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import os | |
import numpy as np | |
import sys | |
def build_diff(ref, hyp, path): | |
result = [] | |
ref = list(map(lambda x: x.lower(), ref)) | |
hyp = list(map(lambda x: x.lower(), hyp)) | |
r_record = -1 | |
h_record = -1 | |
# path = path+[(len(ref), len(hyp))] | |
for rpointer, hpointer in path: | |
if rpointer!=r_record+1 or hpointer!=h_record+1: | |
r_buffer = ' '.join(ref[r_record+1:rpointer]) | |
r_buffer = r_buffer if len(r_buffer)>0 else "*" | |
h_buffer = ' '.join(hyp[h_record+1:hpointer]) | |
h_buffer = h_buffer if len(h_buffer)>0 else "*" | |
result.append(f"({r_buffer}->{h_buffer})") | |
result.append(ref[rpointer]) | |
r_record = rpointer | |
h_record = hpointer | |
if r_record<len(ref)-1 or h_record<len(hyp)-1: | |
r_buffer = ' '.join(ref[r_record+1:]) | |
r_buffer = r_buffer if len(r_buffer)>0 else "*" | |
h_buffer = ' '.join(hyp[h_record+1:]) | |
h_buffer = h_buffer if len(h_buffer)>0 else "*" | |
result.append(f"({r_buffer}->{h_buffer})") | |
return ' '.join(result) | |
def compute_wer(ref_file, | |
hyp_file, | |
cer_detail_file): | |
rst = { | |
'Wrd': 0, | |
'Corr': 0, | |
'Ins': 0, | |
'Del': 0, | |
'Sub': 0, | |
'Snt': 0, | |
'Err': 0.0, | |
'S.Err': 0.0, | |
'wrong_words': 0, | |
'wrong_sentences': 0 | |
} | |
hyp_dict = {} | |
ref_dict = {} | |
with open(hyp_file, 'r') as hyp_reader: | |
for line in hyp_reader: | |
key = line.strip().split()[0] | |
value = line.strip().split()[1:] | |
hyp_dict[key] = value | |
with open(ref_file, 'r') as ref_reader: | |
for line in ref_reader: | |
key = line.strip().split()[0] | |
value = line.strip().split()[1:] | |
ref_dict[key] = value | |
cer_detail_writer = open(cer_detail_file, 'w') | |
for hyp_key in hyp_dict: | |
if hyp_key in ref_dict: | |
out_item = compute_wer_by_line(hyp_dict[hyp_key], ref_dict[hyp_key]) | |
# if out_item['ins'] > 10 or out_item['del'] > 10: | |
# print(hyp_key + print_cer_detail(out_item)) | |
# print("ref:" + '\t' + " ".join(list(map(lambda x: x.lower(), ref_dict[hyp_key])))) | |
# print("hyp:" + '\t' + " ".join(list(map(lambda x: x.lower(), hyp_dict[hyp_key])))) | |
rst['Wrd'] += out_item['nwords'] | |
rst['Corr'] += out_item['cor'] | |
rst['wrong_words'] += out_item['wrong'] | |
rst['Ins'] += out_item['ins'] | |
rst['Del'] += out_item['del'] | |
rst['Sub'] += out_item['sub'] | |
rst['Snt'] += 1 | |
if out_item['wrong'] > 0: | |
rst['wrong_sentences'] += 1 | |
cer_detail_writer.write(hyp_key + print_cer_detail(out_item) + '\n') | |
cer_detail_writer.write("ref:" + '\t' + " ".join(list(map(lambda x: x.lower(), ref_dict[hyp_key]))) + '\n') | |
cer_detail_writer.write("hyp:" + '\t' + " ".join(list(map(lambda x: x.lower(), hyp_dict[hyp_key]))) + '\n') | |
cer_detail_writer.write("diff:" + '\t' + build_diff(ref_dict[hyp_key], hyp_dict[hyp_key], out_item['path']) + '\n') | |
if rst['Wrd'] > 0: | |
rst['Err'] = round(rst['wrong_words'] * 100 / rst['Wrd'], 2) | |
if rst['Snt'] > 0: | |
rst['S.Err'] = round(rst['wrong_sentences'] * 100 / rst['Snt'], 2) | |
cer_detail_writer.write('\n') | |
cer_detail_writer.write("%WER " + str(rst['Err']) + " [ " + str(rst['wrong_words'])+ " / " + str(rst['Wrd']) + | |
", " + str(rst['Ins']) + " ins, " + str(rst['Del']) + " del, " + str(rst['Sub']) + " sub ]" + '\n') | |
cer_detail_writer.write("%SER " + str(rst['S.Err']) + " [ " + str(rst['wrong_sentences']) + " / " + str(rst['Snt']) + " ]" + '\n') | |
cer_detail_writer.write("Scored " + str(len(hyp_dict)) + " sentences, " + str(len(hyp_dict) - rst['Snt']) + " not present in hyp." + '\n') | |
def compute_wer_by_line(hyp, | |
ref): | |
hyp = list(map(lambda x: x.lower(), hyp)) | |
ref = list(map(lambda x: x.lower(), ref)) | |
len_hyp = len(hyp) | |
len_ref = len(ref) | |
cost_matrix = np.zeros((len_hyp + 1, len_ref + 1), dtype=np.int16) | |
ops_matrix = np.zeros((len_hyp + 1, len_ref + 1), dtype=np.int8) | |
for i in range(len_hyp + 1): | |
cost_matrix[i][0] = i | |
for j in range(len_ref + 1): | |
cost_matrix[0][j] = j | |
for i in range(1, len_hyp + 1): | |
for j in range(1, len_ref + 1): | |
if hyp[i - 1] == ref[j - 1]: | |
cost_matrix[i][j] = cost_matrix[i - 1][j - 1] | |
else: | |
substitution = cost_matrix[i - 1][j - 1] + 1 | |
insertion = cost_matrix[i - 1][j] + 1 | |
deletion = cost_matrix[i][j - 1] + 1 | |
compare_val = [substitution, insertion, deletion] | |
min_val = min(compare_val) | |
operation_idx = compare_val.index(min_val) + 1 | |
cost_matrix[i][j] = min_val | |
ops_matrix[i][j] = operation_idx | |
match_idx = [] | |
i = len_hyp | |
j = len_ref | |
rst = { | |
'nwords': len_ref, | |
'cor': 0, | |
'wrong': 0, | |
'ins': 0, | |
'del': 0, | |
'sub': 0, | |
'path': [] | |
} | |
while i >= 0 or j >= 0: | |
i_idx = max(0, i) | |
j_idx = max(0, j) | |
if ops_matrix[i_idx][j_idx] == 0: # correct | |
if i - 1 >= 0 and j - 1 >= 0: | |
match_idx.append((j - 1, i - 1)) | |
rst['cor'] += 1 | |
i -= 1 | |
j -= 1 | |
elif ops_matrix[i_idx][j_idx] == 2: # insert | |
i -= 1 | |
rst['ins'] += 1 | |
elif ops_matrix[i_idx][j_idx] == 3: # delete | |
j -= 1 | |
rst['del'] += 1 | |
elif ops_matrix[i_idx][j_idx] == 1: # substitute | |
i -= 1 | |
j -= 1 | |
rst['sub'] += 1 | |
if i < 0 and j >= 0: | |
rst['del'] += 1 | |
elif j < 0 and i >= 0: | |
rst['ins'] += 1 | |
match_idx.reverse() | |
wrong_cnt = cost_matrix[len_hyp][len_ref] | |
rst['wrong'] = wrong_cnt | |
rst['path'] = match_idx | |
return rst | |
def print_cer_detail(rst): | |
return ("(" + "nwords=" + str(rst['nwords']) + ",cor=" + str(rst['cor']) | |
+ ",ins=" + str(rst['ins']) + ",del=" + str(rst['del']) + ",sub=" | |
+ str(rst['sub']) + ") corr:" + '{:.2%}'.format(rst['cor']/rst['nwords']) | |
+ ",cer:" + '{:.2%}'.format(rst['wrong']/rst['nwords'])) | |
if __name__ == '__main__': | |
if len(sys.argv) != 4: | |
print("usage : python compute-wer.py test.ref test.hyp test.wer") | |
sys.exit(0) | |
ref_file = sys.argv[1] | |
hyp_file = sys.argv[2] | |
cer_detail_file = sys.argv[3] | |
compute_wer(ref_file, hyp_file, cer_detail_file) | |