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79 lines
2.0 KiB
79 lines
2.0 KiB
#!/usr/bin/env python3
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import argparse
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def il(n):
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"""ilabel"""
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return n + 1
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def ol(n):
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"""olabel"""
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return n + 1
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def s(n):
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"""state"""
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return n
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def main(args):
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with open(args.token_file) as f:
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lines = f.readlines()
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# token count w/0 <blank> <eps>
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phone_count = 0
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disambig_count = 0
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for line in lines:
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sp = line.strip().split()
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phone = sp[0]
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if phone == '<eps>' or phone == '<blank>':
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continue
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if phone.startswith('#'):
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disambig_count += 1
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else:
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phone_count += 1
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# 1. add start state
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# first token is <blank>:0
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print('0 0 {} 0'.format(il(0)))
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# 2. 0 -> i, i -> i, i -> 0
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# non-blank token start from 1
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for i in range(1, phone_count + 1):
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# eating `token`
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print('0 {} {} {}'.format(s(i), il(i), ol(i)))
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# remove repeating `token`
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print('{} {} {} 0'.format(s(i), s(i), il(i)))
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# skip ending <blank> `token`
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print('{} 0 {} 0'.format(s(i), il(0)))
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# 3. i -> other phone
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# non-blank token to other non-blank token
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for i in range(1, phone_count + 1):
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for j in range(1, phone_count + 1):
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if i != j:
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print('{} {} {} {}'.format(s(i), s(j), il(j), ol(j)))
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# 4. add disambiguous arcs on every final state
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# blank and non-blank token maybe ending with disambiguous `token`
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for i in range(0, phone_count + 1):
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for j in range(phone_count + 2, phone_count + disambig_count + 2):
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print('{} {} {} {}'.format(s(i), s(i), 0, j))
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# 5. every i is final state
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# blank and non-blank `token` are final state
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for i in range(0, phone_count + 1):
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print(s(i))
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(
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description='FST: CTC Token unfold FST transducer')
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parser.add_argument(
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'--token_file',
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required=True,
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help='e2e model token file. line: token(char/phone/spm/disambigous)')
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args = parser.parse_args()
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main(args)
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