파이썬과 커뮤니티와 한국어 오픈데이터

PyCon Korea 2019 키노트 발표 자료입니다.

Transcript

1. ౵੉ॆҗ ழޭפ౭৬ ೠҴয য়೑ؘ੉ఠ
   2019-08-17
   ߅਷੿
   

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2. ߅਷੿ a.k.a. lucypark, echojuliett, e9t
   • ӝ҅ߣ৉ਸ ೞח ݠन۞׬ ূ૑פয
   • ؘ੉ఠ۽ ૑ध੄ ੢߷ਸ ծ୶Ҋ र਷ ࢎۈ
   • Yak shaver
   2
   

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3. ٸח 2019֙ 5ਘ
   • ӝഥо ػ׮ݶ ೞҊ र਷ ݈੉ ੓঻য!
   • "ઁউ೧઱࣊ࢲ хࢎ೤פ׮! যڃ ফӝܳ ೧ঠೡ૑ ഛन੉ ٜ૑ח ঋ૑݅ ਬ
   ੊ೠ ফӝܳ ೡ ࣻ ੓ب۾ ળ࠺೧ࠅѱਃ."
   • ߊ಴ө૑ 3ѐਘ੉ա ੓ਵפ ળ࠺ೡ दрب ୽࠙ೞ׮!
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4. ԝԝೠ ҅ദ
   • ೠҴয NLP੄ য়೑ࣗझ/ؘ੉ఠী ؀ೠ ࢲ߬੉ܳ ೧ࢲ, അടਸ ҕਬೞҊ
   ׮ э੉ ߊ੹दெաо੗Ҋ ઁউ೧ঠѷয!
   • ః֢౟ۄݶ ੿ࠁܳ ੹׳ೞӝࠁ׮ח ನਊinclusion
   , ׮নࢿdiversity
   , ழޭפ౭৬
   э਷ о஖ܳ ࠗпೞח ߊ಴ݶ જਸ Ѫ эই
   • Ӓؘ۠ ژ ౵੉௑੉פө ౵੉ॆী ؀ೠ ফӝب ೧ঠ૑
   • Ӓۧ׮ݶ 3֙݅ী konlpyب ખ সؘ੉౟ ೧ࠅө? пઙ ؘ੉ఠࣇਸ
   konlpy.downloadী ನೣ೧ࢲ ࢎۈٜ੉ औѱ ׮਍۽٘ ߉ѱ ೞݶ જਸ Ѫ
   э׮!
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5. ӒܻҊ 2019֙ 8ਘ
   • konlpyח Ҋசѱ ցޖ ݆׮... э੉ ٜ݅যоਃ!
   • ই૒ ߊ಴੗ܐب হ֎... ƕƕ
   • ׮೯൤ ੉ܲ ইஜ੄ ୐ ߊ಴פө ࢎۈ੉ ߹۽ উৢѢঠ...
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6. য়ט ೡ ੉ঠӝ
   • ޙઁ ੄ध ҕਬ
   • ழޭפ౭ী ੘ѱա݃ ӝৈೡ ࣻ ੓঻؍ ѐੋ੸ੋ ҃೷ ҕਬ ঢ়զ ফӝ
   • ೠҴয য়೑ؘ੉ఠ ੉ঠӝب ઑӘ ઱߸ ࢎۈٜ਷ ݔզ ٜ঻؍ ফӝ
   *NBHFTPVSDF4BOESBBOE8PP 3JDIBSETHVJEFUPTPGUXBSFEFWFMPQNFOU 6
   

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7. ৈ۞࠙਷ ೐۽Ӓې߁ਸ ৵ ೞदաਃ?
   7
   

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8. ೐۽Ӓې߁਷ ৵ ೞחо?
   • ஂ޷
   • ݡҊࢎפ્
   • ѐੋ੄ ࢿ੢
   • ա੄ ழޭפ౭ী ӝৈೞӝ
   ੉೦ݾٜ਷࢚ഐߓఋ੸੉૑ঋ׮ 8
   

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9. ঢ়զ ੉ঠӝ ೞա: ౱ನಯ
   ౵੉ॆਸ જইೠ द࠻ ೧ழٜ
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10. ٸח 2011֙
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13. ਫ਼Ӭ, ੗ܐо ࠗ઒ೞ׮Ҋਃ?
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14. ৈӝী ׮ ੓חؘਃ? http://likms.assembly.go.kr
    14
    

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15. ೞ૑݅ ցޖ য۵Ҋ ੤޷হ਺ ־о ־ҵ૑ب ݽܰѷҊ
    ֙׼द஭୛ചݶੑפ׮૑Ә੄੄উ੿ࠁदझమ਷ખ؊ಞܻೞѱ߄Շ঻যਃ
    !
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16. ޙࢲח ੽Ӕࢿ੉ ڄয૗ ֤ޙ ו՝ ޛঁ աח PDF
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17. Ѩ࢝ূ૓੉ ੽Ӕೡ ࣻ হח ੿଼ ೞ૑݅ Ҵഥ ੗ܐח ҕҕ੤. Ҵ޹੉ Ѩ࢝ೡ ࣻ ੓যঠ!
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18. ਋ܻо о૓ ӝࣿਸ ੉ਊ೧ࢲ ࣁ࢚ਸ ߄Լࠁ੗!
    18
    

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19. ౱ನಯ http://popong.com
    • ৘࠺ ٣੗੉ց, ѐߊ੗, ӝദ੗ ١ਵ۽ ҳࢿػ ೟ࢤ 10ৈ ݺ
    • ӝࣿ۽ॄ ؀ೠ޹Ҵ ੿஖ܳ ٍൔ٘חѱ ݾ಴
    • ૒੽ ࢲ࠺झܳ ٜ݅যࠁݶࢲ ਋ܻо ࢿ੢ೞח Ѫ਷ ؒ! (ژח ؊ ௾ ݾ੸)
    1010/(1VCMJD0QFO10MJUJDBMFOHJOFFSJ/( 19
    

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20. ࢲ࠺झ ೐۽షఋ੉ೝਸ ೞҊ
    ׼द೥೮؍೐۽షఋ੉ೝో#BMTBNJR
    !
    ೐۽షఋ੉ೝҗ੿੉ҾӘೞݶৈӝ۽о઱ࣁਃ 20
    

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21. ੄ਗ ֎౟ਕ௼ ࠙ࢳب ೞҊ
    3FBENPSFBCPVUUIJTIFSF 21
    

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22. ݒ઱ షਃੌ݃׮ ݽৈ ӝദҗ షۿҗ झఠ٣
    ؀׮ࣻо ੑߨҗ੿ ؀೧ ইחѱ ೞաب হ঻Ѣٚਃ
    Ӓۧѱ 2ߣ੄ ௼ܻझ݃झܳ ೣԋ ݏ੉ೠ റ...
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23. ਢࢲ࠺झ "؀ೠ޹Ҵ ੿஖੄ ݽٚ Ѫ" ఍ࢤ ੉Ѫ ٸޙী ௼܀݂ب ৌब൤ ೞҊ
    ইऔѱب૑Ә਷ബਊ؀࠺࠺ਊ੉݆੉૑୹ػ׮Ҋ౸ױ೧ࢲ֙ਘࠗఠPVUPGTFSWJDF ೞ૑݅౱ನಯӝо׮दबತࣗࢤ઺੉ۄ׮दࣁ࢚ীաৢࣻب੓যਃ 23
    

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24. ਢࢲ࠺झ "؀ೠ޹Ҵ ੿஖੄ ݽٚ Ѫ" ఍ࢤ ೐ۿ౟ূ٘ب ߓ਋Ҋ
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25. ਢࢲ࠺झ "؀ೠ޹Ҵ ੿஖੄ ݽٚ Ѫ" ఍ࢤ D3৬ NLPীب ҙबਸ о૑ѱ غҊ
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26. ਢࢲ࠺झ "؀ೠ޹Ҵ ੿஖੄ ݽٚ Ѫ" ఍ࢤ PDF ౵यب ੊൤Ҋ
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27. South Korea/Seoul Maps ؘ੉ఠ ҕѐ ݫܰ஠షܰ э਷ ై৔ߨب ߓ਑
    shp౵ੌਸTopoJSONਵ۽߄Բחؘ݅֙੉աѦ۷যਃ
    !
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28. Ҵഥ੄ਗ/੄উ ؘ੉ఠ REST API
    • ࢎप ਢࢲ࠺झח ࣳா੉झ
    • ੉ѱ ਗې ૓೯ೞ۰؍ ೐۽ં౟
    • ؊ ݆਷ ࢎۈٜ੉ ੿஖ ؘ੉ఠܳ ࠙ࢳೞѢա
    ഝਊ೧ࢲ ࢲ࠺झܳ ٜ݅ӝܳ ߄ۗ਺
    ইऔѱب૑Ә਷੉ѪبPVUPGTFSWJDFҊ௏٘݅թই੓૑݅ ੉ઁחҴഥীࢲ૒੽ؘ੉ఠܳઁҕ೤פ׮
    ഥ੄۾ ੄উ ੄ਗ
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29. য়೑ࣗझ, য়೑ؘ੉ఠ: ݽٚ Ѫਸ ҕਬೞ۰ח ֢۱
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30. ؀ೠ޹Ҵ ੿஖ܳ ٍൔٜѷ׮Ҋ ࢤпೠ ಁӝ ֈ஖ח ୒ٜ֙਷
    • ೠಞਵ۽ח ઱߸੄ ੘਷ ࢎഥ۽ࠗఠ ੋ੿ਸ ߉ӝب ೮૑݅
    • ࣁ࢚਷ Ӓۧѱ औѱ ߸ೞחѱ ইפۄח Ѫਸ ߓਛҊ ࢲߡ ࠺ਊ੉ ࠺ऱ׮חѪب ঌѱ غҊ
    • ޖ঺ࠁ׮ب ࣗ઺ೠ જ਷ ஘ҳܳ ঳Ҋ
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31. Ӓ যڃ ҃೷ࠁ׮ ч૓ જ਷ ѐߊ ޙചܳ ߓਛणפ׮
    • ޙࢲച ೧઱ࣁਃ. ౱ ղ৻৬ ࣗాೞח ߑߨ
    • Git੄ જ਷ ೐ۑ౭झח ੉Ѣېਃ. ౱ ղ৻৬ ࣗాೡ ٸ ૑ఃݶ જ਷ ݒց
    • ࢜ ೐۽ં౟ীࢲח Flaskۄח ೐ۨ੐ਕ௼ܳ ॄࠅөਃ? ࢜۽਍ بҳܳ ੊൤ח ߑߨ
    • ই੉٣যח working prototypeਵ۽ ࠁৈ઱ࣁਃ. ఌ࢚ҕۿਸ ߩযա ౱ਸ ਑૒੉ח ߑߨ
    • Ӓ ௏٘/ؘ੉ఠ ۄ੉ࣃझо ޤীਃ? ఋੋ੄ ੷੘ޛਸ ઓ઺ೞח ੗ࣁ
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32. ࣁ࢚ਸ ߄Բח Ѫ
    ա৬ ղ ઱߸ਸ ߄Բח Ѫ
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33. दр੉ ખ Ѧ۰ب ҡଳ׮
    ݽܰח Ѥ ߓ਋ݶ ػ׮
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34. য়೑ࣗझо ௾ ੄޷ܳ о૑٠੉
    ؘ੉ఠܳ оҕ೧ࢲ য়೑ؘ੉ఠ۽
    ܾܻૉೞח Ѫب ੄޷੓׮
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35. ঢ়զ ੉ঠӝ ل: KoNLPy
    ೙ਃо ఍ࢤदఅ ౵੉ॆ ۄ੉࠳۞ܻ
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36. ٸח 2014֙
    • ઁ ੹ҕ੉ ਗې ఫझ౟ی਷ ࢚ҙহҊ ं੗ܳ ࠙ࢳೞח ؘ੉ఠ݃੉׬
    • ೟Ү ೐۽ં౟ܳ ࣻ೯ೞ؍ ઺ ೠҴয ࠙ࢳਸ ಞܻೞѱ ೞӝ ਤ೧ द੘
    • ೠҴয ࠙ࢳਸ ೞ۰ݶ ੌױ ష௼ա੉૚ਸ ೧ঠೞחؘ যڌѱ ೞ૑?
    • ഋకࣗ ࠙ࢳਸ ೞݶ ػ׮חؘ য়೑ࣗझח ੓ա?
    • ݻ о૑о ੓ח Ѫ э਷ؘ ࢿמ਷ যڌѱ ׮ܰ૑?
    36
    

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37. Enter KoNLPy
    >>> from konlpy.tag import Okt
    >>> okt = Okt()
    >>> okt.pos('݅աࢲ ߈оਕਃ!')
    [('݅աࢲ', 'Verb'), ('߈оਕਃ', 'Adjective'), ('!', 'Punctuation')]
    • пઙ য়೑ࣗझ ഋకࣗ ࠙ࢳӝܳ ݽ਺
    • nltk ١ ׮ܲ ۄ੉࠳۞ܻ৬ э੉ ಞܻೞѱ ॶ ࣻ ੓ѱ ੋఠಕ੉झܳ ాੌ
    • ೠӖਸ ׮ܙ ٸ ೙ਃೠ пઙ utilਸ ୶оೣ
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38. KoNLPy৬ ୐ߣ૩ PyCon KR
    • ׼द ౵੉ॆ झथ: "౵੉௑੉ ೠҴীࢲ ୊਺ ৌܽ؀!"
    • ա: "ա৬ ࠺तೠ ࠛಞೣਸ ѻҊ ੓ח ࢎۈ੉ ݆૑ ঋਸө?"
    • ٜ݅؍ Ѧ ੜ ಁః૚೧ࢲ ҕѐ೧ࠁ੗!
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39. View Slide

40. ࢎۈٜ਷ ৵ KoNLPyܳ ࢎਊ೮ਸө?
    • ୡࠁ੗: ࢎਊߨ੉ एਕࢲ? ؊ ए਋ݶ જѷ֎ਃ
    • ೟ࢤ: ࠁҊ ٮۄೡ ৘दо ੓যࢲ?
    • पޖ੗: ׮নೠ ҳഅ୓ р ࢿמ ࠺Үо ಞ೧ࢲ?
    • ৻Ҵੋ: ޙࢲо ৔য۽ب ॳৈ ੓যࢲ?
    • ജ҃੸ ਃੋ: ੉റ ౵੉ॆ੉ Ҵղ৻ীࢲ ೠହ ੋӝށ੉ܳ ೧ࢲ?
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41. ղо ೙ਃೠ بҳח
    ղо ٜ݅য ҕਬೠ׮
    Ӓ۞ݶ ࢤп૑ب ޅೠ ب਑ਸ ઱Ҋ ߉ਸ ࣻ ੓׮!
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42. ੉ٞ೧ী فߣ૩ PyCon KR
    • ѐੋ੸ زӝ: ୐ ౵੉௑ ҃೷੉ ցޖ જও׮
    • ׼द ೟҅ীࢲח representation learning੉ ೥೧૓ द੼
    • word2vec, doc2vecਸ Ҵղ੄ ౵੉ॆ ழޭפ౭ী ࣗѐ೧ࠅө?
    • ੘֙ী য়೑ࣗझ۽ KoNLPyܳ ҕѐ೮૑݅ ݄࢚ ష੉ؘ੉ఠо ߹۽ হ׮.
    ੌױ ೠҴয۽ ػ ؘ੉ఠࣇਸ ٜ݅যࠁ੗!
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43. ೠҴয ৔ചಣ ؘ੉ఠ nsmc
    $ head ratings_train.txt
    id document label
    9976970 ই ؊ࡂ.. ૓૞ ૞ૐա֎ਃ ݾܻࣗ 0
    3819312 ൙...ನझఠࠁҊ ୡ٬৔ച઴....য়ߡোӝઑର оߺ૑ ঋҳա 1
    10265843 ցޖ੤㄂঻׮ӒېࢲࠁחѪਸ୶ୌೠ׮ 0
    9045019 Үبࣗ ੉ঠӝҳݢ ..ࣛ૒൤ ੤޷ח হ׮..ಣ੼ ઑ੿ 0
    6483659 ࢎ੉ހಕӒ੄ ੊࢓झ۠ োӝо ثࠁ৓؍ ৔ച!झ౵੉؊ݔীࢲ יযࠁ੉ӝ݅ ೮؍ ழझ౯ ؍झ౟о ցޖաب ੉࡜ࠁ৓׮ 1
    5403919 ݄ Ѧ਺݃ ڏ 3ࣁࠗఠ ୡ١೟Ү 1೟֙ࢤੋ 8࢓ਊ৔ച.ƀƀƀ...߹߈ѐب ইө਑. 0
    7797314 ਗ੘੄ ӟ੢хਸ ઁ؀۽ ࢓۰ղ૑ޅ೮׮. 0
    9443947 ߹ ߈ѐب ইӰ׮ ਄աৡ׮ ੉਽҃ ӡਊ਋ োӝࢤഝ੉ݻ֙ੋ૑..੿݈ ߊ۽೧ب ӒѪࠁױ իѶ׮ ժ஖.хӘ݅߈ࠂ߈ࠂ.. 0
    7156791 ঘ࣌੉ হחؘب ੤޷ ੓ח ݻউغח ৔ച 1
    • ઱য૓ ৔ചಣਸ ӛ੿ ژח ࠗ੿ਵ۽ ࠙ܨೞח ؘ੉ఠࣇ
    • Maas et al. 2011੄ IMDB ؘ੉ఠࣇ(৔য)ਸ ߮஖݃௼
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44. ղо о૓ ӝࣿ੉ ؀ױೞ૑ ঋইب
    ழޭפ౭ী ӝৈೡ ࣻ ੓׮
    ־ҳա ޖ঺੉ٚ!
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45. ݃૑݄ਵ۽
    ਃ્ ೠҴয য়೑ؘ੉ఠ ੉ঠӝ
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46. ٜযоӝী খࢲ
    ԙ ೞҊ र঻؍ ੉ঠӝ
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47. ঌ౵߳਷ ৔যо ইפ׮!
    Alphabet NLPо ইפۄ English NLP
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48. ೠӖ਷ ೠҴযо ইפ׮!
    Hangul NLPо ইפۄ Korean NLP
    ೠӖ਷ ޙ੗, ೠҴযо ঱য
    48
    

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49. ೠҴয য়೑ؘ੉ఠ അട: Sequence classification / labeling
    ҕѐदӝ ੉ܴ ݾ੸ ௼ӝ ۄ੉ࣃझ
    2007 ࣁઙ௏ಌझ ಿࢎకӦ 838k sentences CC BY-NC-ND 4.0
    2012 KOSAC хࢿ࠙ܨ
    (хࢿয ࢎ੹ب ߓನ)
    7.7k sentences Custom
    2015 nsmc хࢿ ࠙ܨ 200k sentences
    (Train: 150k, Test: 50k)
    CC0
    (Public Domain)
    2016 KoreanNERCorpus NER 3.5k sentences -
    2018 nlp-challenge NER 90k sentences -
    2018 nlp-challenge SRL 35k sentences -
    2018 Question pair Paraphrase detection 7k sentence pairs -
    ۄ੉ࣃझоউ੸ഃ੓ח઴਷ۄ੉ࣃझоݺदغয੓૑ঋѢաઁоޅ଺਷҃਋ੑפ׮ 49
    

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50. ೠҴয য়೑ؘ੉ఠ അട: Sequence generation
    ҕѐदӝ ੉ܴ ݾ੸ ௼ӝ ۄ੉ࣃझ
    2015 JPO patent corpus ӝ҅ߣ৉
    ja-ko, ౠೲ بݫੋ
    257k
    sentence pairs
    Custom
    (࢚স੸ ੉ਊ ࠛо)
    2017 Korean parallel corpora ӝ҅ߣ৉
    ko-{en, fr, ja}
    п ঱যह߹
    0.7k, 95k, 0.2k
    sentence pairs
    CC BY-NC-ND 3.0
    (࢚স੸ ࢎਊ ࠛо)
    2018 KSS ਺ࢿ ೤ࢿ/ੋध 12.9k pairs CC BY-NC-SA 4.0
    (࢚স੸ ੉ਊ ࠛо)
    2018 Chatbot data ؀ച 12k pairs -
    2018 OpenSubtitles2018 ӝ҅ߣ৉
    ko-*
    1.3m sentence pairs
    (For ko-en only)
    -
    2019 AIHub ೠҴয-৔য ߣ৉ ߽۳
    ݈ޡ஖
    ӝ҅ߣ৉
    ko-en
    16k sentence pairs
    (To be 1.6m within 2019)
    -
    ۄ੉ࣃझоউ੸ഃ੓ח઴਷ۄ੉ࣃझоݺदغয੓૑ঋѢաઁоޅ଺਷҃਋ੑפ׮
    "*)VC੄҃਋ۄ੉ࣃझоݺदغয੓૑ঋ૑݅ ઺ࣗӝস ߮୊ӝস झఋ౟স ѐੋѐߊ੗ োҳ੗١੉ఋѶਬ੷ੋ੿ࠗࢎস੉޲۽CC0ژחCC BY੉૑ঋਸө୶ஏ೧ࠇפ׮
    ژ ઁоӝ҅ߣ৉ীҙब੉੓যࢲ׮ܲ࠙ঠী࠺೧࢚؀੸ਵ۽؊աৌೡࣻ੓חѪэ਷ؘ֬஘જ਷ؘ੉ఠࣇ੉੓׮ݶBXFTPNFLPSFBOOMQэ਷ܻझ౟ীҕਬ೧઱ࣁਃ 50
    

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51. ೠҴয য়೑ؘ੉ఠ അട: Others
    ҕѐदӝ ੉ܴ ݾ੸ ௼ӝ ۄ੉ࣃझ
    2018 KorQUAD MRC 66k Q/A pairs -
    2019? AIHub ӝ҅ة೧ MRC 450k Q/A pairs -
    2019 cc-kedict ೠ৔ ࢎ੹ 13.7k entries CC BY-SA 3.0
    2019 kosentences Self-supervised
    learning
    31m sentences MIT
    + GNU Free
    Documentation
    + CC BY-NC-SA
    ۄ੉ࣃझоউ੸ഃ੓ח઴਷ۄ੉ࣃझоݺदغয੓૑ঋѢաઁоޅ଺਷҃਋ੑפ׮
    ੉઺ݻо૑חઁо૒੽੉ਊ೧ࠁ૑ޅ೮णפ׮ 51
    

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52. ࢤпࠁ׮ ݆׮!
    !
    ؊ ݆ਵݶ જѷ૑݅...
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53. જ਷ ࢎ۹ 1: KorQUAD https://korquad.github.io/
    • ୽࠙ೠ ন੄ ؘ੉ఠ ҕѐ
    • ब૑য ܻ؊ࠁ٘ө૑ ҕਬ!
    53
    

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54. જ਷ ࢎ۹ 2: KSS https://kaggle.com/bryanpark/korean-single-speaker-speech-...
    • Ҵղ ୭ୡ੄ ਺ࢿ য়೑ؘ੉ఠ
    • ઁߨ ݆਷ ࠙۝
    • ۄ੉ࣃझо ڢ۶ೞѱ ݺदغয ੓যࢲ ޖ঺ਸ ೡ ࣻ ੓Ҋ হח૑о ݺഛೣ
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55. ৵ য়೑ؘ੉ఠо ઺ਃೠоਃ?
    1. ߮஖݃௼о ؼ ࣻ ੓ӝ ٸޙ!
    • ML ݽ؛ٜ਷ ؘ੉ఠ৬ ૑಴о эইঠ ݽ؛ р ࢲ۽ ࠺Үо оמ
    • ࠺Үо оמ೧૑ݶ ӝࣿ ߊ੹੉ ৡ׮
    2. ־ҳա ߄۽ ࠙ࢳ੉ա ݽ؛݂ਸ द੘ೡ ࣻ ੓ӝ ٸޙ!
    • ೐۽Ӓې߁ীࢲ reinventing the wheel੉ ઙઙ ҃҅੄ ؀࢚੉ غ٠
    • ݽفо ؘ੉ఠ ஂٙҗ ੿ઁܳ ೡ ೙ਃח হਗ਼ইਃ
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56. ؘ੉ఠܳ ҕѐೡ ٸ ഛੋೞݶ જ਷ ੼
    1. ࢎਊ੗о ߄۽ ׮਍۽٘೧ࢲ ࢎਊೡ ࣻ ੓חо?
    • оә੸੉ݶ ഥਗоੑ, ੉ਊز੄ ੺ର হ੉ ߄۽ ࢎਊೡ ࣻ ੓ѱ ೣ
    2. ਗޙী ѐੋ੿ࠁ/੷੘ӂ ޙઁח হחо?
    • য়೑ؘ੉ఠח ӝࣿ ߊ੹ਸ ਤ೧ ݒ਋ ઺ਃೞ૑݅ ѐੋ੿ࠁ৬ ੷੘ӂب
    ઓ઺߉Ҋ ૑ெઉঠ ೣ!
    3. оә੸੉ݶ ۄ੉ࣃझܳ ԙ ݺद೧઱ࣁਃ!
    • ੉ਊ੗੄ ߹ب੄ ޙ੄হ੉ оמೠ Ѫ, ࠛоמೠ Ѫਸ ঌܻӝ ਤೣ
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57. য়೑ؘ੉ఠܳ ࢎਊೡ ٸ ഛੋೞݶ જ਷ ੼
    1. ؘ੉ఠо ୽࠙൤ ௾о? ୽࠙൤ ੄޷੓ח Ѿҗܳ յ ࣻ ੓ח ੿ب۽ ୽࠙ೠо?
    2. ۄ੉ࣃझо ޖ঺ੋо? ੤ߓನо оמೠо? ࢚সਊਵ۽ ੉ਊ೧ب غחо?
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58. Call for partipation
    • ೠҴয NLP э੉ ߊ੹दெਃ!
    • য়೑ࣗझ۽ب, য়೑ؘ੉ఠ۽ب ӝৈೡ ࣻ ੓णפ׮
    • য়೑ࣗझח ౵੉ॆ੉যب જ૑݅ ԙ ౵੉ॆ਷ ইפযب ؾפ׮
    • য়೑ؘ੉ఠח ੿ࠗ, ӝস, ೟Ү ݽف ೣԋ೧ਃ ޛۿ ѐੋ ѐߊ੗ب
    • ೠҴয NLP ݈Ҋ ׮ܲ ੤߀ח ࠙ঠب ݆੉ ӝৈೞҊ ࢲ۽ ҕਬ೧ਃ!
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59. хࢎ೤פ׮
    @echojuliett
    https://lucypark.kr
    ठۄ੉٘ܳࠁҊӈ઺ೠೖ٘ߔਸ઱न!MPWJU !TIVSBJOשԋхࢎ٘݀פ׮ 59
    

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