{"id":360,"date":"2013-11-30T19:06:00","date_gmt":"2013-11-30T10:06:00","guid":{"rendered":""},"modified":"2022-03-15T14:29:15","modified_gmt":"2022-03-15T05:29:15","slug":"part1-2","status":"publish","type":"post","link":"https:\/\/www.sigmadesign.co.jp\/minomonchan\/2013\/11\/part1-2.html","title":{"rendered":"\u5165\u9580\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\uff08\u30aa\u30e9\u30a4\u30ea\u30fc\uff09\u306e\u6f14\u7fd2\u554f\u984c \u89e3\u7b54Part1 [\u7b2c\uff12\u7ae0\uff11\u301c]"},"content":{"rendered":"<div data-post-id=\"1297\" class=\"insert-page insert-page-1297 \"><div class=\"st-kaiwa-box kaiwaicon3 clearfix\"><div class=\"st-kaiwa-face\"><img decoding=\"async\" src=\"http:\/\/www.sigmadesign.co.jp\/minomonchan\/wp-content\/uploads\/sites\/2\/2022\/03\/profile.jpg\" width=\"60px\"><div class=\"st-kaiwa-face-name\">\u6587\u5b57\u5b9f<\/div><\/div><div class=\"st-kaiwa-area\"><div class=\"st-kaiwa-hukidashi\">\u3053\u306e\u8a18\u4e8b\u306f\u3001\u682a\u5f0f\u4f1a\u793e\u30b7\u30b0\u30de\u30fb\u30c7\u30b6\u30a4\u30f3\u793e\u9577\u306e<a href=\"https:\/\/www.sigmadesign.co.jp\/president\/\" target=\"_blank\" rel=\"noopener\">\u6587\u5b57\u5b9f<\/a>\u304c\u57f7\u7b46\u3057\u307e\u3057\u305f\u3002<\/div><\/div><\/div>\n<\/div>\n<p>\u5165\u9580\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u306e\u6f14\u7fd2\u554f\u984c\u3092\u89e3\u304f\u30b7\u30ea\u30fc\u30ba\u3002<\/p>\n<p><img fetchpriority=\"high\" decoding=\"async\" class=\"alignnone size-full wp-image-688\" src=\"http:\/\/www.sigmadesign.co.jp\/minomonchan\/wp-content\/uploads\/sites\/2\/2013\/08\/51EoFqAGo1L_SX382_BO1204203200_.jpg\" alt=\"\u5165\u9580 \u81ea\u7136\u8a00\u8a9e\u51e6\u7406\" width=\"384\" height=\"499\" srcset=\"https:\/\/www.sigmadesign.co.jp\/minomonchan\/wp-content\/uploads\/sites\/2\/2013\/08\/51EoFqAGo1L_SX382_BO1204203200_.jpg 384w, https:\/\/www.sigmadesign.co.jp\/minomonchan\/wp-content\/uploads\/sites\/2\/2013\/08\/51EoFqAGo1L_SX382_BO1204203200_-231x300.jpg 231w\" sizes=\"(max-width: 384px) 100vw, 384px\" \/><\/p>\n<p><a href=\"http:\/\/www.amazon.co.jp\/exec\/obidos\/ASIN\/4873114705\/shikakukingu-22\" target=\"_blank\" rel=\"nofollow noopener\">\u5165\u9580 \u81ea\u7136\u8a00\u8a9e\u51e6\u7406<\/a><\/p>\n<p>\u3010\u7b2c\uff11\u554f\u3011<\/p>\n<p>\u5358\u8a9e\u306e\u30ea\u30b9\u30c8\u3092\u542b\u3093\u3060\u5909\u6570\u3092\u4f5c\u6210\u3057\u3088\u3046\u3002\u305d\u306e\u5909\u6570\u306b\u5bfe\u3057\u3001\u52a0\u7b97\u3001\u4e57\u7b97\u3001\u6dfb\u5b57\u3001\u30b9\u30e9\u30a4\u30b9\u8868\u8a18\u3001\u30bd\u30fc\u30c8\u3092\u8a66\u3057\u3066\u307f\u3088\u3046\u3002<\/p>\n<div style=\"background-color: lightgray; padding: 10px;\">\n<pre><code>#!\/usr\/bin\/env python\r\n#-*- coding: utf-8 -*-\r\n\r\ndef main():    \r\n    words = ['apple', 'orange', 'banana']\r\n    print words + ['grape']\r\n    print words * 3\r\n    print words[2]\r\n    print words[:2]\r\n    print sorted(words)\r\n\r\nif __name__ == '__main__':\r\n    main()<\/code><\/pre>\n<\/div>\n<p>\u3010\u7b2c\uff12\u554f\u3011<\/p>\n<p>corpus\u30e2\u30b8\u30e5\u30fc\u30eb\u3092\u5229\u7528\u3057\u3066\u3001austen-persuasion.txt\u3092\u8abf\u3079\u3066\u307f\u3088\u3046\u3002\u5358\u8a9e\u30c8\u30fc\u30af\u30f3\u306f\u3044\u304f\u3064\u304b\u308b\u304b\u3002\u307e\u305f\u7570\u306a\u308a\u8a9e\u306f\u3044\u304f\u3064\u304b\u308b\u304b\u3002<\/p>\n<p>\u5358\u8a9e\u30c8\u30fc\u30af\u30f3\u306f98,171\u3002\u7570\u306a\u308a\u8a9e\u306f6,132\u3002<\/p>\n<div style=\"background-color: lightgray; padding: 10px;\">\n<pre>#!\/usr\/bin\/env python\r\n#-*- coding: utf-8 -*-\r\n\r\nimport nltk\r\n\r\ndef main():\r\n    #print nltk.corpus.gutenberg.fileids()\r\n    persuasion = nltk.corpus.gutenberg.words('austen-persuasion.txt')\r\n    print len(persuasion)\r\n    print len(set(persuasion))\r\n\r\nif __name__ == '__main__':\r\n    main()<\/pre>\n<\/div>\n<p>\u3010\u7b2c\uff13\u554f\u3011<\/p>\n<p>NLTK\u306e\u30d6\u30e9\u30a6\u30f3\u30b3\u30fc\u30d1\u30b9\u30ea\u30fc\u30c0\u30fcnltk.corpus.brown.words()\u3068\u30a6\u30a7\u30d6\u30c6\u30ad\u30b9\u30c8\u30b3\u30fc\u30d1\u30b9\u30ea\u30fc\u30c0\u30fcnltk.corpus.webtext.words()\u3092\u5229\u7528\u3057\u3066\uff12\u3064\u306e\u7570\u306a\u308b\u30b8\u30e3\u30f3\u30eb\u306e\u30c6\u30ad\u30b9\u30c8\u306b\u3044\u304f\u3064\u304b\u30a2\u30af\u30bb\u30b9\u3057\u3088\u3046\u3002<\/p>\n<div style=\"background-color: lightgray; padding: 10px;\">\n<pre>#!\/usr\/bin\/env python\r\n#-*- coding: utf-8 -*-\r\n\r\nimport nltk\r\n\r\ndef main():\r\n    #print nltk.corpus.brown.categories()\r\n    print nltk.corpus.brown.words(categories='news')\r\n\r\n    #print nltk.corpus.webtext.fileids()\r\n    print nltk.corpus.webtext.words(fileids='firefox.txt')\r\n\r\nif __name__ == '__main__':\r\n    main()<\/pre>\n<\/div>\n<p>\u3010\u7b2c\uff14\u554f\u3011<\/p>\n<p>state_union\u30b3\u30fc\u30d1\u30b9\u30ea\u30fc\u30c0\u30fc\u3092\u7528\u3044\u3066State of Union addresses\u306e\u30c6\u30ad\u30b9\u30c8\u3092\u8aad\u307f\u8fbc\u3082\u3046\u3002\u5404\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u306b\u3064\u3044\u3066\u3001men\u3001women\u3001people\u306e\u51fa\u73fe\u56de\u6570\u3092\u6570\u3048\u3088\u3046\u3002\u305d\u308c\u3089\u306e\u5358\u8a9e\u306e\u4f7f\u308f\u308c\u65b9\u306b\u3064\u3044\u3066\u3001\u6642\u4ee3\u3068\u3068\u3082\u306b\u5909\u5316\u304c\u3042\u3063\u305f\u304b\u3069\u3046\u304b\u3092\u8abf\u3079\u3066\u307f\u3088\u3046\u3002<\/p>\n<p>\u5404\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u5185\u306emen, women, people\u306e\u51fa\u73fe\u56de\u6570\u3092\u51fa\u529b\u3002<\/p>\n<div style=\"background-color: lightgray; padding: 10px;\">\n<pre>#!\/usr\/bin\/env python\r\n#-*- coding: utf-8 -*-\r\n\r\nimport nltk\r\n\r\ndef main():\r\n    for file in nltk.corpus.state_union.fileids():\r\n        words = [w.lower() for w in nltk.corpus.state_union.words(fileids=file)]\r\n        freq = nltk.FreqDist(words)\r\n        print '\u3010' + file + '\u3011'\r\n        print 'men=%s, women=%s, people=%s' % (freq['men'],\r\n                                               freq['women'],\r\n                                               freq['people'])\r\n\r\nif __name__ == '__main__':\r\n    main()<\/pre>\n<\/div>\n<p>\u6642\u4ee3\u3068\u3068\u3082\u306b\u5909\u5316\u304c\u3042\u3063\u305f\u304b\u3069\u3046\u304b\u3092\u8abf\u3079\u308b\u305f\u3081\u306b\u30b0\u30e9\u30d5\u306b\u3059\u308b\u3002<\/p>\n<div style=\"background-color: lightgray; padding: 10px;\">\n<pre>#!\/usr\/bin\/env python\r\n#-*- coding: utf-8 -*-\r\n\r\nimport nltk\r\n\r\ndef main():\r\n    cfd = nltk.ConditionalFreqDist(\r\n        (target, file[:4])\r\n        for file in nltk.corpus.state_union.fileids()\r\n        for w in nltk.corpus.state_union.words(file)\r\n        for target in ['men', 'women', 'people']\r\n        if w.lower().startswith(target))\r\n    print cfd.plot()\r\n\r\nif __name__ == '__main__':\r\n    main()<\/pre>\n<\/div>\n<p>\u3053\u306e\u3088\u3046\u306a\u30b0\u30e9\u30d5\u304c\u8868\u793a\u3055\u308c\u308b\u3002<\/p>\n<div><img decoding=\"async\" src=\"http:\/\/www.sigmadesign.co.jp\/minomonchan\/wp-content\/uploads\/sites\/2\/2013\/11\/p79_4.jpg\" border=\"0\" \/><\/div>\n<p>\u3010\u7b2c\uff15\u554f\u3011<\/p>\n<p>\u3044\u304f\u3064\u304b\u306e\u540d\u8a5e\u306b\u3064\u3044\u3066\u3001\u30db\u30ed\u30cb\u30e0\u3068\u30e1\u30ed\u30cb\u30e0\u306e\u95a2\u4fc2\u306b\u3064\u3044\u3066\u8abf\u3079\u308b\u3002\u30db\u30ed\u30cb\u30e0\u3068\u30e1\u30ed\u30cb\u30e0\u306e\u95a2\u4fc2\u306b\u306f\uff13\u7a2e\u985e\u3042\u308b\u306e\u3067\u3001member_meronyms()\u3001part_meronyms()\u3001substance_meronyms()\u3001member_holonyms()\u3001part_holonyms()\u3001substance_holonyms()\u3092\u4f7f\u3046\u5fc5\u8981\u304c\u3042\u308b\u3002<\/p>\n<p>human\u3067\u3084\u3063\u3066\u307f\u305f\u3002<\/p>\n<div style=\"background-color: lightgray; padding: 10px;\">\n<pre>#!\/usr\/bin\/env python\r\n#-*- coding: utf-8 -*-\r\n\r\nfrom nltk.corpus import wordnet as wn\r\n\r\ndef main():\r\n    for synset in wn.synsets('human', wn.NOUN):\r\n        print synset.name + ':', synset.definition\r\n    print wn.synset('human.n.01').member_meronyms()\r\n    print wn.synset('human.n.01').part_meronyms()\r\n    print wn.synset('human.n.01').substance_meronyms()\r\n    print wn.synset('human.n.01').member_holonyms()\r\n    print wn.synset('human.n.01').part_holonyms()\r\n    print wn.synset('human.n.01').substance_holonyms()\r\n\r\nif __name__ == '__main__':\r\n    main()<\/pre>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>\u6587\u5b57\u5b9f\u3053\u306e\u8a18\u4e8b\u306f\u3001\u682a\u5f0f\u4f1a\u793e\u30b7\u30b0\u30de\u30fb\u30c7\u30b6\u30a4\u30f3\u793e\u9577\u306e\u6587\u5b57\u5b9f\u304c\u57f7\u7b46\u3057\u307e\u3057\u305f\u3002<\/p>\n","protected":false},"author":1,"featured_media":361,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[75],"tags":[33,55],"class_list":["post-360","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology","tag-python","tag-55"],"_links":{"self":[{"href":"https:\/\/www.sigmadesign.co.jp\/minomonchan\/wp-json\/wp\/v2\/posts\/360","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.sigmadesign.co.jp\/minomonchan\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.sigmadesign.co.jp\/minomonchan\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.sigmadesign.co.jp\/minomonchan\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.sigmadesign.co.jp\/minomonchan\/wp-json\/wp\/v2\/comments?post=360"}],"version-history":[{"count":0,"href":"https:\/\/www.sigmadesign.co.jp\/minomonchan\/wp-json\/wp\/v2\/posts\/360\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.sigmadesign.co.jp\/minomonchan\/wp-json\/wp\/v2\/media\/361"}],"wp:attachment":[{"href":"https:\/\/www.sigmadesign.co.jp\/minomonchan\/wp-json\/wp\/v2\/media?parent=360"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.sigmadesign.co.jp\/minomonchan\/wp-json\/wp\/v2\/categories?post=360"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.sigmadesign.co.jp\/minomonchan\/wp-json\/wp\/v2\/tags?post=360"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}