{"id":625,"date":"2018-10-02T17:47:56","date_gmt":"2018-10-02T08:47:56","guid":{"rendered":"https:\/\/mieruca-ai.com\/ai\/?p=625"},"modified":"2018-10-03T19:04:40","modified_gmt":"2018-10-03T10:04:40","slug":"richer-interpolative-smoothing","status":"publish","type":"post","link":"https:\/\/mieruca-ai.com\/ai\/richer-interpolative-smoothing\/","title":{"rendered":"\u3010\u8ad6\u6587\u89e3\u8aac\u3011Richer Interpolative Smoothing Based on Modified Kneser-Ney Language Modeling"},"content":{"rendered":"<p style=\"text-align: right;\">\n\u6587\u8cac\uff1a\u83ca\u5730\u771f\u4eba\n<\/p>\n<p>\n\u8457\u8005\uff1aEhsan Shareghi, Trevor Cohn, Gholamreza Haffari<br \/>\n\u4f1a\u8b70\u540d\uff1aEMNLP 2016<br \/>\n\u958b\u50ac\u5e74\uff1a2016\n<\/p>\n<p><!--more--><\/p>\n<h3>\u76ee\u6b21<\/h3>\n<p>\n<a href=\"#toc_1\">\u3069\u3093\u306a\u3082\u306e\uff1f<\/a><br \/>\n<a href=\"#toc_2\">\u5148\u884c\u7814\u7a76\u3068\u6bd4\u8f03\u3057\u3066<\/a><br \/>\n<a href=\"#toc_3\">\u6280\u8853\u3084\u624b\u6cd5\u306e\u8981\u70b9<\/a><br \/>\n<a href=\"#toc_4\">\u6709\u52b9\u6027\u306e\u691c\u8a3c<\/a><br \/>\n<a href=\"#toc_5\">\u8b70\u8ad6\u306e\u4f59\u5730\u306f\u3042\u308b\u304b<\/a>\n<\/p>\n<h2 id=\"toc_1\">\u3069\u3093\u306a\u3082\u306e\uff1f<\/h2>\n<p>\nDiscount\uff08\u5272\u5f15\u5024\uff09\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u8ffd\u52a0\u3059\u308b\u3053\u3068\u3067Modified Kneser-Ney\uff08MKN\uff09\u30b9\u30e0\u30fc\u30b8\u30f3\u30b0\u3092\u4e00\u822c\u5316\u3057\u305f\uff0e\u30e8\u30fc\u30ed\u30c3\u30d1\u570f\u306e\u69d8\u3005\u306a\u8a00\u8a9e\u3092\u7528\u3044\u305f\u5b9f\u9a13\u3067\uff0c\u4e00\u822c\u5316\u3057\u305fMKN\u30b9\u30e0\u30fc\u30b8\u30f3\u30b0\u306e\u5b9f\u7528\u6027\u3092\u793a\u3057\u305f\uff0e\u3055\u3089\u306b\uff0c\u8a13\u7df4\u30c7\u30fc\u30bf\u306e\u30b5\u30a4\u30ba\uff0c\u8a00\u8a9e\u30e2\u30c7\u30eb\u306e\u6b21\u5143\uff0c\u5272\u5f15\u5024\u30d1\u30e9\u30e1\u30fc\u30bf\u306e\u9593\u306b\u3042\u308b\u76f8\u4e92\u4f9d\u5b58\u6027\u3092\u8abf\u67fb\u3057\u305f\uff0e\n<\/p>\n<h2 id=\"toc_2\">\u5148\u884c\u7814\u7a76\u3068\u6bd4\u8f03\u3057\u3066<\/h2>\n<p>\nMKN\u8a00\u8a9e\u30e2\u30c7\u30eb\u306e\u65e2\u5b58\u7814\u7a76\u306f\u9ad8\u901f\u5316\u3084\u30b3\u30f3\u30d1\u30af\u30c8\u5316\u306b\u7126\u70b9\u3092\u5f53\u3066\u305f\u3082\u306e\u304c\u4e3b\u3060\u3063\u305f\uff0e\u4f8b\u5916\u3068\u3057\u3066Hierarchical Pitman-yor Process\u8a00\u8a9e\u30e2\u30c7\u30eb\u304c\u5b58\u5728\u3057\uff0cMKN\u30b9\u30e0\u30fc\u30b8\u30f3\u30b0\u304c\u305d\u306e\u8fd1\u4f3c\u63a8\u8ad6\u6cd5\u306b\u5bfe\u5fdc\u3059\u308b\uff0e\u3057\u304b\u3057\uff0c\u672c\u7a3f\u306e\u3088\u3046\u306bMKN\u30b9\u30e0\u30fc\u30b8\u30f3\u30b0\u3092\u76f4\u63a5\u7684\u306b\u8c4a\u304b\u306b\u3057\u3088\u3046\u3068\u8a66\u307f\u305f\u7814\u7a76\u306f\u306a\u3044\uff0e\n<\/p>\n<h2 id=\"toc_3\">\u6280\u8853\u3084\u624b\u6cd5\u306e\u8981\u70b9<\/h2>\n<p>\nm-gram\u306e\u89b3\u6e2c\u983b\u5ea6\u304c0\uff0c3\u672a\u6e80\uff0c3\u4ee5\u4e0a\u306b\u5fdc\u3058\u3066\u5834\u5408\u5206\u3051\u3055\u308c\u308b\u5272\u5f15\u5024\u30d1\u30e9\u30e1\u30fc\u30bf\u306e\u5b9a\u7fa9\u3092\uff0c\u983b\u5ea6\u304c0\uff0ck\u672a\u6e80\uff0ck\u4ee5\u4e0a\u3067\u5b9a\u7fa9\u3055\u308c\u308b\u3088\u3046\u306b\u4e00\u822c\u5316\u3057\u305f\uff0e\u3053\u306ek\u306f\u4efb\u610f\u306b\u8a2d\u5b9a\u3067\u304d\u308b\uff0e\n<\/p>\n<h2 id=\"toc_4\">\u6709\u52b9\u6027\u306e\u691c\u8a3c<\/h2>\n<p>\nEuroparl v7\u30b3\u30fc\u30d1\u30b9\u3092\u8a13\u7df4\u30c7\u30fc\u30bf\u3068\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u306b\u5206\u5272\u3057\uff0c\u30d1\u30fc\u30d7\u30ec\u30ad\u30b7\u30c6\u30a3\u3092\u6e2c\u5b9a\u3057\u305f\uff0e\u30b3\u30fc\u30d1\u30b9\u306b\u542b\u307e\u308c\u308b\u30d5\u30a3\u30f3\u30e9\u30f3\u30c9\u8a9e\uff0c\u30b9\u30da\u30a4\u30f3\u8a9e\uff0c\u30c9\u30a4\u30c4\u8a9e\uff0c\u82f1\u8a9e\u306e\u90e8\u5206\u3092\u4f7f\u7528\u3057\u305f\uff0e\u5404\u8a00\u8a9e\u306e\u90e8\u5206\u304b\u3089\u6700\u521d\u306e10,000\u6587\u3092\u53d6\u308a\u9664\u304d\uff0c\u305d\u308c\u3092\u30a4\u30f3\u30c9\u30e1\u30a4\u30f3\u306e\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u3068\u3057\u305f\uff0e\u7d9a\u304f10,000\u6587\u3092\u30b3\u30fc\u30d1\u30b9\u304b\u3089\u53d6\u308a\u9664\u304d\uff0c\u305d\u306e\u6b8b\u308a\u3092\u8a13\u7df4\u30c7\u30fc\u30bf\u3068\u3057\u305f\uff0e\u30c9\u30e1\u30a4\u30f3\u4e0d\u4e00\u81f4\u306b\u5bfe\u3059\u308b\u63d0\u6848\u624b\u6cd5\u306e\u52b9\u679c\u3092\u78ba\u8a8d\u3059\u308b\u305f\u3081\uff0c\u30a2\u30a6\u30c8\u30c9\u30e1\u30a4\u30f3\u306e\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u3092\u4e8c\u7a2e\u985e\u7528\u610f\u3057\u305f\uff0e(1) \u5e73\u6613\u306a\u4f7f\u3044\u65b9\u3092\u30c6\u30b9\u30c8\u3059\u308b\u305f\u3081\uff0c\u5404\u8a00\u8a9e\u306e\u30cb\u30e5\u30fc\u30b9\u8a18\u4e8b\u30b3\u30fc\u30d1\u30b9\u3092\u4f7f\u7528\u3057\u305f\uff0e(2) \u6975\u7aef\u306a\u4f7f\u3044\u65b9\u3092\u30c6\u30b9\u30c8\u3059\u308b\u305f\u3081\uff0c\u30d5\u30a3\u30f3\u30e9\u30f3\u30c9\u8a9e\u3068\u30b9\u30da\u30a4\u30f3\u8a9e\u306e\u30c4\u30a4\u30fc\u30c8\uff0c\u30c9\u30a4\u30c4\u8a9e\u3068\u82f1\u8a9e\u3067\u306f\u533b\u7642\u7ffb\u8a33\u30bf\u30b9\u30af\u306e\u30c7\u30fc\u30bf\u3092\u4f7f\u7528\u3057\u305f\uff0e<\/p>\n<h3>\u30d1\u30fc\u30d7\u30ec\u30ad\u30b7\u30c6\u30a3\uff1a<\/h3>\n<p>\u30a2\u30a6\u30c8\u30c9\u30e1\u30a4\u30f3\u306e\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u3067\u306f\uff0c\u5272\u5f15\u5024\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u5897\u3084\u3059\u307b\u3069\u30d1\u30fc\u30d7\u30ec\u30ad\u30b7\u30c6\u30a3\u304c\u6e1b\u5c11\u3059\u308b\u50be\u5411\u304c\u898b\u3089\u308c\u305f\uff0e\u305f\u3060\u3057\uff0c\u30a4\u30f3\u30c9\u30e1\u30a4\u30f3\u306e\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u3067\u306f\u3053\u306e\u50be\u5411\u304c\u898b\u3089\u308c\u306a\u304b\u3063\u305f\uff0e<\/p>\n<h3>\u8a13\u7df4\u30c7\u30fc\u30bf\u306e\u30b5\u30a4\u30ba\uff0c\u8a00\u8a9e\u30e2\u30c7\u30eb\u306e\u6b21\u5143 m\uff0c\u30d1\u30e9\u30e1\u30fc\u30bf\u306e\u76f8\u4e92\u4f9d\u5b58\u6027\uff1a<\/h3>\n<p>\u8a13\u7df4\u30c7\u30fc\u30bf\u304c\u5c0f\u3055\u304f\uff0c\u30c6\u30b9\u30c8\u5b9f\u884c\u6642\u306b\u672a\u77e5\u8a9e\uff08OOV\uff09\u304c\u591a\u304f\u51fa\u73fe\u3059\u308b\u307b\u3069\uff0c\u591a\u6570\u306e\u5272\u5f15\u5024\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u5c0e\u5165\u3059\u308b\u3053\u3068\u3067\u30d1\u30fc\u30d7\u30ec\u30ad\u30b7\u30c6\u30a3\u304c\u4f4e\u4e0b\u3059\u308b\u3053\u3068\u3092\u793a\u3057\u305f\uff0e\u8a13\u7df4\u30c7\u30fc\u30bf\u304c\u5341\u5206\u5927\u304d\u3044\u5834\u5408\u306f\uff0c\u30d1\u30fc\u30d7\u30ec\u30ad\u30b7\u30c6\u30a3\u306e\u4f4e\u4e0b\u304c\u308f\u305a\u304b\u3067\u3042\u3063\u305f\uff0e\n<\/p>\n<h2 id=\"toc_5\">\u8b70\u8ad6\u306e\u4f59\u5730\u306f\u3042\u308b\u304b<\/h2>\n<p>\n\u30a2\u30a6\u30c8\u30c9\u30e1\u30a4\u30f3\u306e\u8a9e\u5f59\u3092\u30a8\u30ec\u30ac\u30f3\u30c8\u306b\u6271\u3046\u3053\u3068\u304c\u3067\u304d\u308b\u305f\u3081\uff0c\u30c9\u30e1\u30a4\u30f3\u9069\u7528\u306a\u3069\u306b\u5fdc\u7528\u3067\u304d\u308b\u3068\u8003\u3048\u3066\u3044\u308b\uff0e\u4eca\u5f8c\u306e\u8ab2\u984c\u3068\u3057\u3066\uff0c\u672c\u7a3f\u306eMKN\u8a00\u8a9e\u30e2\u30c7\u30eb\u3092Moses\uff08\u30e2\u30fc\u30bc\uff09\u3068\u3044\u3046\u6a5f\u68b0\u7ffb\u8a33\u30e2\u30c7\u30eb\u306b\u7d71\u5408\u3057\uff0c\u30a2\u30a6\u30c8\u30c9\u30e1\u30a4\u30f3\u306b\u3088\u308b\u7ffb\u8a33\u304c\u7ffb\u8a33\u54c1\u8cea\u306b\u4e0e\u3048\u308b\u5f71\u97ff\u3092\u6e2c\u308b\u3053\u3068\u304c\u6319\u3052\u3089\u308c\u308b\uff0e<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u6587\u8cac\uff1a\u83ca\u5730\u771f\u4eba \u8457\u8005\uff1aEhsan Shareghi, Trevor Cohn, Gholamreza Haffari \u4f1a\u8b70\u540d\uff1aEMNLP 2016 \u958b\u50ac\u5e74\uff1a2016<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[7,9],"tags":[],"_links":{"self":[{"href":"https:\/\/mieruca-ai.com\/ai\/wp-json\/wp\/v2\/posts\/625"}],"collection":[{"href":"https:\/\/mieruca-ai.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mieruca-ai.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mieruca-ai.com\/ai\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/mieruca-ai.com\/ai\/wp-json\/wp\/v2\/comments?post=625"}],"version-history":[{"count":2,"href":"https:\/\/mieruca-ai.com\/ai\/wp-json\/wp\/v2\/posts\/625\/revisions"}],"predecessor-version":[{"id":631,"href":"https:\/\/mieruca-ai.com\/ai\/wp-json\/wp\/v2\/posts\/625\/revisions\/631"}],"wp:attachment":[{"href":"https:\/\/mieruca-ai.com\/ai\/wp-json\/wp\/v2\/media?parent=625"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mieruca-ai.com\/ai\/wp-json\/wp\/v2\/categories?post=625"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mieruca-ai.com\/ai\/wp-json\/wp\/v2\/tags?post=625"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}