{"id":479155,"date":"2023-08-09T10:31:59","date_gmt":"2023-08-09T10:31:59","guid":{"rendered":""},"modified":"2023-09-05T11:18:15","modified_gmt":"2023-09-05T11:18:15","slug":"stemming-in-natural-language-processing","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/jp\/wiki\/stemming-in-natural-language-processing\/","title":{"rendered":"\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u306b\u304a\u3051\u308b\u30b9\u30c6\u30df\u30f3\u30b0"},"content":{"rendered":"

\u81ea\u7136\u8a00\u8a9e\u51e6\u7406 (NLP) \u306b\u304a\u3051\u308b\u30b9\u30c6\u30df\u30f3\u30b0\u306f\u3001\u5358\u8a9e\u3092\u57fa\u672c\u5f62\u307e\u305f\u306f\u8a9e\u6e90\u306b\u77ed\u7e2e\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u308b\u57fa\u672c\u7684\u306a\u624b\u6cd5\u3067\u3059\u3002\u3053\u306e\u30d7\u30ed\u30bb\u30b9\u306f\u5358\u8a9e\u306e\u6a19\u6e96\u5316\u3068\u7c21\u7d20\u5316\u306b\u5f79\u7acb\u3061\u3001NLP \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u304c\u30c6\u30ad\u30b9\u30c8\u3092\u3088\u308a\u52b9\u7387\u7684\u306b\u51e6\u7406\u3067\u304d\u308b\u3088\u3046\u306b\u3057\u307e\u3059\u3002\u30b9\u30c6\u30df\u30f3\u30b0\u306f\u3001\u60c5\u5831\u691c\u7d22\u3001\u691c\u7d22\u30a8\u30f3\u30b8\u30f3\u3001\u611f\u60c5\u5206\u6790\u3001\u6a5f\u68b0\u7ffb\u8a33\u306a\u3069\u3001\u3055\u307e\u3056\u307e\u306a NLP \u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306b\u4e0d\u53ef\u6b20\u306a\u8981\u7d20\u3067\u3059\u3002\u3053\u306e\u8a18\u4e8b\u3067\u306f\u3001NLP \u306b\u304a\u3051\u308b\u30b9\u30c6\u30df\u30f3\u30b0\u306e\u6b74\u53f2\u3001\u4ed5\u7d44\u307f\u3001\u7a2e\u985e\u3001\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3001\u5c06\u6765\u306e\u5c55\u671b\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u3001\u7279\u306b OneProxy \u306e\u89b3\u70b9\u304b\u3089\u3001\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u3068\u306e\u6f5c\u5728\u7684\u306a\u95a2\u9023\u6027\u306b\u3064\u3044\u3066\u3082\u6398\u308a\u4e0b\u3052\u307e\u3059\u3002<\/p>\n

\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u306b\u304a\u3051\u308b\u30b9\u30c6\u30df\u30f3\u30b0\u306e\u8d77\u6e90\u3068\u305d\u306e\u6700\u521d\u306e\u8a00\u53ca\u306e\u6b74\u53f2\u3002<\/h2>\n

\u30b9\u30c6\u30df\u30f3\u30b0\u306e\u6982\u5ff5\u306f\u30011960 \u5e74\u4ee3\u306e\u8a08\u7b97\u8a00\u8a9e\u5b66\u306e\u9ece\u660e\u671f\u306b\u307e\u3067\u9061\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u30021980 \u5e74\u306b Paice \u304c\u958b\u767a\u3057\u305f Lancaster \u30b9\u30c6\u30df\u30f3\u30b0\u306f\u3001\u6700\u3082\u521d\u671f\u306e\u30b9\u30c6\u30df\u30f3\u30b0 \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e 1 \u3064\u3067\u3057\u305f\u3002\u540c\u3058\u6642\u4ee3\u306b\u30011980 \u5e74\u306b Martin Porter \u304c\u5c0e\u5165\u3057\u305f Porter \u30b9\u30c6\u30df\u30f3\u30b0\u304c\u5927\u304d\u306a\u4eba\u6c17\u3092\u535a\u3057\u3001\u73fe\u5728\u3067\u3082\u5e83\u304f\u4f7f\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002Porter \u30b9\u30c6\u30df\u30f3\u30b0 \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u3001\u82f1\u8a9e\u306e\u5358\u8a9e\u3092\u51e6\u7406\u3059\u308b\u305f\u3081\u306b\u8a2d\u8a08\u3055\u308c\u3001\u5358\u8a9e\u3092\u8a9e\u6e90\u306e\u5f62\u306b\u5207\u308a\u8a70\u3081\u308b\u30d2\u30e5\u30fc\u30ea\u30b9\u30c6\u30a3\u30c3\u30af \u30eb\u30fc\u30eb\u306b\u57fa\u3065\u3044\u3066\u3044\u307e\u3059\u3002<\/p>\n

\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u306b\u304a\u3051\u308b\u30b9\u30c6\u30df\u30f3\u30b0\u306b\u95a2\u3059\u308b\u8a73\u7d30\u60c5\u5831\u3002\u30c8\u30d4\u30c3\u30af\u300c\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u306b\u304a\u3051\u308b\u30b9\u30c6\u30df\u30f3\u30b0\u300d\u3092\u62e1\u5f35\u3057\u307e\u3059\u3002<\/h2>\n

\u30b9\u30c6\u30df\u30f3\u30b0\u306f\u3001\u7279\u306b\u5927\u898f\u6a21\u306a\u30c6\u30ad\u30b9\u30c8\u30b3\u30fc\u30d1\u30b9\u3092\u6271\u3046\u5834\u5408\u3001NLP \u306e\u91cd\u8981\u306a\u524d\u51e6\u7406\u30b9\u30c6\u30c3\u30d7\u3067\u3059\u3002\u8a9e\u5c3e\u3084\u63a5\u982d\u8f9e\u3092\u5358\u8a9e\u304b\u3089\u524a\u9664\u3057\u3066\u3001\u8a9e\u5e79\u3068\u547c\u3070\u308c\u308b\u8a9e\u6e90\u307e\u305f\u306f\u57fa\u672c\u5f62\u3092\u53d6\u5f97\u3057\u307e\u3059\u3002\u5358\u8a9e\u3092\u8a9e\u5e79\u306b\u7e2e\u5c0f\u3059\u308b\u3053\u3068\u3067\u3001\u540c\u3058\u5358\u8a9e\u306e\u30d0\u30ea\u30a8\u30fc\u30b7\u30e7\u30f3\u3092\u30b0\u30eb\u30fc\u30d7\u5316\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u3001\u60c5\u5831\u691c\u7d22\u3068\u691c\u7d22\u30a8\u30f3\u30b8\u30f3\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u304c\u5411\u4e0a\u3057\u307e\u3059\u3002\u305f\u3068\u3048\u3070\u3001\u300crunning\u300d\u3001\u300cruns\u300d\u3001\u300cran\u300d\u306a\u3069\u306e\u5358\u8a9e\u306f\u3059\u3079\u3066\u8a9e\u5e79\u304b\u3089\u300crun\u300d\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n

\u30b9\u30c6\u30df\u30f3\u30b0\u306f\u3001\u5358\u8a9e\u306e\u6b63\u78ba\u306a\u4e00\u81f4\u304c\u6c42\u3081\u3089\u308c\u305a\u3001\u5358\u8a9e\u306e\u4e00\u822c\u7684\u306a\u610f\u5473\u306b\u91cd\u70b9\u304c\u7f6e\u304b\u308c\u308b\u5834\u5408\u306b\u7279\u306b\u91cd\u8981\u3067\u3059\u3002\u3053\u308c\u306f\u3001\u500b\u3005\u306e\u5358\u8a9e\u306e\u5f62\u5f0f\u3088\u308a\u3082\u6587\u306e\u6839\u5e95\u306b\u3042\u308b\u611f\u60c5\u3092\u7406\u89e3\u3059\u308b\u3053\u3068\u304c\u91cd\u8981\u306a\u611f\u60c5\u5206\u6790\u306a\u3069\u306e\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3067\u7279\u306b\u5f79\u7acb\u3061\u307e\u3059\u3002<\/p>\n

\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u306b\u304a\u3051\u308b\u30b9\u30c6\u30df\u30f3\u30b0\u306e\u5185\u90e8\u69cb\u9020\u3002\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u306b\u304a\u3051\u308b\u30b9\u30c6\u30df\u30f3\u30b0\u306e\u4ed5\u7d44\u307f\u3002<\/h2>\n

\u30b9\u30c6\u30df\u30f3\u30b0 \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u3001\u4e00\u822c\u7684\u306b\u4e00\u9023\u306e\u30eb\u30fc\u30eb\u307e\u305f\u306f\u30d2\u30e5\u30fc\u30ea\u30b9\u30c6\u30a3\u30c3\u30af\u306b\u5f93\u3063\u3066\u3001\u5358\u8a9e\u304b\u3089\u63a5\u982d\u8f9e\u307e\u305f\u306f\u63a5\u5c3e\u8f9e\u3092\u524a\u9664\u3057\u307e\u3059\u3002\u3053\u306e\u30d7\u30ed\u30bb\u30b9\u306f\u3001\u4e00\u9023\u306e\u8a00\u8a9e\u5909\u63db\u3068\u3057\u3066\u8003\u3048\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u6b63\u78ba\u306a\u624b\u9806\u3068\u30eb\u30fc\u30eb\u306f\u3001\u4f7f\u7528\u3059\u308b\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306b\u3088\u3063\u3066\u7570\u306a\u308a\u307e\u3059\u3002\u30b9\u30c6\u30df\u30f3\u30b0\u306e\u4ed5\u7d44\u307f\u306e\u6982\u8981\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/p>\n

    \n
  1. \u30c8\u30fc\u30af\u30f3\u5316: \u30c6\u30ad\u30b9\u30c8\u306f\u500b\u3005\u306e\u5358\u8a9e\u307e\u305f\u306f\u30c8\u30fc\u30af\u30f3\u306b\u5206\u5272\u3055\u308c\u307e\u3059\u3002<\/li>\n
  2. \u63a5\u8f9e\u306e\u524a\u9664: \u5404\u5358\u8a9e\u304b\u3089\u63a5\u982d\u8f9e\u3068\u63a5\u5c3e\u8f9e\u304c\u524a\u9664\u3055\u308c\u307e\u3059\u3002<\/li>\n
  3. \u8a9e\u5e79\u5316: \u5358\u8a9e\u306e\u6b8b\u308a\u306e\u8a9e\u6e90 (\u8a9e\u5e79) \u304c\u5f97\u3089\u308c\u307e\u3059\u3002<\/li>\n
  4. \u7d50\u679c: \u30b9\u30c6\u30df\u30f3\u30b0\u3055\u308c\u305f\u30c8\u30fc\u30af\u30f3\u306f\u3001\u3055\u3089\u306a\u308b NLP \u30bf\u30b9\u30af\u3067\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002<\/li>\n<\/ol>\n

    \u5404\u30b9\u30c6\u30df\u30f3\u30b0 \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u3001\u63a5\u5c3e\u8f9e\u3092\u8b58\u5225\u3057\u3066\u524a\u9664\u3059\u308b\u305f\u3081\u306b\u72ec\u81ea\u306e\u30eb\u30fc\u30eb\u3092\u9069\u7528\u3057\u307e\u3059\u3002\u305f\u3068\u3048\u3070\u3001Porter \u30b9\u30c6\u30df\u30f3\u30b0 \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u4e00\u9023\u306e\u63a5\u5c3e\u8f9e\u9664\u53bb\u30eb\u30fc\u30eb\u3092\u4f7f\u7528\u3057\u307e\u3059\u304c\u3001Snowball \u30b9\u30c6\u30df\u30f3\u30b0 \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u8907\u6570\u306e\u8a00\u8a9e\u306b\u5bfe\u3059\u308b\u3088\u308a\u5e83\u7bc4\u306a\u8a00\u8a9e\u30eb\u30fc\u30eb \u30bb\u30c3\u30c8\u3092\u7d44\u307f\u8fbc\u3093\u3067\u3044\u307e\u3059\u3002<\/p>\n

    \u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u306b\u304a\u3051\u308b\u30b9\u30c6\u30df\u30f3\u30b0\u306e\u4e3b\u8981\u306a\u7279\u5fb4\u306e\u5206\u6790\u3002<\/h2>\n

    NLP \u306b\u304a\u3051\u308b\u30b9\u30c6\u30df\u30f3\u30b0\u306e\u4e3b\u306a\u7279\u5fb4\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/p>\n

      \n
    1. \n

      \u30b7\u30f3\u30d7\u30eb\u3055<\/strong>: \u30b9\u30c6\u30df\u30f3\u30b0 \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u5b9f\u88c5\u304c\u6bd4\u8f03\u7684\u7c21\u5358\u306a\u306e\u3067\u3001\u5927\u898f\u6a21\u306a\u30c6\u30ad\u30b9\u30c8\u51e6\u7406\u30bf\u30b9\u30af\u306b\u5bfe\u3057\u3066\u8a08\u7b97\u52b9\u7387\u304c\u9ad8\u304f\u306a\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n

    2. \n

      \u6b63\u898f\u5316<\/strong>: \u30b9\u30c6\u30df\u30f3\u30b0\u306f\u5358\u8a9e\u306e\u6b63\u898f\u5316\u306b\u5f79\u7acb\u3061\u3001\u8a9e\u5f62\u5909\u5316\u3057\u305f\u5f62\u3092\u5171\u901a\u306e\u57fa\u672c\u5f62\u306b\u7e2e\u5c0f\u3057\u3066\u3001\u95a2\u9023\u3059\u308b\u5358\u8a9e\u3092\u30b0\u30eb\u30fc\u30d7\u5316\u3059\u308b\u306e\u306b\u5f79\u7acb\u3061\u307e\u3059\u3002<\/p>\n<\/li>\n

    3. \n

      \u691c\u7d22\u7d50\u679c\u306e\u6539\u5584<\/strong>: \u30b9\u30c6\u30df\u30f3\u30b0\u306f\u3001\u985e\u4f3c\u3057\u305f\u8a9e\u5f62\u3092\u540c\u3058\u3082\u306e\u3068\u3057\u3066\u6271\u3046\u3053\u3068\u3067\u60c5\u5831\u691c\u7d22\u3092\u5f37\u5316\u3057\u3001\u3088\u308a\u95a2\u9023\u6027\u306e\u9ad8\u3044\u691c\u7d22\u7d50\u679c\u3092\u3082\u305f\u3089\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n

    4. \n

      \u8a9e\u5f59\u306e\u524a\u6e1b<\/strong>: \u30b9\u30c6\u30df\u30f3\u30b0\u306f\u985e\u4f3c\u3057\u305f\u5358\u8a9e\u3092\u307e\u3068\u3081\u308b\u3053\u3068\u3067\u8a9e\u5f59\u306e\u30b5\u30a4\u30ba\u3092\u7e2e\u5c0f\u3057\u3001\u30c6\u30ad\u30b9\u30c8 \u30c7\u30fc\u30bf\u306e\u4fdd\u5b58\u3068\u51e6\u7406\u3092\u3088\u308a\u52b9\u7387\u7684\u306b\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n

    5. \n

      \u8a00\u8a9e\u4f9d\u5b58<\/strong>: \u307b\u3068\u3093\u3069\u306e\u30b9\u30c6\u30df\u30f3\u30b0 \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u7279\u5b9a\u306e\u8a00\u8a9e\u5411\u3051\u306b\u8a2d\u8a08\u3055\u308c\u3066\u304a\u308a\u3001\u4ed6\u306e\u8a00\u8a9e\u3067\u306f\u6700\u9069\u306b\u6a5f\u80fd\u3057\u306a\u3044\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002\u6b63\u78ba\u306a\u7d50\u679c\u3092\u5f97\u308b\u306b\u306f\u3001\u8a00\u8a9e\u56fa\u6709\u306e\u30b9\u30c6\u30df\u30f3\u30b0 \u30eb\u30fc\u30eb\u306e\u958b\u767a\u304c\u4e0d\u53ef\u6b20\u3067\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n

      \u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u306b\u304a\u3051\u308b\u30b9\u30c6\u30df\u30f3\u30b0\u306e\u7a2e\u985e<\/h2>\n

      NLP \u3067\u4f7f\u7528\u3055\u308c\u308b\u4e00\u822c\u7684\u306a\u30b9\u30c6\u30df\u30f3\u30b0 \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u3044\u304f\u3064\u304b\u3042\u308a\u307e\u3059\u304c\u3001\u305d\u308c\u305e\u308c\u306b\u9577\u6240\u3068\u9650\u754c\u304c\u3042\u308a\u307e\u3059\u3002\u4e00\u822c\u7684\u306a\u30b9\u30c6\u30df\u30f3\u30b0 \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306b\u306f\u6b21\u306e\u3088\u3046\u306a\u3082\u306e\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n\n\n\n\n\n\n\n\n
      \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0<\/th>\n\u8aac\u660e<\/th>\n<\/tr>\n<\/thead>\n
      \u30dd\u30fc\u30bf\u30fc\u30b9\u30c6\u30df\u30f3\u30b0<\/td>\n\u82f1\u8a9e\u306e\u5358\u8a9e\u306b\u5e83\u304f\u4f7f\u7528\u3055\u308c\u3066\u304a\u308a\u3001\u30b7\u30f3\u30d7\u30eb\u3067\u52b9\u7387\u7684\u3067\u3059\u3002<\/td>\n<\/tr>\n
      \u30b9\u30ce\u30fc\u30dc\u30fc\u30eb\u30b9\u30c6\u30df\u30f3\u30b0<\/td>\nPorter \u30b9\u30c6\u30df\u30f3\u30b0\u306e\u62e1\u5f35\u3067\u3042\u308a\u3001\u8907\u6570\u306e\u8a00\u8a9e\u3092\u30b5\u30dd\u30fc\u30c8\u3057\u307e\u3059\u3002<\/td>\n<\/tr>\n
      \u30e9\u30f3\u30ab\u30b9\u30bf\u30fc\u30b9\u30c6\u30df\u30f3\u30b0<\/td>\n\u30dd\u30fc\u30bf\u30fc\u30b9\u30c6\u30df\u30f3\u30b0\u3088\u308a\u3082\u30a2\u30b0\u30ec\u30c3\u30b7\u30d6\u3067\u3001\u30b9\u30d4\u30fc\u30c9\u3092\u91cd\u8996\u3057\u307e\u3059\u3002<\/td>\n<\/tr>\n
      \u30ed\u30d3\u30f3\u30ba\u30b9\u30c6\u30df\u30f3\u30b0<\/td>\n\u4e0d\u898f\u5247\u306a\u5358\u8a9e\u5f62\u5f0f\u3092\u3088\u308a\u52b9\u679c\u7684\u306b\u51e6\u7406\u3059\u308b\u305f\u3081\u306b\u958b\u767a\u3055\u308c\u307e\u3057\u305f\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      \u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u306b\u304a\u3051\u308b\u30b9\u30c6\u30df\u30f3\u30b0\u306e\u4f7f\u7528\u65b9\u6cd5\u3001\u4f7f\u7528\u306b\u95a2\u9023\u3059\u308b\u554f\u984c\u3068\u305d\u306e\u89e3\u6c7a\u7b56\u3002<\/h2>\n

      \u30b9\u30c6\u30df\u30f3\u30b0\u306f\u3055\u307e\u3056\u307e\u306a NLP \u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3067\u5229\u7528\u3067\u304d\u307e\u3059\u3002<\/p>\n

        \n
      1. \n

        \u60c5\u5831\u691c\u7d22<\/strong>: \u30b9\u30c6\u30df\u30f3\u30b0\u306f\u3001\u30af\u30a8\u30ea\u7528\u8a9e\u3068\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u3055\u308c\u305f\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u3092\u57fa\u672c\u5f62\u5f0f\u306b\u5909\u63db\u3057\u3066\u4e00\u81f4\u3092\u6539\u5584\u3059\u308b\u3053\u3068\u3067\u3001\u691c\u7d22\u30a8\u30f3\u30b8\u30f3\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u5411\u4e0a\u3055\u305b\u308b\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002<\/p>\n<\/li>\n

      2. \n

        \u611f\u60c5\u5206\u6790<\/strong>\u611f\u60c5\u5206\u6790\u3067\u306f\u3001\u30b9\u30c6\u30df\u30f3\u30b0\u306b\u3088\u3063\u3066\u5358\u8a9e\u306e\u30d0\u30ea\u30a8\u30fc\u30b7\u30e7\u30f3\u304c\u524a\u6e1b\u3055\u308c\u3001\u6587\u306e\u611f\u60c5\u304c\u52b9\u679c\u7684\u306b\u6349\u3048\u3089\u308c\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n

      3. \n

        \u6a5f\u68b0\u7ffb\u8a33<\/strong>: \u7ffb\u8a33\u524d\u306b\u30c6\u30ad\u30b9\u30c8\u3092\u524d\u51e6\u7406\u3059\u308b\u305f\u3081\u306b\u30b9\u30c6\u30df\u30f3\u30b0\u304c\u9069\u7528\u3055\u308c\u3001\u8a08\u7b97\u306e\u8907\u96d1\u3055\u304c\u8efd\u6e1b\u3055\u308c\u3001\u7ffb\u8a33\u306e\u54c1\u8cea\u304c\u5411\u4e0a\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n

        \u5229\u70b9\u304c\u3042\u308b\u306b\u3082\u304b\u304b\u308f\u3089\u305a\u3001\u30b9\u30c6\u30df\u30f3\u30b0\u306b\u306f\u3044\u304f\u3064\u304b\u306e\u6b20\u70b9\u3082\u3042\u308a\u307e\u3059\u3002<\/p>\n

          \n
        1. \n

          \u30aa\u30fc\u30d0\u30fc\u30b9\u30c6\u30df\u30f3\u30b0<\/strong>: \u4e00\u90e8\u306e\u30b9\u30c6\u30df\u30f3\u30b0 \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3067\u306f\u5358\u8a9e\u304c\u904e\u5ea6\u306b\u5207\u308a\u6368\u3066\u3089\u308c\u3001\u30b3\u30f3\u30c6\u30ad\u30b9\u30c8\u304c\u5931\u308f\u308c\u3001\u89e3\u91c8\u304c\u4e0d\u6b63\u78ba\u306b\u306a\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n

        2. \n

          \u30a2\u30f3\u30c0\u30fc\u30b9\u30c6\u30df\u30f3\u30b0<\/strong>\u5bfe\u7167\u7684\u306b\u3001\u7279\u5b9a\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3067\u306f\u63a5\u8f9e\u304c\u5341\u5206\u306b\u524a\u9664\u3055\u308c\u305a\u3001\u5358\u8a9e\u306e\u30b0\u30eb\u30fc\u30d7\u5316\u306e\u6709\u52b9\u6027\u304c\u4f4e\u4e0b\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n

          \u3053\u308c\u3089\u306e\u554f\u984c\u306b\u5bfe\u51e6\u3059\u308b\u305f\u3081\u306b\u3001\u7814\u7a76\u8005\u306f\u8907\u6570\u306e\u30b9\u30c6\u30df\u30f3\u30b0\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u7d44\u307f\u5408\u308f\u305b\u305f\u308a\u3001\u3088\u308a\u9ad8\u5ea6\u306a\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u6280\u8853\u3092\u4f7f\u7528\u3057\u3066\u7cbe\u5ea6\u3092\u5411\u4e0a\u3055\u305b\u308b\u30cf\u30a4\u30d6\u30ea\u30c3\u30c9\u30a2\u30d7\u30ed\u30fc\u30c1\u3092\u63d0\u6848\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n

          \u4e3b\u306a\u7279\u5fb4\u3084\u305d\u306e\u4ed6\u306e\u985e\u4f3c\u7528\u8a9e\u3068\u306e\u6bd4\u8f03\u3092\u8868\u3084\u30ea\u30b9\u30c8\u306e\u5f62\u5f0f\u3067\u793a\u3057\u307e\u3059\u3002<\/h2>\n

          \u30b9\u30c6\u30df\u30f3\u30b0\u3068\u30ec\u30de\u30bf\u30a4\u30ba<\/strong>:<\/p>\n\n\n\n\n\n\n\n
          \u5074\u9762<\/th>\n\u30b9\u30c6\u30df\u30f3\u30b0<\/th>\n\u898b\u51fa\u3057\u8a9e\u5316<\/th>\n<\/tr>\n<\/thead>\n
          \u51fa\u529b<\/td>\n\u5358\u8a9e\u306e\u57fa\u672c\u5f62\uff08\u8a9e\u5e79\uff09<\/td>\n\u5358\u8a9e\u306e\u8f9e\u66f8\u5f62\u5f0f\uff08\u30ec\u30de\uff09<\/td>\n<\/tr>\n
          \u6b63\u78ba\u3055<\/td>\n\u7cbe\u5ea6\u304c\u4f4e\u304f\u3001\u8f9e\u66f8\u306b\u8f09\u3063\u3066\u3044\u306a\u3044\u5358\u8a9e\u304c\u51fa\u3066\u304f\u308b\u53ef\u80fd\u6027\u304c\u3042\u308b<\/td>\n\u3088\u308a\u6b63\u78ba\u3067\u3001\u6709\u52b9\u306a\u8f9e\u66f8\u306e\u5358\u8a9e\u3092\u751f\u6210\u3057\u307e\u3059<\/td>\n<\/tr>\n
          \u4f7f\u7528\u4e8b\u4f8b<\/td>\n\u60c5\u5831\u691c\u7d22\u3001\u691c\u7d22\u30a8\u30f3\u30b8\u30f3<\/td>\n\u30c6\u30ad\u30b9\u30c8\u5206\u6790\u3001\u8a00\u8a9e\u7406\u89e3\u3001\u6a5f\u68b0\u5b66\u7fd2<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

          \u30b9\u30c6\u30df\u30f3\u30b0\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u6bd4\u8f03<\/strong>:<\/p>\n\n\n\n\n\n\n\n\n
          \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0<\/th>\n\u5229\u70b9<\/th>\n\u5236\u9650\u4e8b\u9805<\/th>\n<\/tr>\n<\/thead>\n
          \u30dd\u30fc\u30bf\u30fc\u30b9\u30c6\u30df\u30f3\u30b0<\/td>\n\u30b7\u30f3\u30d7\u30eb\u3067\u5e83\u304f\u4f7f\u308f\u308c\u3066\u3044\u308b<\/td>\n\u7279\u5b9a\u306e\u5358\u8a9e\u304c\u904e\u5270\u8a9e\u5e79\u307e\u305f\u306f\u4e0d\u8db3\u8a9e\u5e79\u306b\u306a\u308b\u3053\u3068\u304c\u3042\u308b<\/td>\n<\/tr>\n
          \u30b9\u30ce\u30fc\u30dc\u30fc\u30eb\u30b9\u30c6\u30df\u30f3\u30b0<\/td>\n\u591a\u8a00\u8a9e\u30b5\u30dd\u30fc\u30c8<\/td>\n\u4ed6\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3088\u308a\u3082\u9045\u3044<\/td>\n<\/tr>\n
          \u30e9\u30f3\u30ab\u30b9\u30bf\u30fc\u30b9\u30c6\u30df\u30f3\u30b0<\/td>\n\u30b9\u30d4\u30fc\u30c9\u3068\u7a4d\u6975\u6027<\/td>\n\u653b\u6483\u7684\u306b\u306a\u308a\u3059\u304e\u308b\u3068\u610f\u5473\u304c\u5931\u308f\u308c\u308b\u53ef\u80fd\u6027\u304c\u3042\u308b<\/td>\n<\/tr>\n
          \u30ed\u30d3\u30f3\u30ba\u30b9\u30c6\u30df\u30f3\u30b0<\/td>\n\u4e0d\u898f\u5247\u306a\u8a9e\u5f62\u306b\u3082\u52b9\u679c\u7684<\/td>\n\u82f1\u8a9e\u4ee5\u5916\u306e\u8a00\u8a9e\u306e\u30b5\u30dd\u30fc\u30c8\u306f\u9650\u5b9a\u7684<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

          \u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u306b\u304a\u3051\u308b\u30b9\u30c6\u30df\u30f3\u30b0\u306b\u95a2\u9023\u3059\u308b\u5c06\u6765\u306e\u5c55\u671b\u3068\u6280\u8853\u3002<\/h2>\n

          NLP \u306b\u304a\u3051\u308b\u30b9\u30c6\u30df\u30f3\u30b0\u306e\u5c06\u6765\u306f\u6709\u671b\u3067\u3042\u308a\u3001\u73fe\u5728\u3082\u4ee5\u4e0b\u306e\u70b9\u306b\u7126\u70b9\u3092\u5f53\u3066\u305f\u7814\u7a76\u3068\u9032\u6b69\u304c\u9032\u3081\u3089\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n

            \n
          1. \n

            \u30b3\u30f3\u30c6\u30ad\u30b9\u30c8\u8a8d\u8b58\u30b9\u30c6\u30df\u30f3\u30b0<\/strong>: \u6587\u8108\u3068\u5468\u56f2\u306e\u5358\u8a9e\u3092\u8003\u616e\u3057\u3066\u904e\u5270\u306a\u30b9\u30c6\u30df\u30f3\u30b0\u3092\u9632\u304e\u3001\u7cbe\u5ea6\u3092\u5411\u4e0a\u3055\u305b\u308b\u30b9\u30c6\u30df\u30f3\u30b0 \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u958b\u767a\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n

          2. \n

            \u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u6280\u8853<\/strong>\u30cb\u30e5\u30fc\u30e9\u30eb \u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3068\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0 \u30e2\u30c7\u30eb\u3092\u6d3b\u7528\u3057\u3066\u3001\u7279\u306b\u8907\u96d1\u306a\u5f62\u614b\u8ad6\u69cb\u9020\u3092\u6301\u3064\u8a00\u8a9e\u306b\u304a\u3051\u308b\u30b9\u30c6\u30df\u30f3\u30b0\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u5411\u4e0a\u3055\u305b\u307e\u3059\u3002<\/p>\n<\/li>\n

          3. \n

            \u591a\u8a00\u8a9e\u30b9\u30c6\u30df\u30f3\u30b0<\/strong>: \u30b9\u30c6\u30df\u30f3\u30b0 \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u62e1\u5f35\u3057\u3066\u8907\u6570\u306e\u8a00\u8a9e\u3092\u52b9\u679c\u7684\u306b\u51e6\u7406\u3057\u3001NLP \u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3067\u3088\u308a\u5e45\u5e83\u3044\u8a00\u8a9e\u30b5\u30dd\u30fc\u30c8\u3092\u53ef\u80fd\u306b\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n

            \u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u306b\u304a\u3051\u308b\u30b9\u30c6\u30df\u30f3\u30b0\u3067\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u3092\u3069\u306e\u3088\u3046\u306b\u4f7f\u7528\u307e\u305f\u306f\u95a2\u9023\u4ed8\u3051\u308b\u304b\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002<\/h2>\n

            OneProxy \u306e\u3088\u3046\u306a\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306f\u3001NLP \u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306b\u304a\u3051\u308b\u30b9\u30c6\u30df\u30f3\u30b0\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u5411\u4e0a\u3055\u305b\u308b\u4e0a\u3067\u91cd\u8981\u306a\u5f79\u5272\u3092\u679c\u305f\u3057\u307e\u3059\u3002\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u3092\u95a2\u9023\u4ed8\u3051\u308b\u65b9\u6cd5\u3092\u3044\u304f\u3064\u304b\u793a\u3057\u307e\u3059\u3002<\/p>\n

              \n
            1. \n

              \u30c7\u30fc\u30bf\u53ce\u96c6<\/strong>: \u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306f\u3001\u3055\u307e\u3056\u307e\u306a\u30bd\u30fc\u30b9\u304b\u3089\u306e\u30c7\u30fc\u30bf\u53ce\u96c6\u3092\u5bb9\u6613\u306b\u3057\u3001\u30b9\u30c6\u30df\u30f3\u30b0 \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306b\u591a\u69d8\u306a\u30c6\u30ad\u30b9\u30c8\u3078\u306e\u30a2\u30af\u30bb\u30b9\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n

            2. \n

              \u30b9\u30b1\u30fc\u30e9\u30d3\u30ea\u30c6\u30a3<\/strong>: \u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306f\u3001NLP \u30bf\u30b9\u30af\u3092\u8907\u6570\u306e\u30ce\u30fc\u30c9\u306b\u5206\u6563\u3067\u304d\u308b\u305f\u3081\u3001\u5927\u898f\u6a21\u306a\u30c6\u30ad\u30b9\u30c8 \u30b3\u30fc\u30d1\u30b9\u306e\u30b9\u30b1\u30fc\u30e9\u30d3\u30ea\u30c6\u30a3\u3068\u51e6\u7406\u901f\u5ea6\u304c\u5411\u4e0a\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n

            3. \n

              \u30b9\u30af\u30ec\u30a4\u30d4\u30f3\u30b0\u306e\u533f\u540d\u6027<\/strong>: NLP \u30bf\u30b9\u30af\u306e\u305f\u3081\u306b Web \u30b5\u30a4\u30c8\u304b\u3089\u30c6\u30ad\u30b9\u30c8\u3092\u30b9\u30af\u30ec\u30a4\u30d4\u30f3\u30b0\u3059\u308b\u5834\u5408\u3001\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306f\u533f\u540d\u6027\u3092\u7dad\u6301\u3057\u3001IP \u30d9\u30fc\u30b9\u306e\u30d6\u30ed\u30c3\u30af\u3092\u9632\u304e\u3001\u4e2d\u65ad\u306e\u306a\u3044\u30c7\u30fc\u30bf\u53d6\u5f97\u3092\u4fdd\u8a3c\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n

              \u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u3092\u6d3b\u7528\u3059\u308b\u3053\u3068\u3067\u3001NLP \u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306f\u3088\u308a\u5e83\u7bc4\u56f2\u306e\u8a00\u8a9e\u30c7\u30fc\u30bf\u306b\u30a2\u30af\u30bb\u30b9\u3057\u3001\u3088\u308a\u52b9\u7387\u7684\u306b\u52d5\u4f5c\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u3001\u6700\u7d42\u7684\u306b\u306f\u30b9\u30c6\u30df\u30f3\u30b0 \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u304c\u5411\u4e0a\u3057\u307e\u3059\u3002<\/p>\n

              \u95a2\u9023\u30ea\u30f3\u30af<\/h2>\n

              \u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u306b\u304a\u3051\u308b\u30b9\u30c6\u30df\u30f3\u30b0\u306e\u8a73\u7d30\u306b\u3064\u3044\u3066\u306f\u3001\u6b21\u306e\u30ea\u30bd\u30fc\u30b9\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n

                \n
              1. \u30b9\u30c6\u30df\u30f3\u30b0\u306e\u7c21\u5358\u306a\u5165\u9580<\/a><\/li>\n
              2. NLTK \u306e\u30b9\u30c6\u30df\u30f3\u30b0 \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u6bd4\u8f03<\/a><\/li>\n
              3. scikit-learn \u306e\u30b9\u30c6\u30df\u30f3\u30b0\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0<\/a><\/li>\n
              4. \u30dd\u30fc\u30bf\u30fc\u30b9\u30c6\u30df\u30f3\u30b0\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0<\/a><\/li>\n
              5. \u30e9\u30f3\u30ab\u30b9\u30bf\u30fc\u30b9\u30c6\u30df\u30f3\u30b0\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0<\/a><\/li>\n<\/ol>\n

                \u7d50\u8ad6\u3068\u3057\u3066\u3001\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u306b\u304a\u3051\u308b\u30b9\u30c6\u30df\u30f3\u30b0\u306f\u3001\u5358\u8a9e\u3092\u7c21\u7565\u5316\u304a\u3088\u3073\u6a19\u6e96\u5316\u3057\u3001\u3055\u307e\u3056\u307e\u306a NLP \u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306e\u52b9\u7387\u3068\u7cbe\u5ea6\u3092\u5411\u4e0a\u3055\u305b\u308b\u91cd\u8981\u306a\u6280\u8853\u3067\u3059\u3002\u6a5f\u68b0\u5b66\u7fd2\u3068 NLP \u7814\u7a76\u306e\u9032\u6b69\u3068\u3068\u3082\u306b\u9032\u5316\u3057\u7d9a\u3051\u3066\u304a\u308a\u3001\u5c06\u6765\u306f\u671f\u5f85\u304c\u6301\u3066\u307e\u3059\u3002OneProxy \u306a\u3069\u306e\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306f\u3001NLP \u30bf\u30b9\u30af\u306e\u30c7\u30fc\u30bf\u53ce\u96c6\u3001\u30b9\u30b1\u30fc\u30e9\u30d3\u30ea\u30c6\u30a3\u3001\u533f\u540d Web \u30b9\u30af\u30ec\u30a4\u30d4\u30f3\u30b0\u3092\u53ef\u80fd\u306b\u3059\u308b\u3053\u3068\u3067\u3001\u30b9\u30c6\u30df\u30f3\u30b0\u3092\u30b5\u30dd\u30fc\u30c8\u304a\u3088\u3073\u5f37\u5316\u3067\u304d\u307e\u3059\u3002NLP \u30c6\u30af\u30ce\u30ed\u30b8\u30fc\u304c\u9032\u6b69\u3057\u7d9a\u3051\u308b\u306b\u3064\u308c\u3066\u3001\u30b9\u30c6\u30df\u30f3\u30b0\u306f\u8a00\u8a9e\u51e6\u7406\u3068\u7406\u89e3\u306e\u57fa\u672c\u7684\u306a\u30b3\u30f3\u30dd\u30fc\u30cd\u30f3\u30c8\u3067\u3042\u308a\u7d9a\u3051\u308b\u3067\u3057\u3087\u3046\u3002<\/p>","protected":false},"featured_media":470607,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-479155","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about Stemming in Natural Language Processing<\/mark>","faq_items":[{"question":"What is Stemming in Natural Language Processing?","answer":"

                Stemming in Natural Language Processing (NLP) is a technique used to reduce words to their base or root form. It simplifies words by removing suffixes and prefixes, enabling NLP algorithms to process text more efficiently.<\/p>"},{"question":"How does Stemming work?","answer":"

                Stemming algorithms follow specific rules to remove affixes from words and obtain their root form, known as the stem. This process involves tokenization, affix removal, and stemming.<\/p>"},{"question":"What are the key features of Stemming in NLP?","answer":"

                The key features of stemming include its simplicity, normalization of words, improved search results, reduced vocabulary size, and language dependency. Stemming is particularly useful for information retrieval and sentiment analysis.<\/p>"},{"question":"What types of Stemming algorithms exist?","answer":"

                Several popular stemming algorithms are used in NLP, including Porter Stemming, Snowball Stemming, Lancaster Stemming, and Lovins Stemming. Each algorithm has its strengths and limitations.<\/p>"},{"question":"In which NLP applications is Stemming used?","answer":"

                Stemming is employed in various NLP applications, such as information retrieval, search engines, sentiment analysis, and machine translation. It aids in improving search engine performance and enhancing sentiment analysis accuracy.<\/p>"},{"question":"What are the advantages of Stemming?","answer":"

                Stemming simplifies words, normalizes vocabulary, and reduces computational complexity. It is particularly beneficial when exact word matching is not required, and the focus is on the general sense of a word.<\/p>"},{"question":"What are the limitations of Stemming?","answer":"

                Stemming may result in overstemming or understemming, leading to loss of context and incorrect interpretations. Some stemming algorithms may also be language-specific and less effective for languages other than English.<\/p>"},{"question":"What is the future outlook for Stemming in NLP?","answer":"

                The future of stemming in NLP looks promising with ongoing research on context-aware stemming, deep learning techniques, and multilingual support. These advancements will enhance accuracy and broaden language coverage.<\/p>"},{"question":"How can proxy servers be associated with Stemming in NLP?","answer":"

                Proxy servers, like OneProxy, can be beneficial for data collection, scalability, and anonymous web scraping in NLP tasks. They enable broader access to linguistic data, leading to more efficient and accurate stemming algorithms.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/wiki\/479155","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/wiki\/479155\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/media\/470607"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/media?parent=479155"}],"curies":[{"name":"\u3046\u30fc\u3093","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}