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transform.py
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import sys
import threading
from pathlib import Path
import argparse
parser = argparse.ArgumentParser(description='Transformation Conll to Conll++')
parser.add_argument('-corpus', type=str, default="UD_FRENCH", help='The input corpus')
parser.add_argument('-verbose', type=bool, default=False, help='Verbose')
args = parser.parse_args()
# CORPUS = "macaon2-conll"
CORPUS = "UD_FRENCH"
INPUT = "in/" + CORPUS + "/"
OUTPUT = "out/" + CORPUS + "/"
Path(OUTPUT).mkdir(parents=True, exist_ok=True)
DATA = {
"macaon2-conll": {
"dev": "ftb.dev.conll07",
"test": "ftb.test.conll07",
"train": "ftb.train.conll07",
},
"UD_FRENCH": {
"dev": "fr_gsd-ud-dev.conllu",
"test": "fr_gsd-ud-test.conllu",
"train": "fr_gsd-ud-train.conllu",
},
}
# Pronom Personnel
PPER = {
"je": "PPER1S",
"j'": "PPER1S",
"tu": "PPER2S",
"il": "PPER3MS",
"l'": "PPER3MS",
"elle": "PPER3FS",
"nous": "PPER1P",
"vous": "PPER2P",
"ils": "PPER3MP",
"elles": "PPER3FP",
}
# COI = {
# "me": "PPOBJS",
# }
# Return the corresponding corpus
def get(name):
return DATA[CORPUS][name]
# Process in a separated thread
def process(FILE):
print(FILE)
output_file = open(OUTPUT + FILE, "w")
# Open It
with open(INPUT + FILE) as f:
# Read each line
for line in f:
# Split the line
row = line.replace('\n','').split('\t')
# print(row)
if len(row) < 4:
output_file.write(line)
continue
else:
token = row[3]
if args.verbose == True:
print("Before: " + token)
if len(row) >= 6 and "Gender=" in row[5] and "Number=" in row[5]:
infos = dict(p.split('=') for p in row[5].split('|'))
# print(infos)
genre = infos["Gender"].upper()[0]
nombre = infos["Number"].upper()[0]
# Déterminant
if token == "DET":
if "Definite" in infos:
definite = infos["Definite"]
# Déterminant
if definite == "Def":
token = "DET" + genre + nombre
# Déterminant indéfini
elif definite == "Ind":
token = "DINT" + genre + nombre
# Pronom démonstratif
elif "PronType" in infos:
pronType = infos["PronType"]
# print(row)
if pronType == "Dem":
token = "PDEM" + genre + nombre
# Adjectifs
elif token == "ADJ":
token = "ADJ" + genre + nombre
# Préposition
elif token == "ADP":
token = "PREP"
# Noms
elif token == "NOUN":
token = "N" + genre + nombre
# Pronom
elif token == "PRON":
pronType = infos["PronType"]
# Pronom démonstratif
if pronType == "Dem":
token = "PDEM" + genre + nombre
# Pronom indéfini
elif pronType == "Ind":
token = "PIND" + genre + nombre
# Pronom interrogatif
elif pronType == "Int":
token = "PINT" + genre + nombre
# Pronom relatif
elif pronType == "Rel":
# print("inside")
token = "PREL" + genre + nombre
# Pronom personnel
elif pronType == "Prs":
# print(row)
# Pronom personnel
if row[1].lower().replace('-','') in PPER:
token = PPER[row[1].lower().replace('-','')]
# Pronom objet
# clear && python transform.py | sort | uniq
else:
print("PPOBJ: " + row[1].lower())
token = "PPOBJ" + genre + nombre
# Verbe
elif token == "VERB":
verbForm = infos["VerbForm"]
# Particpe
if verbForm == "Part":
tense = infos["Tense"]
# Particpe passé
if tense == "Past":
token = "VPP" + genre + nombre
# Particpe présent
elif tense == "Pres":
token = "VPPRE"
# Nombre
elif token == "NUM":
token = "CHIF"
# Conjonction de coordination
elif token == "CCONJ":
token = "COCO"
# Conjonction subordonnée
elif token == "SCONJ":
token = "COSUB"
# Préposition
elif token == "ADP":
token = "PREP"
# Pronom
elif token == "PRON":
# print(row)
infos = dict(p.split('=') for p in row[5].split('|'))
pronType = infos["PronType"]
# Pronom personnel
if pronType == "Prs":
# possPerson = infos["PossPerson"]
pronm = row[1].lower().replace('-','')
# Singulier
if pronm in ["me","m'","te","t'"]:
token = "PREFS"
# Pluriel
elif pronm in ["vous","nous"]:
token = "PREFP"
# s' et se
elif pronm in ["s'","se"]:
token = "PREF"
# Pronom personnel
elif pronm in list(PPER.keys()):
token = PPER[pronm]
# Pronom objet
# clear && python transform.py | sort | uniq
else:
print("PRN OBJ: " + pronm)
# print(row)
token = "PPOBJ" + genre + nombre
# if pronm == "me" or pronm == "m'":
# token = "PREF"
# elif pronm == "me" or pronm == "m'":
# # Pronom réfléchi
# if int(possPerson) == 3:
# Pronom relatif
if pronType == "Rel":
token = "PREL"
# Nom de famille
elif token == "PROPN":
flat = row[7]
if flat == "flat:name":
token = "XFAMIL"
# Ponctuation
elif token == "PUNCT":
punct = row[1]
if punct == "/":
token = "YPFAI"
elif punct == ".":
token = "YPFOR"
# Motif inconnu
elif token == "X":
token = "MOTINC"
# else:
# print("Nothing changed")
if args.verbose == True:
print("After : " + token + "\n")
# row[4] = token
row[3] = token
output_line = str('\t'.join(row)) + "\n"
output_file.write(output_line)
# print(line)
# print(output_line)
# sys.exit(0)
output_file.close()
# For each file
t1 = threading.Thread(target=process, args=(get("dev"),))
t1.start()
t2 = threading.Thread(target=process, args=(get("test"),))
t2.start()
t3 = threading.Thread(target=process, args=(get("train"),))
t3.start()
t1.join()
t2.join()
t3.join()
print("Finished!")