-
Notifications
You must be signed in to change notification settings - Fork 0
/
mwt_script.py
216 lines (192 loc) · 11.8 KB
/
mwt_script.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
import re
import numpy as np
import csv
import random
mwt_strings = []
starter = """# sent_id = 0
# text = juntarse.
1-2 juntarse _ _ _ _ _ _ _ SpaceAfter=No
1 juntar juntar VERB _ VerbForm=Inf 0 root _ _
2 se él PRON _ Case=Acc|Person=3|PrepCase=Npr|PronType=Prs|Reflex=Yes 1 obj _ _
3 . . PUNCT _ PunctType=Peri 1 punct _ _
# sent_id = 0
# text = Juntarse.
1-2 Juntarse _ _ _ _ _ _ _ SpaceAfter=No
1 Juntar juntar VERB _ VerbForm=Inf 0 root _ _
2 se él PRON _ Case=Acc|Person=3|PrepCase=Npr|PronType=Prs|Reflex=Yes 1 obj _ _
3 . . PUNCT _ PunctType=Peri 1 punct _ _"""
mwt_strings.append(starter)
with open('verbs.txt', 'r') as file:
verbs_string = file.read()
# sample verb = '10 hace hacer VERB _ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 9 advcl _ _'
# verb_re = r'[\d]+(\t[A-Za-z]+\t[A-Za-z]+\tVERB\t_\t[A-Za-z=|0-9]*\t[\d]+\t[a-z]+\t_\t_)'
verbs_found = verbs_string.splitlines()
print('The number of verbs found was:', len(verbs_found))
for i, j, in enumerate(verbs_found):
j_new = re.sub(r'\t[\d]+', '\t0', j)
verbs_found[i] = "1" + j_new
unique_verbs = list(np.unique(verbs_found))
inf_ger_verbs = [verb for verb in unique_verbs if re.search(r'VerbForm=(?:(?:Ger)|(?:Inf))', verb) is not None]
dir_obj_add = ["2\tme\tyo\tPRON\t_\tCase=Dat|Number=Sing|Person=1|PrepCase=Npr|PronType=Prs|Reflex=Yes\t1\tiobj\t_\t_",
"2\tme\tyo\tPRON\t_\tCase=Dat|Number=Sing|Person=1|PrepCase=Npr|PronType=Prs\t1\tobj\t_\t_",
"2\tte\ttú\tPRON\t_\tCase=Dat|Number=Sing|Person=2|PrepCase=Npr|PronType=Prs|Reflex=Yes\t1\tiobj\t_\t_",
"2\tte\ttú\tPRON\t_\tCase=Dat|Number=Sing|Person=2|PrepCase=Npr|PronType=Prs\t1\tobj\t_\t_",
"2\tle\tél\tPRON\t_\tCase=Dat|Number=Sing|Person=3|PronType=Prs\t1\tobj\t_\t_",
"2\tse\tél\tPRON\t_\tCase=Acc|Person=3|PrepCase=Npr|PronType=Prs|Reflex=Yes\t1\tobj\t_\t_",
"2\tse\tél\tPRON\t_\tCase=Acc|Person=3|PrepCase=Npr|PronType=Prs\t1\tobj\t_\t_",
"2\tse\tél\tPRON\t_\tCase=Acc|Person=3|PrepCase=Npr|PronType=Prs|Reflex=Yes\t1\texpl:pv\t_\t_",
"2\tse\tél\tPRON\t_\tCase=Acc|Person=3|PrepCase=Npr|PronType=Prs\t1\texpl:pv\t_\t_",
"2\tnos\tyo\tPRON\t_\tCase=Dat|Number=Plur|Person=1|PrepCase=Npr|PronType=Prs|Reflex=Yes\t1\tiobj\t_\t_",
"2\tnos\tyo\tPRON\t_\tCase=Dat|Number=Plur|Person=1|PrepCase=Npr|PronType=Prs\t1\tobj\t_\t_",
"2\tles\tél\tPRON\t_\tCase=Dat|Number=Plur|Person=3|PronType=Prs\t1\tobj\t_\t_",
"2\tla\tél\tPRON\t_\tCase=Acc|Gender=Fem|Number=Sing|Person=3|PrepCase=Npr|PronType=Prs\t1\tobj\t_\t_",
"2\tlo\tél\tPRON\t_\tCase=Acc|Gender=Masc|Number=Sing|Person=3|PrepCase=Npr|PronType=Prs\t1\tobj\t_\t_",
"2\tlas\tél\tPRON\t_\tCase=Acc|Gender=Fem|Number=Plur|Person=3|PrepCase=Npr|PronType=Prs\t1\tobj\t_\t_",
"2\tlos\tél\tPRON\t_\tCase=Acc|Gender=Masc|Number=Plur|Person=3|PrepCase=Npr|PronType=Prs\t1\tobj\t_\t_"]
ind_obj_pron = ["2\tme\tyo\tPRON\t_\tCase=Dat|Number=Sing|Person=1|PrepCase=Npr|PronType=Prs|Reflex=Yes\t1"
"\tiobj\t_\t_ ",
"2\tte\ttú\tPRON\t_\tCase=Dat|Number=Sing|Person=2|PrepCase=Npr|PronType=Prs\t1\tiobj\t_\t_",
"2\tle\tél\tPRON\t_\tCase=Dat|Number=Sing|Person=3|PronType=Prs\t1\tiobj\t_\t_",
"2\tse\tél\tPRON\t_\tCase=Acc|Person=3|PrepCase=Npr|PronType=Prs|Reflex=Yes\t1\tiobj\t_\t_",
"2\tnos\tyo\tPRON\t_\tCase=Dat|Number=Plur|Person=1|PrepCase=Npr|PronType=Prs\t1\tiobj\t_\t_",
"2\tles\tél\tPRON\t_\tCase=Dat|Number=Sing|Person=3|PronType=Prs\t1\tiobj\t_\t_"]
ind_obj_prep = ["3\tla\tél\tPRON\t_\tCase=Acc|Gender=Fem|Number=Sing|Person=3|PrepCase=Npr|PronType=Prs\t1\tiobj\t_\t_",
"3\tlo\tél\tPRON\t_\tCase=Acc|Gender=Masc|Number=Sing|Person=3|PrepCase=Npr|PronType=Prs\t1\tiobj\t_\t_",
"3\tlas\tél\tPRON\t_\tCase=Acc|Gender=Fem|Number=Plur|Person=3|PrepCase=Npr|PronType=Prs\t1\tiobj\t_\t_",
"3\tlos\tél\tPRON\t_\tCase=Acc|Gender=Masc|Number=Plur|Person=3|PrepCase=Npr|PronType=Prs\t1\tiobj\t_\t_"]
sent_id = "# sent_id = 0"
text = "# text = "
period_dir = "3 . . PUNCT _ PunctType=Peri 1 punct _ _"
period_indir = "4 . . PUNCT _ PunctType=Peri 1 punct _ _"
verbs_list = []
accent_letter = {'a': 'á',
'e': 'é',
'i': 'í',
'o': 'ó',
'u': 'ú'}
for verb in inf_ger_verbs:
for i in range(4):
verb_matches = re.findall(r'[\d]+\t([A-Za-z]+)\t', verb)
verb_text = verb_matches[0].lower()
if verbs_list.count(verb_text) >= 4:
break
verbs_list.append(verb_text)
if random.randint(0, 3) < 1:
continue
cap = random.randint(0, 1)
if cap == 1:
capital_text = verb_text.capitalize()
capital_verb = verb.replace(verb_text, capital_text)
verb_text, verb = capital_text, capital_verb
dir_ind = random.randint(0, 1)
if dir_ind == 0:
add = random.choice(dir_obj_add)
if re.search('VerbForm=Inf', verb) is None:
verb_text = verb_text[:len(verb_text) - 4] + accent_letter[verb_text[len(verb_text) - 4]] + verb_text[len(verb_text) - 3:]
add_text = re.findall(r'[\d]+\t([A-Za-z]+)\t', add)[0]
submitted_text = text + verb_text + add_text + "."
mwt_text = "1-2\t" + verb_text + add_text + "\t_\t_\t_\t_\t_\t_\t_\tSpaceAfter=No"
text_parts = [sent_id, submitted_text, mwt_text, verb, add, period_dir]
else:
if re.search('VerbForm=Inf', verb) is None:
verb_text = verb_text[:len(verb_text) - 4] + accent_letter[verb_text[len(verb_text) - 4].lower()] + \
verb_text[len(verb_text) - 3:]
elif re.search('VerbForm=Inf', verb) is not None:
if verb_text[-1] != 'r':
break
verb_text = verb_text[:len(verb_text) - 2] + accent_letter[verb_text[len(verb_text) - 2].lower()] + \
verb_text[len(verb_text) - 1]
add_pron = random.choice(ind_obj_pron)
add_pron_text = re.findall(r'[\d]+\t([A-Za-z]+)\t', add_pron)[0]
add_prep = random.choice(ind_obj_prep)
add_prep_text = re.findall(r'[\d]+\t([A-Za-z]+)\t', add_prep)[0]
submitted_text = text + verb_text + add_pron_text + add_prep_text
mwt_text = "1-3\t" + verb_text + add_pron_text + add_prep_text + "\t_\t_\t_\t_\t_\t_\t_\tSpaceAfter=No"
text_parts = [sent_id, submitted_text, mwt_text, verb, add_pron, add_prep, period_indir]
new_entry = '\n'.join(text_parts)
if new_entry not in mwt_strings:
mwt_strings.append(new_entry)
reflex_te = ["2\tte\ttú\tPRON\t_\tCase=Dat|Number=Sing|Person=2|PrepCase=Npr|PronType=Prs|Reflex=Yes\t1\texpl:pv\t_\t_",
"2\tte\ttú\tPRON\t_\tCase=Dat|Number=Sing|Person=2|PrepCase=Npr|PronType=Prs|Reflex=Yes\t1\tiobj\t_\t_"]
reflex_se = ["2\tse\tél\tPRON\t_\tCase=Acc|Person=3|PrepCase=Npr|PronType=Prs|Reflex=Yes\t1\tobj\t_\t_",
"2\tse\tél\tPRON\t_\tCase=Acc|Person=3|PrepCase=Npr|PronType=Prs|Reflex=Yes\t1\texpl:pv\t_\t_",
"2\tse\tél\tPRON\t_\tCase=Acc|Person=3|PrepCase=Npr|PronType=Prs|Reflex=Yes\t1\tiobj\t_\t_"]
con_obj_add = ["2\tme\tyo\tPRON\t_\tCase=Dat|Number=Sing|Person=1|PrepCase=Npr|PronType=Prs\t1\tiobj\t_\t_",
"2\tte\ttú\tPRON\t_\tCase=Dat|Number=Sing|Person=2|PrepCase=Npr|PronType=Prs\t1\tiobj\t_\t_",
"2\tse\tél\tPRON\t_\tCase=Acc|Person=3|PrepCase=Npr|PronType=Prs\t1\tiobj\t_\t_",
"2\tnos\tyo\tPRON\t_\tCase=Dat|Number=Plur|Person=1|PrepCase=Npr|PronType=Prs\t1\tiobj\t_\t_"]
with open("imperatives.csv", 'r') as imperative_list:
imperative_titles = ['infinitive', 'tu', 'usted', 'ustedes']
imperative_conjugates = imperative_list.readlines()
for row in imperative_conjugates:
row_forms = row.split(',')
ustedes = row_forms[3]
row_forms[3] = ustedes[:-1]
for j in range(3):
form = random.choice(['tu', 'usted', 'ustedes'])
cap = random.randint(0, 1)
clause_type = random.choice(['advcl', 'ccomp', 'xcomp', 'nsubj', 'csubj'])
if re.search('rse', row_forms[imperative_titles.index('infinitive')]) is not None:
reflexive_verb = row_forms[imperative_titles.index('infinitive')]
infinitive_verb = reflexive_verb[:-2]
mwt_token = row_forms[imperative_titles.index(form)]
if cap == 1:
mwt_token = mwt_token.capitalize()
submitted_text = text + mwt_token + "."
mwt_text = "1-2\t" + mwt_token + "\t_\t_\t_\t_\t_\t_\t_\tSpaceAfter=No"
conj_verb = mwt_token[:-2]
conj_verb = conj_verb.replace('á', 'a').replace('é', 'e').replace('í', 'i').replace('ó', 'o').replace('ú',
'u')
if form == 'tu':
verb = "1\t" + conj_verb + "\t" + infinitive_verb + \
"\tVERB\t_\tMood=Imp|Numb=Sing|Person=2|VerbForm=Fin\t0\t" + clause_type + "\t_\t_"
add_pron = random.choice(reflex_te)
elif form == 'usted':
verb = "1\t" + conj_verb + "\t" + infinitive_verb + \
"\tVERB\t_\tMood=Imp|Numb=Sing|Person=3|VerbForm=Fin\t0\t" + clause_type + "\t_\t_"
add_pron = random.choice(reflex_se)
else:
verb = "1\t" + conj_verb + "\t" + infinitive_verb + \
"\tVERB\t_\tMood=Imp|Numb=PLur|Person=3|VerbForm=Fin\t0\t" + clause_type + "\t_\t_"
add_pron = random.choice(reflex_se)
else:
infinitive_verb = row_forms[imperative_titles.index('infinitive')]
conj_verb = row_forms[imperative_titles.index(form)]
syllables = 0
i = len(conj_verb) - 1
while i >= 0:
if conj_verb[i] in ['a', 'e', 'i', 'o', 'u']:
if conj_verb[i] == 'u' and conj_verb[i + 1] in ['e', 'i']:
pass
else:
syllables += 1
if syllables == 2:
break
i -= 1
if i >= 0:
mwt_verb = conj_verb[:i] + accent_letter[conj_verb[i].lower()] + conj_verb[i + 1:]
else:
mwt_verb = conj_verb
add_pron = random.choice(con_obj_add)
mwt_pron = re.findall(r'[\d]+\t([A-Za-z]+)\t', add_pron)[0]
mwt_token = mwt_verb + mwt_pron
if cap == 1:
mwt_token = mwt_token.capitalize()
conj_verb = conj_verb.capitalize()
submitted_text = text + mwt_token + "."
mwt_text = "1-2\t" + mwt_token + "\t_\t_\t_\t_\t_\t_\t_\tSpaceAfter=No"
if form == 'tu':
verb = "1\t" + conj_verb + "\t" + infinitive_verb + \
"\tVERB\t_\tMood=Imp|Numb=Sing|Person=2|VerbForm=Fin\t0\t" + clause_type + "\t_\t_"
elif form == 'usted':
verb = "1\t" + conj_verb + "\t" + infinitive_verb + \
"\tVERB\t_\tMood=Imp|Numb=Sing|Person=3|VerbForm=Fin\t0\t" + clause_type + "\t_\t_"
else:
verb = "1\t" + conj_verb + "\t" + infinitive_verb + \
"\tVERB\t_\tMood=Imp|Numb=PLur|Person=3|VerbForm=Fin\t0\t" + clause_type + "\t_\t_"
text_parts = [sent_id, submitted_text, mwt_text, verb, add_pron, period_dir]
new_entry = '\n'.join(text_parts)
if new_entry not in mwt_strings:
mwt_strings.append(new_entry)
with open('spanish.mwt', mode='wt', encoding='utf-8') as file:
file.write('\n\n'.join(mwt_strings))