아후 개 생노가다.
근데, 단어 단위로 인식하기 때문에, 재처리를 위해서는 캐쉬 시스템을 구현해서 처리하는게 좋겠다.
#!/usr/bin/env python3
"""
Faster-Whisper를 사용한 TOEIC 오디오 전사 스크립트
키워드 기반 세그먼테이션을 위한 단어별 타임스탬프 포함
"""
import argparse
import json
import sys
import logging
from pathlib import Path
import re
try:
from faster_whisper import WhisperModel
except ImportError:
print("faster-whisper가 설치되지 않았습니다. 설치해주세요:")
print("pip install faster-whisper")
sys.exit(1)
# 로깅 설정
logging.basicConfig(
level=logging.INFO,
format='%(levelname)s:%(name)s:%(message)s',
handlers=[
logging.StreamHandler(sys.stdout) # stdout으로 출력
]
)
logger = logging.getLogger(__name__)
# faster-whisper 로그 레벨 조정
logging.getLogger('faster_whisper').setLevel(logging.WARNING)
class ToeicWhisperTranscriber:
def __init__(self, model_size="base", device="cpu"):
"""
TOEIC 전문 Whisper 전사기
Args:
model_size: whisper 모델 크기 (tiny, base, small, medium, large)
device: 실행 디바이스 (cpu, cuda)
"""
self.model_size = model_size
self.device = device
self.model = None
# TOEIC 특화 키워드
self.toeic_keywords = [
"listening", "test", "part", "one", "two", "three", "four",
"directions", "photograph", "picture", "conversation", "talk",
"question", "response", "number", "now", "listen"
]
def load_model(self):
"""Whisper 모델 로드"""
try:
logger.info(f"Whisper 모델 로드 중... (크기: {self.model_size}, 디바이스: {self.device})")
self.model = WhisperModel(
self.model_size,
device=self.device,
compute_type="float16" if self.device == "cuda" else "int8"
)
logger.info("모델 로드 완료")
except Exception as e:
logger.error(f"모델 로드 실패: {e}")
raise
def transcribe_audio(self, audio_path, language="en"):
"""
오디오 파일 전사
Args:
audio_path: 오디오 파일 경로
language: 언어 코드 (기본: en)
Returns:
전사 결과 딕셔너리
"""
if not self.model:
self.load_model()
try:
logger.info(f"오디오 전사 시작: {audio_path}")
# Whisper 전사 실행
logger.info(f"오디오 파일 처리 시작: {audio_path}")
segments, info = self.model.transcribe(
audio_path,
language=language,
word_timestamps=True,
vad_filter=True, # Voice Activity Detection
vad_parameters=dict(
min_silence_duration_ms=800, # 더 긴 무음으로 완전한 문장 단위 분할
max_speech_duration_s=30, # 더 긴 음성 구간으로 완전한 문장 단위 분할
speech_pad_ms=200 # 음성 패딩 추가
),
initial_prompt="This is a TOEIC listening test. Transcribe complete sentences, not fragments. Keep sentences together as complete thoughts. Separate at question numbers like 'Number 7' and answer choices like 'A', 'B', 'C', 'D'.",
without_timestamps=False,
temperature=0.0, # 더 일관된 결과를 위해
beam_size=5, # 더 나은 품질
best_of=5 # 여러 후보 중 최고 선택
)
logger.info(f"전사 완료 - 언어: {info.language}, 확률: {info.language_probability:.2f}")
# 결과 정리
result = {
"language": info.language,
"language_probability": info.language_probability,
"duration": info.duration,
"segments": [],
"word_segments": [],
"text": ""
}
full_text = []
for segment in segments:
# 세그먼트 정보
segment_data = {
"id": segment.id,
"start": segment.start,
"end": segment.end,
"text": segment.text.strip(),
"avg_logprob": segment.avg_logprob,
"no_speech_prob": segment.no_speech_prob,
"words": []
}
# 단어별 타임스탬프
if segment.words:
for word in segment.words:
word_data = {
"word": word.word,
"start": word.start,
"end": word.end,
"probability": word.probability
}
segment_data["words"].append(word_data)
result["word_segments"].append(word_data)
result["segments"].append(segment_data)
full_text.append(segment.text.strip())
result["text"] = " ".join(full_text)
# TOEIC 키워드 매칭 점수 계산
result["toeic_score"] = self.calculate_toeic_score(result["text"])
logger.info(f"세그먼트 수: {len(result['segments'])}, TOEIC 점수: {result['toeic_score']:.2f}")
return result
except Exception as e:
logger.error(f"전사 실패: {e}")
raise
def calculate_toeic_score(self, text):
"""TOEIC 관련 키워드 매칭 점수 계산"""
text_lower = text.lower()
matches = sum(1 for keyword in self.toeic_keywords if keyword in text_lower)
return matches / len(self.toeic_keywords)
def enhance_segments_for_toeic(self, result):
"""TOEIC 특화 세그먼트 후처리"""
enhanced = result.copy()
# 파트별 구분자 감지
part_markers = []
for segment in result["segments"]:
text = segment["text"].lower()
if "part one" in text or "part 1" in text:
part_markers.append({"part": 1, "start": segment["start"], "text": segment["text"]})
elif "part two" in text or "part 2" in text:
part_markers.append({"part": 2, "start": segment["start"], "text": segment["text"]})
elif "part three" in text or "part 3" in text:
part_markers.append({"part": 3, "start": segment["start"], "text": segment["text"]})
elif "part four" in text or "part 4" in text:
part_markers.append({"part": 4, "start": segment["start"], "text": segment["text"]})
enhanced["part_markers"] = part_markers
# 질문 번호 감지
question_markers = []
for segment in result["segments"]:
text = segment["text"].lower()
# "number X" 패턴 찾기
import re
numbers = re.findall(r'number\s+(\d+)', text)
for num in numbers:
question_markers.append({
"question": int(num),
"start": segment["start"],
"text": segment["text"]
})
enhanced["question_markers"] = question_markers
return enhanced
def main():
parser = argparse.ArgumentParser(description="TOEIC 오디오 전사")
parser.add_argument("--audio", required=True, help="입력 오디오 파일")
parser.add_argument("--output", help="출력 JSON 파일 (선택사항)")
parser.add_argument("--model", default="base", help="Whisper 모델 크기")
parser.add_argument("--language", default="en", help="언어 코드")
parser.add_argument("--device", default="cpu", help="실행 디바이스")
parser.add_argument("--output-format", default="file", choices=["file", "json", "srt"], help="출력 형식")
parser.add_argument("--output-dir", default=".", help="출력 디렉토리")
args = parser.parse_args()
# 입력 파일 확인
input_path = Path(args.audio)
if not input_path.exists():
logger.error(f"입력 파일이 없습니다: {input_path}")
sys.exit(1)
try:
# 전사기 생성
transcriber = ToeicWhisperTranscriber(
model_size=args.model,
device=args.device
)
# 전사 실행
result = transcriber.transcribe_audio(
str(input_path),
language=args.language
)
# TOEIC 후처리
enhanced_result = transcriber.enhance_segments_for_toeic(result)
if args.output_format == "json":
# JSON 형식으로 stdout에 출력 (API용)
print(json.dumps(enhanced_result, ensure_ascii=False))
elif args.output_format == "srt":
# SRT 파일만 생성
output_dir = Path(args.output_dir)
output_dir.mkdir(parents=True, exist_ok=True)
srt_path = output_dir / f"{input_path.stem}.srt"
generate_srt_file(enhanced_result, srt_path)
logger.info(f"SRT 파일 생성 완료: {srt_path}")
print(f"SRT 파일 생성: {srt_path}") # stdout 출력으로 Node.js에서 확인 가능
else:
# 파일 저장 모드 (JSON + SRT)
if not args.output:
output_path = input_path.with_suffix('.json')
else:
output_path = Path(args.output)
output_path.parent.mkdir(parents=True, exist_ok=True)
with open(output_path, 'w', encoding='utf-8') as f:
json.dump(enhanced_result, f, ensure_ascii=False, indent=2)
# SRT 파일도 자동 생성
srt_path = output_path.with_suffix('.srt')
generate_srt_file(enhanced_result, srt_path)
logger.info(f"전사 완료: {output_path}")
logger.info(f"SRT 파일 생성: {srt_path}")
except Exception as e:
error_msg = {
"status": "error",
"error_type": type(e).__name__,
"error_message": str(e)
}
if args.output_format == "json":
print(json.dumps(error_msg, ensure_ascii=False))
else:
logger.error(f"전사 실패: {e}")
sys.exit(1)
def split_into_sentences(text):
"""텍스트를 문장 단위로 분할"""
import re
# 문장 끝 패턴: 마침표, 물음표, 느낌표 + 공백 또는 끝
sentence_endings = re.compile(r'[.!?]+\s+|[.!?]+$')
# 약어나 숫자를 고려한 더 정교한 패턴
sentences = []
current_pos = 0
for match in sentence_endings.finditer(text):
sentence = text[current_pos:match.end()].strip()
if sentence:
sentences.append(sentence)
current_pos = match.end()
# 마지막 남은 텍스트
if current_pos < len(text):
remaining = text[current_pos:].strip()
if remaining:
sentences.append(remaining)
return sentences
def generate_srt_file(transcript_data, srt_path, max_words_per_subtitle=15):
"""전사 데이터를 문장 단위로 SRT 파일로 변환"""
try:
srt_entries = []
entry_id = 1
for segment in transcript_data.get('segments', []):
text = segment.get('text', '').strip()
if not text:
continue
start_time = segment.get('start', 0)
end_time = segment.get('end', start_time + 3)
# 먼저 문장 단위로 분할 시도
sentences = split_into_sentences(text)
if len(sentences) <= 1:
# 문장이 하나이거나 분할되지 않은 경우, 단어 수로 분할
words = text.split()
chunks = []
for i in range(0, len(words), max_words_per_subtitle):
chunk = ' '.join(words[i:i + max_words_per_subtitle])
chunks.append(chunk)
sentences = chunks
# 각 문장/청크별로 SRT 엔트리 생성
sentence_duration = (end_time - start_time) / len(sentences) if sentences else 1
for i, sentence in enumerate(sentences):
sentence_start = start_time + (i * sentence_duration)
sentence_end = start_time + ((i + 1) * sentence_duration)
# 마지막 문장은 원래 세그먼트 끝시간으로
if i == len(sentences) - 1:
sentence_end = end_time
srt_entries.append({
'id': entry_id,
'start': sentence_start,
'end': sentence_end,
'text': sentence.strip()
})
entry_id += 1
# SRT 파일 작성
with open(srt_path, 'w', encoding='utf-8') as f:
for entry in srt_entries:
f.write(f"{entry['id']}\n")
f.write(f"{format_srt_time(entry['start'])} --> {format_srt_time(entry['end'])}\n")
f.write(f"{entry['text']}\n\n")
logger.info(f"SRT 파일 생성 완료: {len(srt_entries)}개 엔트리")
except Exception as e:
logger.error(f"SRT 파일 생성 오류: {e}")
def format_srt_time(seconds):
"""초 단위를 SRT 시간 형식으로 변환"""
hours = int(seconds // 3600)
minutes = int((seconds % 3600) // 60)
secs = int(seconds % 60)
milliseconds = int((seconds % 1) * 1000)
return f"{hours:02d}:{minutes:02d}:{secs:02d},{milliseconds:03d}"
if __name__ == "__main__":
main(){
"metadata": {
"title": "TOEIC Listening Test Structure",
"totalQuestions": 100,
"totalSegments": 54,
"estimatedDuration": 2700,
"version": "1.0"
},
"parts": {
"part1": {
"name": "Part 1",
"type": "photographs",
"description": "사진 설명",
"questionRange": [1, 6],
"questionCount": 6,
"avgQuestionDuration": 8,
"directionDuration": 35,
"color": "rgba(255, 99, 132, 0.3)",
"icon": "📷",
"segments": {
"direction": {
"id": "part1-direction",
"label": "Part 1 (Direction)",
"description": "Part 1 지시문 - 사진 설명",
"type": "direction"
},
"questions": [
{
"id": "q1",
"label": "Q1",
"description": "문항 1번 - 사진 설명",
"questionNumber": 1,
"type": "question"
},
{
"id": "q2",
"label": "Q2",
"description": "문항 2번 - 사진 설명",
"questionNumber": 2,
"type": "question"
},
{
"id": "q3",
"label": "Q3",
"description": "문항 3번 - 사진 설명",
"questionNumber": 3,
"type": "question"
},
{
"id": "q4",
"label": "Q4",
"description": "문항 4번 - 사진 설명",
"questionNumber": 4,
"type": "question"
},
{
"id": "q5",
"label": "Q5",
"description": "문항 5번 - 사진 설명",
"questionNumber": 5,
"type": "question"
},
{
"id": "q6",
"label": "Q6",
"description": "문항 6번 - 사진 설명",
"questionNumber": 6,
"type": "question"
}
]
}
},
"part2": {
"name": "Part 2",
"type": "question_response",
"description": "질문-응답",
"questionRange": [7, 31],
"questionCount": 25,
"avgQuestionDuration": 6,
"directionDuration": 12,
"color": "rgba(54, 162, 235, 0.3)",
"icon": "🗣️",
"segments": {
"direction": {
"id": "part2-direction",
"label": "Part 2 (Direction)",
"description": "Part 2 지시문 - 질문-응답",
"type": "direction"
},
"questions": [
{"id": "q7", "label": "Q7", "description": "문항 7번 - 질문-응답", "questionNumber": 7, "type": "question"},
{"id": "q8", "label": "Q8", "description": "문항 8번 - 질문-응답", "questionNumber": 8, "type": "question"},
{"id": "q9", "label": "Q9", "description": "문항 9번 - 질문-응답", "questionNumber": 9, "type": "question"},
{"id": "q10", "label": "Q10", "description": "문항 10번 - 질문-응답", "questionNumber": 10, "type": "question"},
{"id": "q11", "label": "Q11", "description": "문항 11번 - 질문-응답", "questionNumber": 11, "type": "question"},
{"id": "q12", "label": "Q12", "description": "문항 12번 - 질문-응답", "questionNumber": 12, "type": "question"},
{"id": "q13", "label": "Q13", "description": "문항 13번 - 질문-응답", "questionNumber": 13, "type": "question"},
{"id": "q14", "label": "Q14", "description": "문항 14번 - 질문-응답", "questionNumber": 14, "type": "question"},
{"id": "q15", "label": "Q15", "description": "문항 15번 - 질문-응답", "questionNumber": 15, "type": "question"},
{"id": "q16", "label": "Q16", "description": "문항 16번 - 질문-응답", "questionNumber": 16, "type": "question"},
{"id": "q17", "label": "Q17", "description": "문항 17번 - 질문-응답", "questionNumber": 17, "type": "question"},
{"id": "q18", "label": "Q18", "description": "문항 18번 - 질문-응답", "questionNumber": 18, "type": "question"},
{"id": "q19", "label": "Q19", "description": "문항 19번 - 질문-응답", "questionNumber": 19, "type": "question"},
{"id": "q20", "label": "Q20", "description": "문항 20번 - 질문-응답", "questionNumber": 20, "type": "question"},
{"id": "q21", "label": "Q21", "description": "문항 21번 - 질문-응답", "questionNumber": 21, "type": "question"},
{"id": "q22", "label": "Q22", "description": "문항 22번 - 질문-응답", "questionNumber": 22, "type": "question"},
{"id": "q23", "label": "Q23", "description": "문항 23번 - 질문-응답", "questionNumber": 23, "type": "question"},
{"id": "q24", "label": "Q24", "description": "문항 24번 - 질문-응답", "questionNumber": 24, "type": "question"},
{"id": "q25", "label": "Q25", "description": "문항 25번 - 질문-응답", "questionNumber": 25, "type": "question"},
{"id": "q26", "label": "Q26", "description": "문항 26번 - 질문-응답", "questionNumber": 26, "type": "question"},
{"id": "q27", "label": "Q27", "description": "문항 27번 - 질문-응답", "questionNumber": 27, "type": "question"},
{"id": "q28", "label": "Q28", "description": "문항 28번 - 질문-응답", "questionNumber": 28, "type": "question"},
{"id": "q29", "label": "Q29", "description": "문항 29번 - 질문-응답", "questionNumber": 29, "type": "question"},
{"id": "q30", "label": "Q30", "description": "문항 30번 - 질문-응답", "questionNumber": 30, "type": "question"},
{"id": "q31", "label": "Q31", "description": "문항 31번 - 질문-응답", "questionNumber": 31, "type": "question"}
]
}
},
"part3": {
"name": "Part 3",
"type": "conversations",
"description": "대화",
"questionRange": [32, 70],
"questionCount": 39,
"groupCount": 13,
"questionsPerGroup": 3,
"avgGroupDuration": 35,
"directionDuration": 15,
"color": "rgba(255, 206, 86, 0.3)",
"icon": "💬",
"categories": ["회의", "은퇴", "교육", "여행", "음식", "음악", "운동", "의료", "정부", "교통"],
"segments": {
"direction": {
"id": "part3-direction",
"label": "Part 3 (Direction)",
"description": "Part 3 지시문 - 대화",
"type": "direction"
},
"groups": [
{"id": "q32-34", "label": "Q32-34", "description": "문항 32-34번 - 대화", "questionNumbers": [32, 33, 34], "type": "passage"},
{"id": "q32", "label": "Q32", "description": "문항 32번 - 대화", "questionNumbers": [32], "type": "question"},
{"id": "q33", "label": "Q33", "description": "문항 33번 - 대화", "questionNumbers": [33], "type": "question"},
{"id": "q34", "label": "Q34", "description": "문항 34번 - 대화", "questionNumbers": [34], "type": "question"},
{"id": "q35-37", "label": "Q35-37", "description": "문항 35-37번 - 대화", "questionNumbers": [35, 36, 37], "type": "passage"},
{"id": "q35", "label": "Q35", "description": "문항 35번 - 대화", "questionNumbers": [35], "type": "question"},
{"id": "q36", "label": "Q36", "description": "문항 36번 - 대화", "questionNumbers": [36], "type": "question"},
{"id": "q37", "label": "Q37", "description": "문항 37번 - 대화", "questionNumbers": [37], "type": "question"},
{"id": "q38-40", "label": "Q38-40", "description": "문항 38-40번 - 대화", "questionNumbers": [38, 39, 40], "type": "passage"},
{"id": "q38", "label": "Q38", "description": "문항 38번 - 대화", "questionNumbers": [38], "type": "question"},
{"id": "q39", "label": "Q39", "description": "문항 39번 - 대화", "questionNumbers": [39], "type": "question"},
{"id": "q40", "label": "Q40", "description": "문항 40번 - 대화", "questionNumbers": [40], "type": "question"},
{"id": "q41-43", "label": "Q41-43", "description": "문항 41-43번 - 대화", "questionNumbers": [41, 42, 43], "type": "passage"},
{"id": "q41", "label": "Q41", "description": "문항 41번 - 대화", "questionNumbers": [41], "type": "question"},
{"id": "q42", "label": "Q42", "description": "문항 42번 - 대화", "questionNumbers": [42], "type": "question"},
{"id": "q43", "label": "Q43", "description": "문항 43번 - 대화", "questionNumbers": [43], "type": "question"},
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{"number": 62, "keywords": ["number sixty-two", "number 62", "number 62."], "variations": ["question 62", "question sixty-two"]},
{"number": 63, "keywords": ["number sixty-three", "number 63", "number 63."], "variations": ["question 63", "question sixty-three"]},
{"number": 64, "keywords": ["number sixty-four", "number 64", "number 64."], "variations": ["question 64", "question sixty-four"]},
{"questions": [65,66,67], "keywords": ["question 65 through 67", "questions 65 through 67"], "variations": ["question sixty-five through sixty-seven", "questions sixty-five through sixty-seven"]},
{"number": 65, "keywords": ["number sixty-five", "number 65", "number 65."], "variations": ["question 65", "question sixty-five"]},
{"number": 66, "keywords": ["number sixty-six", "number 66", "number 66."], "variations": ["question 66", "question sixty-six"]},
{"number": 67, "keywords": ["number sixty-seven", "number 67", "number 67."], "variations": ["question 67", "question sixty-seven"]},
{"questions": [68,69,70], "keywords": ["question 68 through 70", "questions 68 through 70"], "variations": ["question sixty-eight through seventy", "questions sixty-eight through seventy"]},
{"number": 68, "keywords": ["number sixty-eight", "number 68", "number 68."], "variations": ["question 68", "question sixty-eight"]},
{"number": 69, "keywords": ["number sixty-nine", "number 69", "number 69."], "variations": ["question 69", "question sixty-nine"]},
{"number": 70, "keywords": ["number seventy", "number 70", "number 70."], "variations": ["question 70", "question seventy"]}
]
},
"part4": {
"direction": {
"primary": ["part four", "part 4", "part 4."],
"content": ["you will hear some talks", "given by a single speaker", "about each talk"]
},
"groups": [
{"questions": [71,72,73], "keywords": ["question 71 through 73", "questions 71 through 73"], "variations": ["question seventy-one through seventy-three", "questions seventy-one through seventy-three"]},
{"number": 71, "keywords": ["number seventy-one", "number 71", "number 71."], "variations": ["question 71", "question seventy-one"]},
{"number": 72, "keywords": ["number seventy-two", "number 72", "number 72."], "variations": ["question 72", "question seventy-two"]},
{"number": 73, "keywords": ["number seventy-three", "number 73", "number 73."], "variations": ["question 73", "question seventy-three"]},
{"questions": [74,75,76], "keywords": ["question 74 through 76", "questions 74 through 76"], "variations": ["question seventy-four through seventy-six", "questions seventy-four through seventy-six"]},
{"number": 74, "keywords": ["number seventy-four", "number 74", "number 74."], "variations": ["question 74", "question seventy-four"]},
{"number": 75, "keywords": ["number seventy-five", "number 75", "number 75."], "variations": ["question 75", "question seventy-five"]},
{"number": 76, "keywords": ["number seventy-six", "number 76", "number 76."], "variations": ["question 76", "question seventy-six"]},
{"questions": [77,78,79], "keywords": ["question 77 through 79", "questions 77 through 79"], "variations": ["question seventy-seven through seventy-nine", "questions seventy-seven through seventy-nine"]},
{"number": 77, "keywords": ["number seventy-seven", "number 77", "number 77."], "variations": ["question 77", "question seventy-seven"]},
{"number": 78, "keywords": ["number seventy-eight", "number 78", "number 78."], "variations": ["question 78", "question seventy-eight"]},
{"number": 79, "keywords": ["number seventy-nine", "number 79", "number 79."], "variations": ["question 79", "question seventy-nine"]},
{"questions": [80,81,82], "keywords": ["question 80 through 82", "questions 80 through 82"], "variations": ["question eighty through eighty-two", "questions eighty through eighty-two"]},
{"number": 80, "keywords": ["number eighty", "number 80", "number 80."], "variations": ["question 80", "question eighty"]},
{"number": 81, "keywords": ["number eighty-one", "number 81", "number 81."], "variations": ["question 81", "question eighty-one"]},
{"number": 82, "keywords": ["number eighty-two", "number 82", "number 82."], "variations": ["question 82", "question eighty-two"]},
{"questions": [83,84,85], "keywords": ["question 83 through 85", "questions 83 through 85"], "variations": ["question eighty-three through eighty-five", "questions eighty-three through eighty-five"]},
{"number": 83, "keywords": ["number eighty-three", "number 83", "number 83."], "variations": ["question 83", "question eighty-three"]},
{"number": 84, "keywords": ["number eighty-four", "number 84", "number 84."], "variations": ["question 84", "question eighty-four"]},
{"number": 85, "keywords": ["number eighty-five", "number 85", "number 85."], "variations": ["question 85", "question eighty-five"]},
{"questions": [86,87,88], "keywords": ["question 86 through 88", "questions 86 through 88"], "variations": ["question eighty-six through eighty-eight", "questions eighty-six through eighty-eight"]},
{"number": 86, "keywords": ["number eighty-six", "number 86", "number 86."], "variations": ["question 86", "question eighty-six"]},
{"number": 87, "keywords": ["number eighty-seven", "number 87", "number 87."], "variations": ["question 87", "question eighty-seven"]},
{"number": 88, "keywords": ["number eighty-eight", "number 88", "number 88."], "variations": ["question 88", "question eighty-eight"]},
{"questions": [89,90,91], "keywords": ["question 89 through 91", "questions 89 through 91"], "variations": ["question eighty-nine through ninety-one", "questions eighty-nine through ninety-one"]},
{"number": 89, "keywords": ["number eighty-nine", "number 89", "number 89."], "variations": ["question 89", "question eighty-nine"]},
{"number": 90, "keywords": ["number ninety", "number 90", "number 90."], "variations": ["question 90", "question ninety"]},
{"number": 91, "keywords": ["number ninety-one", "number 91", "number 91."], "variations": ["question 91", "question ninety-one"]},
{"questions": [92,93,94], "keywords": ["question 92 through 94", "questions 92 through 94"], "variations": ["question ninety-two through ninety-four", "questions ninety-two through ninety-four"]},
{"number": 92, "keywords": ["number ninety-two", "number 92", "number 92."], "variations": ["question 92", "question ninety-two"]},
{"number": 93, "keywords": ["number ninety-three", "number 93", "number 93."], "variations": ["question 93", "question ninety-three"]},
{"number": 94, "keywords": ["number ninety-four", "number 94", "number 94."], "variations": ["question 94", "question ninety-four"]},
{"questions": [95,96,97], "keywords": ["question 95 through 97", "questions 95 through 97"], "variations": ["question ninety-five through ninety-seven", "questions ninety-five through ninety-seven"]},
{"number": 95, "keywords": ["number ninety-five", "number 95", "number 95."], "variations": ["question 95", "question ninety-five"]},
{"number": 96, "keywords": ["number ninety-six", "number 96", "number 96."], "variations": ["question 96", "question ninety-six"]},
{"number": 97, "keywords": ["number ninety-seven", "number 97", "number 97."], "variations": ["question 97", "question ninety-seven"]},
{"questions": [98,99,100], "keywords": ["question 98 through 100", "questions 98 through 100"], "variations": ["question ninety-eight through one hundred", "questions ninety-eight through one hundred"]},
{"number": 98, "keywords": ["number ninety-eight", "number 98", "number 98."], "variations": ["question 98", "question ninety-eight"]},
{"number": 99, "keywords": ["number ninety-nine", "number 99", "number 99."], "variations": ["question 99", "question ninety-nine"]},
{"number": 100, "keywords": ["number one hundred", "number 100", "number 100."], "variations": ["question 100", "question one hundred"]}
]
}
}
}
댓글