\ub2e4\uc591\ud55c NLP \ud0dc\uc2a4\ud06c\uc5d0 \ub300\ud55c \uc131\ub2a5 \ud5a5\uc0c1: \ubb38\uc11c \ubd84\ub958, \uc694\uc57d, \uc9c8\uc758 \uc751\ub2f5 \ub4f1 \ub2e4\uc591\ud55c \uc791\uc5c5\uc5d0\uc11c \ub6f0\uc5b4\ub09c \uc131\ub2a5\uc744 \ubc1c\ud718\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n3. BigBird \ud1a0\ud06c\ub098\uc774\uc800<\/h2>\n
\n BigBird \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uae30 \uc704\ud574\uc11c\ub294 \uba3c\uc800 \ub370\uc774\ud130\ub97c \ud1a0\ud06c\ub098\uc774\uc988(tokenize)\ud574\uc57c \ud569\ub2c8\ub2e4. \ud1a0\ud06c\ub098\uc774\uc9d5\uc740 \ud14d\uc2a4\ud2b8\ub97c \uac1c\ubcc4\uc801\uc778 \ud1a0\ud070(token)\uc73c\ub85c \ub098\ub204\ub294 \uacfc\uc815\uc785\ub2c8\ub2e4. \ud5c8\uae45\ud398\uc774\uc2a4 Transformers \ub77c\uc774\ube0c\ub7ec\ub9ac\uc5d0\uc11c\ub294 \ubaa8\ub378\uc5d0 \ub9de\ucd98 \ub2e4\uc591\ud55c \ud1a0\ud06c\ub098\uc774\uc800\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4.\n <\/p>\n
3.1. BigBird \ud1a0\ud06c\ub098\uc774\uc800 \uc124\uce58<\/h3>\n
\n BigBird \ud1a0\ud06c\ub098\uc774\uc800\ub97c \uc0ac\uc6a9\ud558\ub824\uba74 \uba3c\uc800 \ud544\uc694\ud55c \ud328\ud0a4\uc9c0\ub97c \uc124\uce58\ud574\uc57c \ud569\ub2c8\ub2e4. \uc544\ub798\uc758 \ud30c\uc774\uc36c \ucf54\ub4dc\ub97c \uc2e4\ud589\ud558\uc5ec \uc124\uce58\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4:\n <\/p>\n
!pip install transformers<\/code><\/pre>\n3.2. BigBird \ud1a0\ud06c\ub098\uc774\uc800 \uc0ac\uc6a9\ubc95<\/h3>\n
\n \uc124\uce58\uac00 \uc644\ub8cc\ub418\uba74 \ub2e4\uc74c\uacfc \uac19\uc740 \ucf54\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec BigBird \ud1a0\ud06c\ub098\uc774\uc800\ub97c \ucd08\uae30\ud654\ud558\uace0 \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \ud1a0\ud06c\ub098\uc774\uc988\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4:\n <\/p>\n
\nfrom transformers import BigBirdTokenizer\n\n# BigBird \ud1a0\ud06c\ub098\uc774\uc800 \ucd08\uae30\ud654\ntokenizer = BigBirdTokenizer.from_pretrained('google\/bigbird-base')\n\n# \uc608\uc2dc \ud14d\uc2a4\ud2b8\ntext = \"\ub525\ub7ec\ub2dd\uacfc \uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub294 \ub9e4\uc6b0 \ud765\ubbf8\ub85c\uc6b4 \ubd84\uc57c\uc785\ub2c8\ub2e4.\"\n\n# \ud14d\uc2a4\ud2b8 \ud1a0\ud06c\ub098\uc774\uc9d5\ntokens = tokenizer.tokenize(text)\nprint(\"\ud1a0\ud06c\ub098\uc774\uc9d5 \uacb0\uacfc:\", tokens)\n <\/code><\/pre>\n4. BigBird \uc778\ucf54\ub529<\/h2>\n
\n \ud1a0\ud06c\ub098\uc774\uc9d5 \ud6c4, \ud1a0\ud070\uc744 \ubaa8\ub378\uc5d0 \uc785\ub825\ud560 \uc218 \uc788\ub294 \ud615\ud0dc\ub85c \uc778\ucf54\ub529\ud574\uc57c \ud569\ub2c8\ub2e4. \uc778\ucf54\ub529 \uacfc\uc815\uc5d0\uc11c\ub294 \ud1a0\ud070\uc744 \uc815\uc218 \uc778\ub371\uc2a4 \ud615\ud0dc\ub85c \ubcc0\ud658\ud558\uace0, \uc774 \ub54c \ud328\ub529(padding) \ubc0f \uc5b4\ud150\uc158 \ub9c8\uc2a4\ud06c(attention mask)\ub3c4 \uc0dd\uc131\ud569\ub2c8\ub2e4.\n <\/p>\n
4.1. BigBird \uc778\ucf54\ub529 \uc0ac\uc6a9\ubc95<\/h3>\n
\n \ub2e4\uc74c\uacfc \uac19\uc740 \ucf54\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub370\uc774\ud130 \uc778\ucf54\ub529\uc744 \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4:\n <\/p>\n
\n# \ud14d\uc2a4\ud2b8\ub97c \uc778\ucf54\ub529\nencoded_input = tokenizer.encode_plus(\n text,\n padding='max_length', # \ucd5c\ub300 \uae38\uc774\uc5d0 \ud328\ub529\n truncation=True, # \uae38\uc774\uac00 \uae34 \uacbd\uc6b0 \uc808\ub2e8\n return_tensors='pt' # \ud30c\uc774\ud1a0\uce58 \ud150\uc11c \ud615\uc2dd\uc73c\ub85c \ubc18\ud658\n)\n\nprint(\"\uc778\ucf54\ub529 \uacb0\uacfc:\", encoded_input)\n# \ucd9c\ub825 \uc608\uc2dc: {'input_ids': ..., 'attention_mask': ...}\n <\/code><\/pre>\n5. \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud55c \uc608\uc81c<\/h2>\n
\n \uc774\uc81c \uc778\ucf54\ub529\ub41c \uc785\ub825\uc744 BigBird \ubaa8\ub378\uc5d0 \uc785\ub825\ud558\uc5ec \uacb0\uacfc\ub97c \ud655\uc778\ud558\ub294 \uacfc\uc815\uc744 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \ub2e4\uc74c\uc758 \uc608\uc2dc \ucf54\ub4dc\ub97c \ud1b5\ud574 \uc0ac\uc804 \ud6c8\ub828\ub41c BigBird \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc785\ub825 \ud14d\uc2a4\ud2b8\uc758 \uc784\ubca0\ub529\uc744 \uc0dd\uc131\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n <\/p>\n
\nfrom transformers import BigBirdModel\n\n# BigBird \ubaa8\ub378 \ucd08\uae30\ud654\nmodel = BigBirdModel.from_pretrained('google\/bigbird-base')\n\n# \ubaa8\ub378\uc5d0 \uc785\ub825\ud558\uace0 \ucd9c\ub825 \ubc1b\uae30\noutput = model(**encoded_input)\n\n# \ucd9c\ub825\ub420 \ubaa8\ub378\uc758 \uc784\ubca0\ub529\nprint(\"\ubaa8\ub378 \ucd9c\ub825:\", output)\n <\/code><\/pre>\n6. \uc751\uc6a9 \uc608\uc81c: \ud14d\uc2a4\ud2b8 \ubd84\ub958<\/h2>\n
\n BigBird \ubaa8\ub378\uc744 \ud65c\uc6a9\ud55c \uae34 \ubb38\uc11c \ud14d\uc2a4\ud2b8 \ubd84\ub958 \uc608\uc81c\ub97c \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc774 \uacfc\uc815\uc5d0\uc11c\ub294 \ub370\uc774\ud130\uc14b\uc744 \uc900\ube44\ud558\uace0, \ubaa8\ub378\uc744 \ud6c8\ub828\uc2dc\ud0a4\uace0, \ud14c\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \uc608\uce21\ud558\ub294 \uacfc\uc815\uc744 \ud3ec\ud568\ud569\ub2c8\ub2e4.\n <\/p>\n
6.1. \ub370\uc774\ud130\uc14b \uc900\ube44<\/h3>\n
\n \ub370\uc774\ud130\uc14b\uc740 \uc77c\ubc18\uc801\uc73c\ub85c \uc57d\uc18d\ub41c \ud615\uc2dd\uc73c\ub85c \uc900\ube44\ub418\uc5b4\uc57c \ud569\ub2c8\ub2e4. \uc544\ub798 \ucf54\ub4dc\ub97c \ud1b5\ud574 \uac04\ub2e8\ud55c \uc0d8\ud50c \ub370\uc774\ud130\ub97c \uc0dd\uc131\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4:\n <\/p>\n
\nimport pandas as pd\n\n# \uc0d8\ud50c \ub370\uc774\ud130 \uc0dd\uc131\ndata = {\n 'text': [\n \"\uc774\uac83\uc740 \uae0d\uc815\uc801\uc778 \ub9ac\ubdf0\uc785\ub2c8\ub2e4.\",\n \"\uc644\uc804 \uc2e4\ub9dd\ud588\uc2b5\ub2c8\ub2e4. \uc808\ub300 \ucd94\ucc9c\ud558\uc9c0 \uc54a\uc2b5\ub2c8\ub2e4.\",\n \"\uc774 \uc81c\ud488\uc740 \uc815\ub9d0 \uc88b\uc2b5\ub2c8\ub2e4.\",\n \"\ubcc4\ub85c\uc608\uc694.\",\n ],\n 'label': [1, 0, 1, 0] # \uae0d\uc815\uc740 1, \ubd80\uc815\uc740 0\n}\n\ndf = pd.DataFrame(data)\nprint(df)\n <\/code><\/pre>\n6.2. \ub370\uc774\ud130 \uc804 \ucc98\ub9ac<\/h3>\n
\n \ub370\uc774\ud130\ub97c \ubaa8\ub378\uc5d0 \uc804\ub2ec\ud558\uae30 \uc804\uc5d0 \uc778\ucf54\ub529 \ubc0f \ud328\ub529\uc744 \uc801\uc6a9\ud574\uc57c \ud569\ub2c8\ub2e4. \ub2e4\uc74c\uacfc \uac19\uc740 \uc808\ucc28\ub97c \uac70\uce69\ub2c8\ub2e4:\n <\/p>\n
\n# \ubaa8\ub4e0 \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \uc778\ucf54\ub529\nencodings = tokenizer(df['text'].tolist(), padding=True, truncation=True, return_tensors='pt')\nlabels = torch.tensor(df['label'].tolist())\n <\/code><\/pre>\n6.3. \ubaa8\ub378 \ud6c8\ub828<\/h3>\n
\n \ud6c8\ub828 \uacfc\uc815\uc744 \ud1b5\ud574 \ubaa8\ub378\uc774 \ub370\uc774\ud130\ub97c \ud559\uc2b5\ud558\uac8c \ud569\ub2c8\ub2e4. \uc774 \uac04\ub2e8\ud55c \uc608\uc81c\uc5d0\uc11c\ub294 \uc5d0\ud3ec\ud06c \uc218 \ubc0f \uc635\ud2f0\ub9c8\uc774\uc800 \uc124\uc815\uc740 \uc0dd\ub7b5\ud558\uaca0\uc2b5\ub2c8\ub2e4.\n <\/p>\n
\nfrom transformers import AdamW\n\n# \uc635\ud2f0\ub9c8\uc774\uc800 \uc124\uc815\noptimizer = AdamW(model.parameters(), lr=1e-5)\n\n# \ud6c8\ub828 \ub8e8\ud504\nfor epoch in range(3): # 3 \uc5d0\ud3ec\ud06c\n model.train()\n outputs = model(**encodings)\n loss = outputs.loss\n loss.backward()\n optimizer.step()\n optimizer.zero_grad()\n print(f\"EPOCH {epoch + 1} \/ 3: Loss: {loss.item()}\")\n <\/code><\/pre>\n6.4. \ubaa8\ub378 \ud3c9\uac00<\/h3>\n
\n \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \ud3c9\uac00\ud558\uae30 \uc704\ud574 \uc0ac\uc804 \ud6c8\ub828\ub41c \ubaa8\ub378\uc744 \ud14c\uc2a4\ud2b8 \ub370\uc774\ud130\uc5d0 \uc801\uc6a9\ud569\ub2c8\ub2e4.\n <\/p>\n
\nmodel.eval()\nwith torch.no_grad():\n test_output = model(**encodings)\n predictions = test_output.logits.argmax(dim=1)\n \nprint(\"\uc608\uce21 \uacb0\uacfc:\", predictions)\n <\/code><\/pre>\n7. \uacb0\ub860 \ubc0f \ucd94\uac00 \ucc38\uace0 \uc790\ub8cc<\/h2>\n
\n \uc774\ubc88 \uae00\uc5d0\uc11c\ub294 \ud5c8\uae45\ud398\uc774\uc2a4\uc758 transformers \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud558\uc5ec BigBird \ubaa8\ub378\uc758 \ud1a0\ud06c\ub098\uc774\uc9d5 \ubc0f \uc778\ucf54\ub529 \uacfc\uc815\uc744 \uc0b4\ud3b4\ubcf4\uc558\uc2b5\ub2c8\ub2e4. \uae30\uc874\uc758 Transformer \uc544\ud0a4\ud14d\ucc98\uc758 \ud55c\uacc4\ub97c \uadf9\ubcf5\ud55c BigBird\ub294 \uae34 \ubb38\uc11c\ub97c \ub2e4\ub8e8\ub294 NLP \uc791\uc5c5\uc5d0\uc11c \uac1c\uc120\ub41c \uc131\ub2a5\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.\n <\/p>\n
\n \ub354 \ub9ce\uc740 \uc815\ubcf4\uc640 \uc608\uc81c\ub97c \uc6d0\ud558\uc2e0\ub2e4\uba74 [Hugging Face](https:\/\/huggingface.co\/docs\/transformers\/index) \uacf5\uc2dd \ubb38\uc11c\ub97c \ucc38\uace0\ud558\uc2dc\uae30 \ubc14\ub78d\ub2c8\ub2e4. \uc774 \uae00\uc774 \ub525\ub7ec\ub2dd\uacfc \uc790\uc5f0\uc5b4 \ucc98\ub9ac \uc138\uacc4\uc5d0 \ub354 \uae4a\uc774 \ubc1c\uc744 \ub2f4\uadf8\ub294 \ub370 \ub3c4\uc6c0\uc774 \ub418\uc5c8\uae30\ub97c \ubc14\ub78d\ub2c8\ub2e4.\n <\/p>\n
<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"
\ub525\ub7ec\ub2dd \ubd84\uc57c\uc5d0\uc11c \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\ub294 \uba38\uc2e0\ub7ec\ub2dd\uacfc AI\uc758 \uac00\uc7a5 \ud070 \uc131\uacf5 \uc0ac\ub840 \uc911 \ud558\ub098\uc785\ub2c8\ub2e4. \ub9ce\uc740 \uc5f0\uad6c\uc790\uc640 \uae30\uc5c5\ub4e4\uc774 \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud558\uace0, \ud14d\uc2a4\ud2b8\ub97c \uc774\ud574\ud558\uba70, \ub300\ud654\ud615 AI \uc2dc\uc2a4\ud15c\uc744 \ub9cc\ub4dc\ub294 \ub370 \uc788\uc5b4 NLP \uae30\uc220\uc744 \ud65c\uc6a9\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc55e\uc73c\ub85c \uc774 \uae00\uc5d0\uc11c\ub294 \ud5c8\uae45\ud398\uc774\uc2a4(Hugging Face)\uc758 Transformers \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud558\uc5ec BigBird \ubaa8\ub378\uc744 \uae30\ubc18\uc73c\ub85c \ud558\ub294 \ud1a0\ud06c\ub098\uc774\uc9d5 \ubc0f \uc778\ucf54\ub529 \ubc29\ubc95\uc744 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. 1. \ud5c8\uae45\ud398\uc774\uc2a4 Transformers \ub77c\uc774\ube0c\ub7ec\ub9ac \uc18c\uac1c \ud5c8\uae45\ud398\uc774\uc2a4\ub294 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP) \ubaa8\ub378\uacfc … \ub354 \ubcf4\uae30 “\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, BigBird \ud1a0\ud06c\ub098\uc774\uc9d5 \ubc0f \uc778\ucf54\ub529”<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[30],"tags":[],"class_list":["post-29562","post","type-post","status-publish","format-standard","hentry","category-30"],"yoast_head":"\n\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, BigBird \ud1a0\ud06c\ub098\uc774\uc9d5 \ubc0f \uc778\ucf54\ub529 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/atmokpo.com\/w\/29562\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, BigBird \ud1a0\ud06c\ub098\uc774\uc9d5 \ubc0f \uc778\ucf54\ub529 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"\ub525\ub7ec\ub2dd \ubd84\uc57c\uc5d0\uc11c \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\ub294 \uba38\uc2e0\ub7ec\ub2dd\uacfc AI\uc758 \uac00\uc7a5 \ud070 \uc131\uacf5 \uc0ac\ub840 \uc911 \ud558\ub098\uc785\ub2c8\ub2e4. \ub9ce\uc740 \uc5f0\uad6c\uc790\uc640 \uae30\uc5c5\ub4e4\uc774 \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud558\uace0, \ud14d\uc2a4\ud2b8\ub97c \uc774\ud574\ud558\uba70, \ub300\ud654\ud615 AI \uc2dc\uc2a4\ud15c\uc744 \ub9cc\ub4dc\ub294 \ub370 \uc788\uc5b4 NLP \uae30\uc220\uc744 \ud65c\uc6a9\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc55e\uc73c\ub85c \uc774 \uae00\uc5d0\uc11c\ub294 \ud5c8\uae45\ud398\uc774\uc2a4(Hugging Face)\uc758 Transformers \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud558\uc5ec BigBird \ubaa8\ub378\uc744 \uae30\ubc18\uc73c\ub85c \ud558\ub294 \ud1a0\ud06c\ub098\uc774\uc9d5 \ubc0f \uc778\ucf54\ub529 \ubc29\ubc95\uc744 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. 1. \ud5c8\uae45\ud398\uc774\uc2a4 Transformers \ub77c\uc774\ube0c\ub7ec\ub9ac \uc18c\uac1c \ud5c8\uae45\ud398\uc774\uc2a4\ub294 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP) \ubaa8\ub378\uacfc … \ub354 \ubcf4\uae30 "\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, BigBird \ud1a0\ud06c\ub098\uc774\uc9d5 \ubc0f \uc778\ucf54\ub529"\" \/>\n<meta property=\"og:url\" content=\"https:\/\/atmokpo.com\/w\/29562\/\" \/>\n<meta property=\"og:site_name\" content=\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"article:published_time\" content=\"2024-10-28T01:55:27+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-11-26T06:52:16+00:00\" \/>\n<meta name=\"author\" content=\"root\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@bebubo4\" \/>\n<meta name=\"twitter:site\" content=\"@bebubo4\" \/>\n<meta name=\"twitter:label1\" content=\"\uae00\uc4f4\uc774\" \/>\n\t<meta name=\"twitter:data1\" content=\"root\" \/>\n\t<meta name=\"twitter:label2\" content=\"\uc608\uc0c1 \ub418\ub294 \ud310\ub3c5 \uc2dc\uac04\" \/>\n\t<meta name=\"twitter:data2\" content=\"1\ubd84\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/atmokpo.com\/w\/29562\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/atmokpo.com\/w\/29562\/\"},\"author\":{\"name\":\"root\",\"@id\":\"https:\/\/atmokpo.com\/w\/#\/schema\/person\/91b6b3b138fbba0efb4ae64b1abd81d7\"},\"headline\":\"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, BigBird \ud1a0\ud06c\ub098\uc774\uc9d5 \ubc0f \uc778\ucf54\ub529\",\"datePublished\":\"2024-10-28T01:55:27+00:00\",\"dateModified\":\"2024-11-26T06:52:16+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/atmokpo.com\/w\/29562\/\"},\"wordCount\":57,\"publisher\":{\"@id\":\"https:\/\/atmokpo.com\/w\/#organization\"},\"articleSection\":[\"\ud5c8\uae45\ud398\uc774\uc2a4 \ud65c\uc6a9\"],\"inLanguage\":\"ko-KR\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/atmokpo.com\/w\/29562\/\",\"url\":\"https:\/\/atmokpo.com\/w\/29562\/\",\"name\":\"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, BigBird \ud1a0\ud06c\ub098\uc774\uc9d5 \ubc0f \uc778\ucf54\ub529 - 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