf2-dedup.patch0001
|
||||
; giga_orig_old = /media/luka/Portable Disk/Datasets/gigafida_jos/gf2-dedup
|
||||
giga_jos = /media/luka/Portable Disk/Datasets/gigafida_jos/gf2-dedup.jos.patch0001
|
||||
giga_tsv = /media/luka/Portable Disk/Datasets/gigafida_jos/gf_files_part
|
||||
; giga_tsv = /media/luka/Portable Disk/Datasets/gigafida_jos/TEMP
|
||||
; giga_tsv = /media/luka/Portable Disk/Datasets/gigafida_jos/gf2_files_copy
|
||||
; giga_srl = /media/luka/Portable Disk/Datasets/gigafida_jos/TEMP
|
||||
giga_srl = /media/luka/Portable Disk/Datasets/gigafida_jos/2_srl
|
||||
giga_srl_errors = /media/luka/Portable Disk/Datasets/gigafida_jos/2_srl_errors/giga_errors.srl.tsv
|
||||
; giga_json = /media/luka/Portable Disk/Datasets/gigafida_jos/final_json_TEMP
|
||||
giga_json = /media/luka/Portable Disk/Datasets/gigafida_jos/final_json
|
||||
internal_data = /media/luka/Portable Disk/Datasets/gigafida_jos/internal_data
|
||||
giga = ../data/gf_example/gf2_orig
|
||||
giga_orig = ../data/gf_example/gf2-dedup.patch0001
|
||||
giga_jos = ../data/gf_example/gf2-dedup.jos.patch0001
|
||||
giga_tsv = ../data/gf_example/gf_files_part
|
||||
giga_srl = ../data/gf_example/2_srl
|
||||
;giga_srl_errors = /media/luka/Portable Disk/Datasets/gigafida_jos/2_srl_errors/giga_errors.srl.tsv
|
||||
giga_json = ../data/gf_example/final_json
|
||||
internal_data = ../data/gf_example/internal_data
|
||||
giga_parts = 100000
|
||||
logfile = ../progress.log
|
||||
cpu_cores = 16
|
||||
debug = False
|
||||
logfile = ../data/gf_example/progress.log
|
||||
cpu_cores = 1
|
||||
debug = True
|
||||
|
|
|
|||
15
tools/tools.cfg.ssj500k2.3
Normal file
15
tools/tools.cfg.ssj500k2.3
Normal file
|
|
@ -0,0 +1,15 @@
|
|||
[tools]
|
||||
ssj500k = ../data/ssj500k2.3/orig/ssj500k-sl.body.xml
|
||||
ssj500k_orig = ../data/ssj500k2.3/orig/ssj500k-sl.body.xml
|
||||
ssj500k_orig_folder = ../data/ssj500k2.3/orig
|
||||
ssj500k_jos = ../data/ssj500k2.3/orig/ssj500k-sl.body.xml
|
||||
ssj500k_tsv = ../data/ssj500k2.3/tsvs/tsvs.tsv
|
||||
ssj500k_tsv_folder = ../data/ssj500k2.3/tsvs
|
||||
ssj500k_srl = ../data/ssj500k2.3/srls
|
||||
ssj500k_json = ../data/ssj500k2.3/final_json
|
||||
ssj500k_tei = ../data/ssj500k2.3/final_tei
|
||||
internal_data = ../data/ssj500k2.3/internal_data
|
||||
;internal_data = ../data/gf_example/internal_data
|
||||
logfile = ../data/ssj500k2.3/progress.log
|
||||
cpu_cores = 1
|
||||
debug = True
|
||||
Loading…
Reference in New Issue
Block a user