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\uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP) \ubd84\uc57c\uc5d0\uc11c \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud558\uace0 \uc788\uc73c\uba70, \uadf8\uc5d0 \ub530\ub77c \ub2e4\uc591\ud55c \ubaa8\ub378\ub4e4\uc774 \uac1c\ubc1c\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \ud53c\ub4dc \ud3ec\uc6cc\ub4dc \uc2e0\uacbd\ub9dd \uc5b8\uc5b4 \ubaa8\ub378(Neural Network Language\u2026","rel":"","context":""\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac"\uc5d0\uc11c","block_context":{"text":"\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac","link":"https:\/\/atmokpo.com\/w\/category\/%eb%94%a5%eb%9f%ac%eb%8b%9d-%ec%9e%90%ec%97%b0%ec%96%b4%ec%b2%98%eb%a6%ac\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":25423,"url":"https:\/\/atmokpo.com\/w\/25423\/","url_meta":{"origin":25173,"position":3},"title":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \ucf54\ub7a9(Colab)\uc5d0\uc11c TPU \uc0ac\uc6a9\ud558\uae30","author":"root","date":"2024\ub144 10\uc6d4 26\uc77c","format":false,"excerpt":"\uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub294 \uc778\uacf5\uc9c0\ub2a5\uc758 \ud55c \ubd84\uc57c\ub85c, \ucef4\ud4e8\ud130\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ucc98\ub9ac\ud560 \uc218 \uc788\ub3c4\ub85d \ud558\ub294 \uae30\uc220\uc785\ub2c8\ub2e4. \ucd5c\uadfc \uba87 \ub144 \ub3d9\uc548 \u27e8\ub525 \ub7ec\ub2dd\u27e9 \uae30\ubc95\uc758 \ubc1c\uc804\uc73c\ub85c \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubd84\uc57c\ub294 \uad04\ubaa9\ud560 \ub9cc\ud55c \uc131\uacfc\ub97c \uc774\ub8e8\uc5b4 \uc654\uc2b5\ub2c8\ub2e4. \uc774\ubc88 \uae00\uc5d0\uc11c\ub294 \ub525 \ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubaa8\ub378\uc744 Google Colab\uc5d0\uc11c TPU\ub97c \uc774\uc6a9\ud558\uc5ec \ud559\uc2b5\uc2dc\ud0a4\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. 1. \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP)\u2026","rel":"","context":""\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac"\uc5d0\uc11c","block_context":{"text":"\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac","link":"https:\/\/atmokpo.com\/w\/category\/%eb%94%a5%eb%9f%ac%eb%8b%9d-%ec%9e%90%ec%97%b0%ec%96%b4%ec%b2%98%eb%a6%ac\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":25181,"url":"https:\/\/atmokpo.com\/w\/25181\/","url_meta":{"origin":25173,"position":4},"title":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc640 \uc815\uaddc \ud45c\ud604\uc2dd","author":"root","date":"2024\ub144 10\uc6d4 26\uc77c","format":false,"excerpt":"\uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub294 \uae30\uacc4\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ubd84\uc11d\ud560 \uc218 \uc788\ub3c4\ub85d \ub3d5\ub294 \ucef4\ud4e8\ud130 \uacfc\ud559\uc758 \ud55c \ubd84\uc57c\uc785\ub2c8\ub2e4. \ub525 \ub7ec\ub2dd(deep learning)\uc740 \uc778\uacf5 \uc2e0\uacbd\ub9dd\uc744 \uae30\ubc18\uc73c\ub85c \ud55c \uba38\uc2e0 \ub7ec\ub2dd\uc758 \ud55c \ud615\ud0dc\ub85c, \ub300\ub7c9\uc758 \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\uc5ec \ud328\ud134\uc744 \ud559\uc2b5\ud558\ub294 \ub370 \ub9e4\uc6b0 \ud6a8\uacfc\uc801\uc785\ub2c8\ub2e4. \ucd5c\uadfc \uba87 \ub144 \uac04 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubd84\uc57c\uc5d0\uc11c\uc758 \ub525 \ub7ec\ub2dd\uc758 \ubc1c\uc804\uc740 \uc8fc\ubaa9\ud560 \ub9cc\ud55c \uc131\uacfc\ub97c \uc774\ub8e8\uc5c8\uace0, \uc774\ub7ec\ud55c \uae30\uc220\ub4e4\uc774 \uc2e4\uc81c\u2026","rel":"","context":""\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac"\uc5d0\uc11c","block_context":{"text":"\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac","link":"https:\/\/atmokpo.com\/w\/category\/%eb%94%a5%eb%9f%ac%eb%8b%9d-%ec%9e%90%ec%97%b0%ec%96%b4%ec%b2%98%eb%a6%ac\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":25421,"url":"https:\/\/atmokpo.com\/w\/25421\/","url_meta":{"origin":25173,"position":5},"title":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, BERT(Bidirectional Encoder Representations from Transformers)","author":"root","date":"2024\ub144 10\uc6d4 26\uc77c","format":false,"excerpt":"\uc791\uc131\uc77c: [\ub0a0\uc9dc] \uc791\uc131\uc790: \uc870\uad11\ud615 1. \uc11c\ub860 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP, Natural Language Processing)\ub294 \ucef4\ud4e8\ud130\uac00 \uc778\uac04 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ucc98\ub9ac\ud558\ub294 \ubd84\uc57c\ub85c, \ucd5c\uadfc \uba87 \ub144 \uac04 \uae09\uaca9\ud55c \ubc1c\uc804\uc744 \uc774\ub8e8\uc5c8\uc2b5\ub2c8\ub2e4. \uadf8 \uc911\uc2ec\uc5d0\ub294 \ub525 \ub7ec\ub2dd\uc774 \uc788\uc73c\uba70, \uc774\ub294 \ub9ce\uc740 \ubb38\uc81c\ub4e4\uc744 \ud6a8\uacfc\uc801\uc73c\ub85c \ud574\uacb0\ud558\ub294 \ub370 \ub3c4\uc6c0\uc744 \uc90d\ub2c8\ub2e4. \uadf8 \uc911\uc5d0\uc11c\ub3c4 BERT(Bidirectional Encoder Representations from Transformers)\ub294 \ud2b9\ud788 \ud070 \uc8fc\ubaa9\uc744 \ubc1b\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ubcf8\u2026","rel":"","context":""\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac"\uc5d0\uc11c","block_context":{"text":"\ub525\ub7ec\ub2dd \uc790\uc5f0\uc5b4\ucc98\ub9ac","link":"https:\/\/atmokpo.com\/w\/category\/%eb%94%a5%eb%9f%ac%eb%8b%9d-%ec%9e%90%ec%97%b0%ec%96%b4%ec%b2%98%eb%a6%ac\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"_links":{"self":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/25173","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/comments?post=25173"}],"version-history":[{"count":1,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/25173\/revisions"}],"predecessor-version":[{"id":25174,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/posts\/25173\/revisions\/25174"}],"wp:attachment":[{"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/media?parent=25173"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/categories?post=25173"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/atmokpo.com\/w\/wp-json\/wp\/v2\/tags?post=25173"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}

{"id":25173,"date":"2024-10-26T09:52:46","date_gmt":"2024-10-26T09:52:46","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=25173"},"modified":"2024-11-26T08:02:38","modified_gmt":"2024-11-26T08:02:38","slug":"%eb%94%a5-%eb%9f%ac%eb%8b%9d%ec%9d%84-%ec%9d%b4%ec%9a%a9%ed%95%9c-%ec%9e%90%ec%97%b0%ec%96%b4-%ec%b2%98%eb%a6%ac-%ed%86%a0%ed%81%b0%ed%99%94tokenization","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/25173\/","title":{"rendered":"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \ud1a0\ud070\ud654(Tokenization)"},"content":{"rendered":"

<\/p>\n

\uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP)\ub294 \ucef4\ud4e8\ud130\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ud574\uc11d\ud558\ub294 \uae30\uc220\uc785\ub2c8\ub2e4. \ub370\uc774\ud130 \uc5b8\uc5b4\uc758 \ubcf5\uc7a1\uc131\uacfc \ubaa8\ud638\ud568\uc744 \uadf9\ubcf5\ud558\uae30 \uc704\ud574 \ub525 \ub7ec\ub2dd(Deep Learning) \uae30\uc220\uc774 \uc810\uc810 \ub354 \ub9ce\uc774 \ud65c\uc6a9\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ubcf8 \uae00\uc5d0\uc11c\ub294 \ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uae30\ucd08\ubd80\ud130 \uc2dc\uc791\ud574, \ud1a0\ud070\ud654(Tokenization)\uc758 \uc911\uc694\uc131\uacfc \uadf8 \uacfc\uc815, \uadf8\ub9ac\uace0 \ucd5c\uadfc\uc758 \ub525 \ub7ec\ub2dd \uae30\ubc18\uc758 \ud1a0\ud070\ud654 \uae30\ubc95\ub4e4\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc0b4\ud3b4\ubcf4\ub3c4\ub85d \ud558\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n

1. \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uac1c\uc694<\/h2>\n
\uc790\uc5f0\uc5b4 \ucc98\ub9ac\ub294 \ucef4\ud4e8\ud130\uc640 \uc778\uac04 \uac04\uc758 \uc0c1\ud638\uc791\uc6a9\uc744 \uac00\ub2a5\ud558\uac8c \ud558\ub294 \uae30\uc220\ub85c \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \uae30\ubcf8\uc801\uc73c\ub85c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc5d0\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \ub2e4\uc591\ud55c \uc791\uc5c5\uc774 \ud3ec\ud568\ub429\ub2c8\ub2e4:<\/p>\n
\n
\ubb38\uc7a5 \ubd84\ub9ac(Sentence Segmentation)<\/li>\n
\ub2e8\uc5b4 \ud1a0\ud070\ud654(Word Tokenization)<\/li>\n
\ud488\uc0ac \ud0dc\uae45(Part-of-Speech Tagging)<\/li>\n
\uc758\ubbf8 \ubd84\uc11d(Semantic Analysis)<\/li>\n
\uac10\uc815 \ubd84\uc11d(Sentiment Analysis)<\/li>\n
\uae30\uacc4 \ubc88\uc5ed(Machine Translation)<\/li>\n<\/ul>\n
\uc774 \uc911\uc5d0\uc11c\ub3c4 \ud1a0\ud070\ud654\ub294 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uac00\uc7a5 \uae30\ubcf8\uc801\uc778 \ub2e8\uacc4\ub85c, \ubb38\uc7a5\uc744 \uc758\ubbf8 \uc788\ub294 \uc791\uc740 \ub2e8\uc704\ub85c \ubd84\ub9ac\ud558\ub294 \uacfc\uc815\uc785\ub2c8\ub2e4.<\/p>\n
2. \ud1a0\ud070\ud654(Tokenization)\uc758 \uc911\uc694\uc131<\/h2>\n
\ud1a0\ud070\ud654\ub294 \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uccab \ub2e8\uacc4\ub85c, \ud6c4\uc18d \ub2e8\uacc4\uc778 \ubd84\uc11d, \uc774\ud574, \ubcc0\ud658 \ub4f1\uc5d0 \uc601\ud5a5\uc744 \ubbf8\uce69\ub2c8\ub2e4. \ud1a0\ud070\ud654\uc758 \uc911\uc694\uc131\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n
\n
\ud14d\uc2a4\ud2b8 \uc804\ucc98\ub9ac:<\/strong> \uc6d0\uc2dc \ub370\uc774\ud130\ub97c \uc815\ub9ac\ud558\uc5ec \uba38\uc2e0\ub7ec\ub2dd \ubaa8\ub378\uc774 \ud559\uc2b5\ud558\uae30 \uc26c\uc6b4 \ud615\ud0dc\ub85c \ubcc0\ud658\ud569\ub2c8\ub2e4.<\/li>\n
\uc815\ud655\ud55c \uc758\ubbf8 \uc804\ub2ec:<\/strong> \ubb38\uc7a5\uc5d0\uc11c \uc758\ubbf8\ub97c \uc5ec\ub7ec \uac1c\uc758 \uc791\uc740 \ub2e8\uc704\ub85c \ub098\ub204\uc5b4 \uc8fc\uc5b4 \ud6c4\uc18d \ucc98\ub9ac\uc5d0\uc11c \uc758\ubbf8\ub97c \uc783\uc9c0 \uc54a\ub3c4\ub85d \ud569\ub2c8\ub2e4.<\/li>\n
\ub2e4\uc591\ud55c \uc5b8\uc5b4 \ucc98\ub9ac:<\/strong> \ud1a0\ud070\ud654 \uae30\ubc95\uc740 \uc5ec\ub7ec \uc5b8\uc5b4\uc5d0 \uc801\uc6a9\ud560 \uc218 \uc788\ub3c4\ub85d \uc720\uc5f0\uc131\uc744 \uc81c\uacf5\ud574\uc57c \ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n
3. \uc804\ud1b5\uc801\uc778 \ud1a0\ud070\ud654 \ubc29\ubc95<\/h2>\n
\uc804\ud1b5\uc801\uc778 \ud1a0\ud070\ud654 \ubc29\ubc95\uc740 \uaddc\uce59 \uae30\ubc18 \ubc29\uc2dd\uc73c\ub85c, \ud2b9\uc815\ud55c \uaddc\uce59\uc5d0 \ub530\ub77c \ud14d\uc2a4\ud2b8\ub97c \ubd84\ub9ac\ud569\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c \uc0ac\uc6a9\ub418\ub294 \ubc29\ubc95\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n
3.1. \uacf5\ubc31 \ubd84\ub9ac \ud1a0\ud070\ud654 (Whitespace Tokenization)<\/h3>\n
\uac00\uc7a5 \uac04\ub2e8\ud55c \ud615\ud0dc\ub85c, \uacf5\ubc31\uc744 \uae30\uc900\uc73c\ub85c \ub2e8\uc5b4\ub97c \ubd84\ub9ac\ud569\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \uc785\ub825 \ubb38\uc7a5\uc774 \u201c\ub098\ub294 \ub525 \ub7ec\ub2dd\uc744 \uc88b\uc544\ud55c\ub2e4\u201d\uba74, \ucd9c\ub825\uc740 [“\ub098\ub294”, “\ub525”, “\ub7ec\ub2dd\uc744”, “\uc88b\uc544\ud55c\ub2e4”]\uac00 \ub429\ub2c8\ub2e4.<\/p>\n
3.2. \uad6c\ub450\uc810 \uae30\ubc18 \ud1a0\ud070\ud654 (Punctuation Tokenization)<\/h3>\n
\ubb38\uc7a5\ubd80\ud638\ub97c \uae30\uc900\uc73c\ub85c \ub2e8\uc5b4\ub97c \ubd84\ub9ac\ud558\uba70, \uad6c\ub450\uc810\uc774 \uc18c\uc18d\ub41c \ud1a0\ud070\uc744 \ub530\ub85c \ubd84\ub9ac\ud558\uae30\ub3c4 \ud569\ub2c8\ub2e4. \uc774 \ubc29\uc2dd\uc740 \ubb38\uc7a5 \uad6c\uc870\ub97c \ubcf4\ub2e4 \uc815\uad50\ud558\uac8c \uc774\ud574\ud558\ub294 \ub370 \ub3c4\uc6c0\uc774 \ub429\ub2c8\ub2e4.<\/p>\n
4. \ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \ud1a0\ud070\ud654<\/h2>\n
\ub525 \ub7ec\ub2dd\uc758 \ubc1c\uc804\uc73c\ub85c \uc778\ud574 \ud1a0\ud070\ud654\uc758 \ubc29\uc2dd\ub3c4 \uc9c4\ud654\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ud2b9\ud788, \ub525 \ub7ec\ub2dd \ubaa8\ub378\uc744 \uc774\uc6a9\ud55c \ud1a0\ud070\ud654\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \uc7a5\uc810\uc744 \uac00\uc9c0\uace0 \uc788\uc2b5\ub2c8\ub2e4:<\/p>\n
\n
\ubb38\ub9e5 \uc774\ud574:<\/strong> \ub525 \ub7ec\ub2dd \ubaa8\ub378\uc740 \ubb38\ub9e5\uc744 \uc774\ud574\ud558\uace0 \uc774\ub97c \ubc14\ud0d5\uc73c\ub85c \ub354 \uc815\uad50\ud558\uac8c \ud1a0\ud070\uc744 \ucd94\ucd9c\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n
\ube44\uad50\uc801 \uc801\uc740 \uc218\uc758 \uaddc\uce59:<\/strong> \uaddc\uce59 \uae30\ubc18 \ud1a0\ud070\ud654\ubcf4\ub2e4 \uba54\ubaa8\ub9ac \uc0ac\uc6a9\uacfc \uacc4\uc0b0\ub7c9\uc774 \uc904\uc5b4\ub4ed\ub2c8\ub2e4.<\/li>\n
\ub2e4\uc591\ud55c \uc758\ubbf8 \ucc98\ub9ac:<\/strong> \uc5ec\ub7ec \uc758\ubbf8\ub97c \uac00\uc9c4 \ub2e8\uc5b4(\uc608: “bank”)\ub97c \ubb38\ub9e5\uc5d0 \ub9de\uac8c \ucc98\ub9ac\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<\/ul>\n
5. \ub525 \ub7ec\ub2dd \uae30\ubc18\uc758 \ud1a0\ud070\ud654 \uae30\ubc95<\/h2>\n
\ucd5c\uadfc\uc5d0\ub294 \ub2e4\uc591\ud55c \ub525 \ub7ec\ub2dd \uae30\ubc18\uc758 \ud1a0\ud070\ud654 \uae30\ubc95\uc774 \uac1c\ubc1c\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub4e4 \uae30\ubc95\uc740 \ub300\uac1c \uc2e0\uacbd\ub9dd(Neural Network)\uc744 \uae30\ubc18\uc73c\ub85c \ud558\uba70, \uc8fc\ub85c \uc0ac\uc6a9\ub418\ub294 \ubaa8\ub378\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n
5.1. BI-LSTM \uae30\ubc18 \ud1a0\ud070\ud654<\/h3>\n
\uc591\ubc29\ud5a5 \uae34-\ub2e8\uae30 \uae30\uc5b5 \ubaa8\ud615(Bi-directional Long Short-Term Memory, BI-LSTM)\uc740 \uc21c\ud658 \uc2e0\uacbd\ub9dd(RNN)\uc758 \ud55c \ud615\ud0dc\ub85c, \ubb38\uc7a5\uc758 \ubb38\ub9e5\uc744 \uc55e\uacfc \ub4a4 \uc591\ucabd\uc5d0\uc11c \uace0\ub824\ud560 \uc218 \uc788\ub294 \uc7a5\uc810\uc774 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \ubaa8\ub378\uc740 \uc785\ub825\ub41c \ubb38\uc7a5\uc758 \uac01 \ub2e8\uc5b4\ub97c \ubca1\ud130\ud654\ud55c \ud6c4, \ubb38\ub9e5\uc744 \ud30c\uc545\ud558\uc5ec \ud1a0\ud070\ud654 \uc791\uc5c5\uc744 \uc218\ud589\ud569\ub2c8\ub2e4. BI-LSTM\uc758 \uc0ac\uc6a9\uc73c\ub85c \uc778\ud574 \ud1a0\ud070\ud654\uc758 \uc815\ud655\ub3c4\uac00 \uc0c1\ub2f9\ud788 \ud5a5\uc0c1\ub429\ub2c8\ub2e4.<\/p>\n
5.2. Transformer \uae30\ubc18 \ud1a0\ud070\ud654<\/h3>\n
Transformers\ub294 \ucd5c\uadfc \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubd84\uc57c\uc5d0\uc11c \ud601\uc2e0\uc744 \uac00\uc838\uc628 \ubaa8\ub378\ub85c, \uadf8 \ud575\uc2ec \uc544\uc774\ub514\uc5b4\ub294 Attention \uba54\ucee4\ub2c8\uc998\uc785\ub2c8\ub2e4. \uc774 \ubaa8\ub378\uc744 \ud65c\uc6a9\ud55c \ud1a0\ud070\ud654\ub294 \ubb38\ub9e5 \uc815\ubcf4\ub97c \ud6a8\uacfc\uc801\uc73c\ub85c \ubc18\uc601\ud558\uc5ec \ub2e8\uc5b4\uc758 \uc758\ubbf8\ub97c \ubcf4\ub2e4 \uc815\ud655\ud558\uac8c \ud30c\uc545\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. BERT(Bidirectional Encoder Representations from Transformers)\uc640 \uac19\uc740 \ubaa8\ub378\uc774 \ub300\ud45c\uc801\uc785\ub2c8\ub2e4.<\/p>\n
5.3. BERT\uc640 \uac19\uc740 \uc0ac\uc804 \ud559\uc2b5\ub41c \ubaa8\ub378\uc744 \uc774\uc6a9\ud55c \ud1a0\ud070\ud654<\/h3>\n
BERT\ub294 \uae30\uacc4 \ubc88\uc5ed, \uc9c8\ubb38 \ub2f5\ubcc0 \uc2dc\uc2a4\ud15c \ub4f1 \ub2e4\uc591\ud55c NLP \uc791\uc5c5\uc5d0\u5e7f\u6cdb \uc0ac\uc6a9\ub429\ub2c8\ub2e4. BERT\ub97c \uc774\uc6a9\ud55c \ud1a0\ud070\ud654\ub294 \uc785\ub825 \ubb38\uc7a5\uc744 \uba3c\uc800 BERT\uc758 \ud1a0\ud06c\ub098\uc774\uc800\ub97c \ud1b5\uacfc\uc2dc\ucf1c \uc0ac\uc804 \ud559\uc2b5\ub41c \uc758\ubbf8\ub97c \ubc14\ud0d5\uc73c\ub85c \ud1a0\ud070\uc744 \uc0dd\uc131\ud569\ub2c8\ub2e4. \uc774 \ubc29\uc2dd\uc740 \ud2b9\ud788 \ubb38\ub9e5\uc5d0 \ub530\ub77c \ub2e8\uc5b4\uc758 \uc758\ubbf8\uac00 \ubcc0\ud654\ud558\ub294 \uacbd\uc6b0\uc5d0 \uc720\ub9ac\ud569\ub2c8\ub2e4.<\/p>\n
6. \ud1a0\ud070\ud654\uc758 \uacfc\uc815<\/h2>\n
\ud1a0\ud070\ud654\ub294 \ub300\uac1c \ub2e4\uc74c\uc758 \uc138 \uac00\uc9c0 \uc8fc\uc694 \ub2e8\uacc4\ub97c \ud3ec\ud568\ud569\ub2c8\ub2e4:<\/p>\n
6.1. \ud14d\uc2a4\ud2b8 \uc815\uc81c(Cleaning the Text)<\/h3>\n
\uc6d0\uc2dc \ubb38\uc11c\uc5d0\uc11c \ubd88\ud544\uc694\ud55c \ubb38\uc790\ub97c \uc81c\uac70\ud558\uace0, \ub300\uc18c\ubb38\uc790\ub97c \uc77c\uad00\uc131 \uc788\uac8c \uc870\uc815\ud558\ub294 \uc808\ucc28\uc785\ub2c8\ub2e4. \uc774 \uacfc\uc815\uc740 \ub178\uc774\uc988\ub97c \uc904\uc774\ub294 \ub370 \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud569\ub2c8\ub2e4.<\/p>\n
6.2. \ud1a0\ud070 \uc0dd\uc131(Token Generation)<\/h3>\n
\uc815\uc81c\ub41c \ud14d\uc2a4\ud2b8\uc5d0\uc11c \uc2e4\uc81c\ub85c \ud1a0\ud070\uc744 \uc0dd\uc131\ud558\ub294 \ub2e8\uacc4\uc785\ub2c8\ub2e4. \uc120\ud0dd\ud55c \ud1a0\ud070\ud654 \uae30\ubc95\uc5d0 \ub530\ub77c \uc0dd\uc131\ub41c \ub2e8\uc5b4 \ubaa9\ub85d\uc774 \ub2ec\ub77c\uc9d1\ub2c8\ub2e4.<\/p>\n
6.3. \ubd80\uac00 \uc815\ubcf4 \ucd94\uac00(Adding Additional Information)<\/h3>\n
\uac01 \ud1a0\ud070\uc5d0 \ub300\ud574 \ucd94\uac00\uc801\uc778 \uc815\ubcf4\ub97c \ubd99\uc5ec\uc8fc\ub294 \ub2e8\uacc4\ub85c, \ud488\uc0ac \ud0dc\uae45\uc774\ub098 \uc758\ubbf8\uc801\uc778 \ud0dc\uadf8\ub97c \ubd80\uc5ec\ud558\uc5ec \ud6c4\uc18d \ucc98\ub9ac\ub97c \uc6a9\uc774\ud558\uac8c \ud569\ub2c8\ub2e4.<\/p>\n
7. \uacb0\ub860<\/h2>\n
\ub525 \ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubd84\uc57c\uc5d0\uc11c \ud1a0\ud070\ud654\ub294 \ub9e4\uc6b0 \uc911\uc694\ud55c \uacfc\uc815\uc785\ub2c8\ub2e4. \uc801\uc808\ud55c \ud1a0\ud070\ud654\ub294 \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\uc758 \ud488\uc9c8\uc744 \ub192\uc774\uace0, \uba38\uc2e0\ub7ec\ub2dd \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \uadf9\ub300\ud654\ud558\ub294 \ub370 \uae30\uc5ec\ud569\ub2c8\ub2e4. \uc55e\uc73c\ub85c\ub3c4 \ub525 \ub7ec\ub2dd \uae30\ubc18\uc758 \uc0c8\ub85c\uc6b4 \ud1a0\ud070\ud654 \uae30\ubc95\ub4e4\uc774 \ucd9c\ud604\ud560 \uac83\uc73c\ub85c \uae30\ub300\ud558\uba70, \uc774\ub7ec\ud55c \uae30\uc220 \ubc1c\uc804\uc774 \uc790\uc5f0\uc5b4 \ucc98\ub9ac \ubd84\uc57c\uc5d0 \ub610 \ub2e4\ub978 \ud601\uc2e0\uc744 \uac00\uc838\uc62c \uac83\uc785\ub2c8\ub2e4.<\/p>\n
8. \ucc38\uace0 \uc790\ub8cc<\/h2>\n
\n
\uc790\uc5f0\uc5b4 \ucc98\ub9ac \uae30\ucd08 \uc2dc\ub9ac\uc988 – O’Reilly<\/li>\n
Deep Learning for Natural Language Processing – Michael A. Nielsen<\/li>\n
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding – Devlin et al.<\/li>\n<\/ul>\n
<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"
\uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP)\ub294 \ucef4\ud4e8\ud130\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ud574\uc11d\ud558\ub294 \uae30\uc220\uc785\ub2c8\ub2e4. \ub370\uc774\ud130 \uc5b8\uc5b4\uc758 \ubcf5\uc7a1\uc131\uacfc \ubaa8\ud638\ud568\uc744 \uadf9\ubcf5\ud558\uae30 \uc704\ud574 \ub525 \ub7ec\ub2dd(Deep Learning) \uae30\uc220\uc774 \uc810\uc810 \ub354 \ub9ce\uc774 \ud65c\uc6a9\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ubcf8 \uae00\uc5d0\uc11c\ub294 \ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uae30\ucd08\ubd80\ud130 \uc2dc\uc791\ud574, \ud1a0\ud070\ud654(Tokenization)\uc758 \uc911\uc694\uc131\uacfc \uadf8 \uacfc\uc815, \uadf8\ub9ac\uace0 \ucd5c\uadfc\uc758 \ub525 \ub7ec\ub2dd \uae30\ubc18\uc758 \ud1a0\ud070\ud654 \uae30\ubc95\ub4e4\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc0b4\ud3b4\ubcf4\ub3c4\ub85d \ud558\uaca0\uc2b5\ub2c8\ub2e4. 1. \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uac1c\uc694 \uc790\uc5f0\uc5b4 … \ub354 \ubcf4\uae30 “\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \ud1a0\ud070\ud654(Tokenization)”<\/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":[16],"tags":[],"class_list":["post-25173","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"\n\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \ud1a0\ud070\ud654(Tokenization) - \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\/25173\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \ud1a0\ud070\ud654(Tokenization) - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"\uc790\uc5f0\uc5b4 \ucc98\ub9ac(Natural Language Processing, NLP)\ub294 \ucef4\ud4e8\ud130\uac00 \uc778\uac04\uc758 \uc5b8\uc5b4\ub97c \uc774\ud574\ud558\uace0 \ud574\uc11d\ud558\ub294 \uae30\uc220\uc785\ub2c8\ub2e4. \ub370\uc774\ud130 \uc5b8\uc5b4\uc758 \ubcf5\uc7a1\uc131\uacfc \ubaa8\ud638\ud568\uc744 \uadf9\ubcf5\ud558\uae30 \uc704\ud574 \ub525 \ub7ec\ub2dd(Deep Learning) \uae30\uc220\uc774 \uc810\uc810 \ub354 \ub9ce\uc774 \ud65c\uc6a9\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ubcf8 \uae00\uc5d0\uc11c\ub294 \ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uae30\ucd08\ubd80\ud130 \uc2dc\uc791\ud574, \ud1a0\ud070\ud654(Tokenization)\uc758 \uc911\uc694\uc131\uacfc \uadf8 \uacfc\uc815, \uadf8\ub9ac\uace0 \ucd5c\uadfc\uc758 \ub525 \ub7ec\ub2dd \uae30\ubc18\uc758 \ud1a0\ud070\ud654 \uae30\ubc95\ub4e4\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc0b4\ud3b4\ubcf4\ub3c4\ub85d \ud558\uaca0\uc2b5\ub2c8\ub2e4. 1. \uc790\uc5f0\uc5b4 \ucc98\ub9ac\uc758 \uac1c\uc694 \uc790\uc5f0\uc5b4 … \ub354 \ubcf4\uae30 "\ub525 \ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \ud1a0\ud070\ud654(Tokenization)"\" \/>\n<meta property=\"og:url\" content=\"https:\/\/atmokpo.com\/w\/25173\/\" \/>\n<meta property=\"og:site_name\" content=\"\ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"article:published_time\" content=\"2024-10-26T09:52:46+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-11-26T08:02:38+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\" 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6. \ud1a0\ud070\ud654\uc758 \uacfc\uc815<\/h2>\n\ud1a0\ud070\ud654\ub294 \ub300\uac1c \ub2e4\uc74c\uc758 \uc138 \uac00\uc9c0 \uc8fc\uc694 \ub2e8\uacc4\ub97c \ud3ec\ud568\ud569\ub2c8\ub2e4:<\/p>\n

6. \ud1a0\ud070\ud654\uc758 \uacfc\uc815<\/h2>\n
\ud1a0\ud070\ud654\ub294 \ub300\uac1c \ub2e4\uc74c\uc758 \uc138 \uac00\uc9c0 \uc8fc\uc694 \ub2e8\uacc4\ub97c \ud3ec\ud568\ud569\ub2c8\ub2e4:<\/p>\n