{"id":26614,"date":"2025-02-24T09:43:44","date_gmt":"2025-02-24T01:43:44","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=26614"},"modified":"2025-02-24T09:44:15","modified_gmt":"2025-02-24T01:44:15","slug":"falufanyilingyu","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/ja\/falufanyilingyu\/","title":{"rendered":"\u6cd5\u5f8b\u7ffb\u8bd1\u9886\u57df\uff1aChatGPT \u4e0e\u795e\u7ecf\u7f51\u7edc\u7ffb\u8bd1 (NMT) \u7cfb\u7edf\u6027\u80fd\u6df1\u5ea6\u8bc4\u6d4b"},"content":{"rendered":"<p>\u5728\u65e5\u65b0\u6708\u5f02\u7684\u7ffb\u8bd1\u6280\u672f\u6d6a\u6f6e\u4e2d\uff0c<strong>ChatGPT<\/strong>\u00a0(Chat Generative Pre-trained <a href=\"https:\/\/www.kdjingpai.com\/transformer\/\">Transformer<\/a>) \u7684\u6a2a\u7a7a\u51fa\u4e16\u65e0\u7591\u5438\u5f15\u4e86\u5168\u7403\u76ee\u5149\u3002\u4f5c\u4e3a\u4e00\u79cd\u5148\u8fdb\u7684\u00a0<strong>\u5927\u8bed\u8a00\u6a21\u578b<\/strong>\u00a0(Large Language Models, LLM)\uff0cChatGPT \u5c55\u73b0\u51fa\u4ee4\u4eba\u77a9\u76ee\u7684\u81ea\u7136\u8bed\u8a00\u5904\u7406\u80fd\u529b\uff0c\u751a\u81f3\u5728\u67d0\u4e9b\u7ffb\u8bd1\u4efb\u52a1\u4e2d\uff0c\u5176\u8868\u73b0\u5df2\u80fd\u4e0e\u4e13\u4e1a\u7ffb\u8bd1\u5de5\u5177\u76f8\u5ab2\u7f8e\u3002\u7136\u800c\uff0c\u6cd5\u5f8b\u7ffb\u8bd1\u9886\u57df\u4ee5\u5176\u9ad8\u5ea6\u7684\u4e25\u8c28\u6027\u548c\u4e13\u4e1a\u6027\u8457\u79f0\uff0c\u5728\u6b64\u7279\u6b8a\u9886\u57df\uff0cChatGPT \u662f\u5426\u80fd\u591f\u771f\u6b63\u64bc\u52a8\u5f53\u524d\u4e3b\u6d41\u00a0<strong>\u795e\u7ecf\u673a\u5668\u7ffb\u8bd1<\/strong>\u00a0(Neural Machine Translation, NMT) \u7cfb\u7edf\u7684\u5730\u4f4d\uff1f<\/p>\n<p>\u672c\u6587\u5c06\u6df1\u5165\u63a2\u8ba8\u4e00\u9879\u6700\u65b0\u7814\u7a76\uff0c\u8be5\u7814\u7a76\u901a\u8fc7\u5bf9\u6bd4 ChatGPT-4 \u4e0e\u5f53\u524d\u56db\u5927\u4e3b\u6d41 NMT \u7cfb\u7edf\u5728\u00a0<strong>\u82f1\u6c49\u4e0e\u6c49\u82f1\u6cd5\u5f8b\u6587\u672c\u7ffb\u8bd1<\/strong>\u00a0\u4e2d\u7684\u8868\u73b0\uff0c\u65e8\u5728\u5168\u9762\u5256\u6790\u5b83\u4eec\u5404\u81ea\u7684\u4f18\u52bf\u4e0e\u4e0d\u8db3\u3002\u7814\u7a76\u4e0d\u4ec5\u63ed\u793a\u4e86\u4e24\u8005\u5728\u4e0d\u540c\u7ffb\u8bd1\u65b9\u5411\u4e0a\u7684\u6027\u80fd\u5dee\u5f02\uff0c\u66f4\u7ec6\u81f4\u5730\u5206\u6790\u4e86\u5b83\u4eec\u5728\u00a0<strong>\u672f\u8bed\u7ffb\u8bd1\u3001\u8bed\u6cd5\u7ed3\u6784\u4ee5\u53ca\u98ce\u683c\u89c4\u8303<\/strong>\u00a0\u7b49\u65b9\u9762\u6240\u5b58\u5728\u7684\u5178\u578b\u9519\u8bef\u3002<\/p>\n<p>&nbsp;<\/p>\n<h2>\u7814\u7a76\u80cc\u666f\uff1a\u673a\u5668\u7ffb\u8bd1\u6280\u672f\u53d1\u5c55\u4e0e\u6cd5\u5f8b\u7ffb\u8bd1\u7684\u6311\u6218<\/h2>\n<p>\u8fd1\u5e74\u6765\uff0c\u4eba\u5de5\u667a\u80fd\u7ffb\u8bd1\u6280\u672f\u53d6\u5f97\u4e86\u98de\u901f\u53d1\u5c55\uff0c\u5176\u4e2d\u795e\u7ecf\u673a\u5668\u7ffb\u8bd1\u6280\u672f\u5c24\u4e3a\u7a81\u51fa\u3002\u4f17\u591a\u5b66\u8005\u81f4\u529b\u4e8e NMT \u7684\u7814\u7a76\u4e0e\u4f18\u5316\uff0c\u529b\u6c42\u901a\u8fc7\u6280\u672f\u521b\u65b0\u8fdb\u4e00\u6b65\u63d0\u5347\u00a0<strong>\u673a\u5668\u7ffb\u8bd1<\/strong>\u00a0(Machine Translation, MT) \u7684\u8d28\u91cf\u3002Feng \u548c Zhang (2022) \u7684\u7814\u7a76\u4fbf\u6307\u51fa\uff0cNMT \u6280\u672f\u5df2\u8fc8\u5165\u5927\u89c4\u6a21\u5b9e\u9645\u5e94\u7528\u9636\u6bb5\uff0c\u5c24\u5176\u5728\u82f1\u6c49\u7ffb\u8bd1\u9886\u57df\uff0c\u9488\u5bf9\u666e\u901a\u6587\u672c\u7684\u7ffb\u8bd1\u51c6\u786e\u7387\u5df2\u7a81\u7834 90%\uff0c\u5b8c\u5168\u53ef\u4ee5\u6ee1\u8db3\u8bf8\u5982\u65b0\u95fb\u62a5\u9053\u3001\u4ea7\u54c1\u8bf4\u660e\u3001\u4ea4\u901a\u4fe1\u606f\u7b49\u65e5\u5e38\u573a\u666f\u7684\u7ffb\u8bd1\u9700\u6c42\u3002Li (2021) \u7684\u7814\u7a76\u4e5f\u89c2\u5bdf\u5230\uff0c\u57fa\u4e8e\u795e\u7ecf\u7f51\u7edc\u6280\u672f\u7684\u4e94\u79cd\u00a0<strong>\u5728\u7ebf\u673a\u5668\u7ffb\u8bd1<\/strong>\u00a0(Online Machine Translation) \u7cfb\u7edf\uff0c\u5176\u7ffb\u8bd1\u8d28\u91cf\u5df2\u8fbe\u5230\u53ef\u63a5\u53d7\u6c34\u5e73\uff0c\u4f46\u5728\u8ffd\u6c42\u5353\u8d8a\u65b9\u9762\u4ecd\u6709\u63d0\u5347\u7a7a\u95f4\u3002<\/p>\n<p>\u4e0e\u6b64\u540c\u65f6\uff0c<strong>\u5927\u8bed\u8a00\u6a21\u578b<\/strong>\u00a0\u5728\u7ffb\u8bd1\u9886\u57df\u7684\u6f5c\u529b\u4e5f\u9010\u6e10\u663e\u73b0\uff0c\u90e8\u5206\u7814\u7a76\u8868\u660e\uff0c\u5b83\u4eec\u5728\u67d0\u4e9b\u7ffb\u8bd1\u4efb\u52a1\u4e2d\u7684\u8868\u73b0\uff0c\u5df2\u80fd\u4e0e\u5e02\u573a\u4e0a\u4e00\u4e9b\u4e13\u4e1a\u7684\u7ffb\u8bd1\u5e73\u53f0\u5e76\u9a7e\u9f50\u9a71\uff0c\u751a\u81f3\u66f4\u80dc\u4e00\u7b79\u3002\u4f8b\u5982\uff0cYang (2023) \u7684\u7814\u7a76\u53d1\u73b0\uff0c\u5728\u8d8a\u5357\u8bed\u6cd5\u5f8b\u6587\u672c\u7ffb\u8bd1\u65b9\u9762\uff0cChatGPT \u4e0e\u5176\u4ed6\u673a\u5668\u7ffb\u8bd1\u7cfb\u7edf\u4ee5\u53ca\u4eba\u5de5\u7ffb\u8bd1\u76f8\u6bd4\uff0c\u5e76\u6ca1\u6709\u5c55\u73b0\u51fa\u660e\u663e\u7684\u4f18\u52bf\u3002\u7136\u800c\uff0c\u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0cChatGPT \u5728\u81ea\u7136\u8bed\u8a00\u5904\u7406\u3001\u95ee\u9898\u7406\u89e3\u548c\u7528\u6237\u4ea4\u4e92\u7b49\u9886\u57df\u5df2\u53d6\u5f97\u4e86\u663e\u8457\u8fdb\u5c55\uff0c\u751a\u81f3\u5728\u53e5\u6cd5\u590d\u6742\u5ea6\u65b9\u9762\uff0cChatGPT \u7684\u7ffb\u8bd1\u7ed3\u679c\u5df2\u4e0e\u4eba\u5de5\u7ffb\u8bd1\u548c\u00a0<strong>DeepL \u7ffb\u8bd1<\/strong>\u00a0\u76f8\u8fd1\u3002<\/p>\n<p>\u7136\u800c\uff0c\u4e0a\u8ff0\u7814\u7a76\u5927\u591a\u91c7\u7528\u901a\u7528\u8bed\u6599\u5e93\uff0c\u4e14\u7ffb\u8bd1\u65b9\u5411\u6db5\u76d6\u591a\u79cd\u8bed\u8a00\uff0c\u9c9c\u6709\u7814\u7a76\u805a\u7126\u4e8e <a href=\"https:\/\/www.kdjingpai.com\/chatgpt-6\/\">ChatGPT<\/a> \u5728\u82f1\u6c49\u6cd5\u5f8b\u7ffb\u8bd1\u9886\u57df\u7684\u5177\u4f53\u8868\u73b0\uff0c\u66f4\u7f3a\u4e4f\u5bf9 ChatGPT \u4e0e NMT \u7cfb\u7edf\u5728\u6cd5\u5f8b\u7ffb\u8bd1\u8d28\u91cf\u65b9\u9762\u5dee\u5f02\u7684\u6df1\u5165\u6bd4\u8f83\u3002<\/p>\n<p>\u5728\u5168\u7403\u5316\u65e5\u76ca\u6df1\u5165\u7684\u80cc\u666f\u4e0b\uff0c\u82f1\u6c49\u6cd5\u5f8b\u7ffb\u8bd1\u7684\u9700\u6c42\u6301\u7eed\u589e\u957f\u3002ChatGPT \u548c NMT \u4f5c\u4e3a\u76ee\u524d\u6700\u5148\u8fdb\u7684\u7ffb\u8bd1\u6280\u672f\uff0c\u5bf9\u5176\u4f18\u52a3\u52bf\u8fdb\u884c\u5bf9\u6bd4\u5206\u6790\uff0c\u4e0d\u4ec5\u80fd\u4e3a\u7ffb\u8bd1\u7cfb\u7edf\u7684\u6539\u8fdb\u63d0\u4f9b\u6709\u76ca\u7684\u53c2\u8003\uff0c\u66f4\u80fd\u5e2e\u52a9\u6cd5\u5f8b\u7ffb\u8bd1\u4ece\u4e1a\u8005\u66f4\u597d\u5730\u4e86\u89e3\u8fd9\u4e9b\u6280\u672f\u7684\u80fd\u529b\u8fb9\u754c\uff0c\u4ece\u800c\u66f4\u660e\u667a\u5730\u9009\u62e9\u548c\u4f7f\u7528\u7ffb\u8bd1\u5de5\u5177\u3002<\/p>\n<p>\u672c\u7814\u7a76\u65e8\u5728\u901a\u8fc7\u5bf9\u6bd4 ChatGPT-4 \u4e0e\u56db\u79cd\u4e3b\u6d41 NMT \u7cfb\u7edf (\u6709\u9053\u7ffb\u8bd1\u3001\u767e\u5ea6\u7ffb\u8bd1\u3001\u8c37\u6b4c\u7ffb\u8bd1\u548c DeepL \u7ffb\u8bd1) \u5728\u82f1\u6c49\u548c\u6c49\u82f1\u6cd5\u5f8b\u6587\u672c\u7ffb\u8bd1\u4e2d\u7684\u6027\u80fd\uff0c\u7cfb\u7edf\u8bc4\u4f30\u5b83\u4eec\u5728\u6cd5\u5f8b\u7ffb\u8bd1\u9886\u57df\u7684\u6709\u6548\u6027\u3002\u7814\u7a76\u7684\u6838\u5fc3\u95ee\u9898\u5305\u62ec\uff1a<\/p>\n<ul>\n<li>\u5728\u82f1\u6c49\u548c\u6c49\u82f1\u6cd5\u5f8b\u6587\u672c\u7ffb\u8bd1\u4e2d\uff0cChatGPT \u4e0e NMT \u7cfb\u7edf\uff0c\u54ea\u79cd\u8868\u73b0\u66f4\u4f18\u5f02\uff1f<\/li>\n<li>\u5728\u76f8\u540c\u7684\u8bc4\u4f30\u6807\u51c6\u4e0b\uff0cChatGPT \u548c NMT \u7cfb\u7edf\u5728\u82f1\u6c49\u7ffb\u8bd1\u548c\u6c49\u82f1\u7ffb\u8bd1\u4e2d\uff0c\u54ea\u79cd\u7ffb\u8bd1\u65b9\u5411\u7684\u8868\u73b0\u66f4\u4f73\uff1f<\/li>\n<li>ChatGPT \u548c NMT \u7cfb\u7edf\u5728\u6cd5\u5f8b\u6587\u672c\u7ffb\u8bd1\u4e2d\uff0c\u5404\u81ea\u4ea7\u751f\u7684\u5178\u578b\u9519\u8bef\u7c7b\u578b\u6709\u4f55\u4e0d\u540c\uff1f<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u7814\u7a76\u8bbe\u8ba1\uff1a\u4e25\u8c28\u7684\u8bc4\u6d4b\u4f53\u7cfb<\/h2>\n<p>\u4e3a\u4e86\u786e\u4fdd\u7814\u7a76\u7ed3\u679c\u7684\u6709\u6548\u6027\u4e0e\u53ef\u9760\u6027\uff0c\u672c\u7814\u7a76\u5728\u00a0<strong>\u6e90\u6587\u672c<\/strong>\u00a0(source texts, ST) \u7684\u9009\u62e9\u4e0a\uff0c\u4e25\u683c\u9075\u5faa\u4ee5\u4e0b\u539f\u5219\uff1a<\/p>\n<ul>\n<li><strong>\u5168\u9762\u6027 (comprehensiveness)<\/strong>\uff1a \u9009\u53d6\u7684\u6587\u672c\u6db5\u76d6\u6c11\u6cd5\u3001\u5211\u6cd5\u3001\u5546\u6cd5\u3001\u884c\u653f\u6cd5\u7b49\u591a\u4e2a\u6cd5\u5f8b\u5b50\u9886\u57df\uff0c\u529b\u6c42\u7814\u7a76\u7ed3\u679c\u5177\u6709\u5e7f\u6cdb\u7684\u9002\u7528\u6027\u548c\u4ee3\u8868\u6027\u3002<\/li>\n<li><strong>\u65f6\u6548\u6027 (timeliness)<\/strong>\uff1a \u4ec5\u9009\u62e9\u5f53\u524d\u4ecd\u5728\u751f\u6548\u7684\u6cd5\u5f8b\u6587\u672c\uff0c\u4ee5\u771f\u5b9e\u53cd\u6620\u5f53\u524d\u6cd5\u5f8b\u7ffb\u8bd1\u7684\u5b9e\u9645\u9700\u6c42\u4e0e\u6311\u6218\u3002<\/li>\n<li><strong>\u591a\u6837\u6027 (diversity)<\/strong>\uff1a \u9009\u62e9\u7684\u6cd5\u5f8b\u6587\u672c\u5728\u7ed3\u6784\u3001\u96be\u5ea6\u3001\u8bed\u5883\u7b49\u65b9\u9762\u5747\u6709\u6240\u5dee\u5f02\uff0c\u4ee5\u5168\u9762\u8bc4\u4f30 NMT \u548c ChatGPT \u5bf9\u4e0d\u540c\u7c7b\u578b\u6cd5\u5f8b\u6587\u672c\u7684\u7ffb\u8bd1\u8d28\u91cf\u3002<\/li>\n<li><strong>\u771f\u5b9e\u6027 (authenticity)<\/strong>\uff1a \u9009\u53d6\u7684\u6cd5\u5f8b\u6cd5\u89c4\u5747\u6765\u81ea\u516c\u5f00\u6e20\u9053\uff0c\u4fbf\u4e8e\u540c\u884c\u8fdb\u884c\u8bc4\u5ba1\uff0c\u5e76\u9a8c\u8bc1\u7814\u7a76\u7ed3\u679c\u7684\u5ba2\u89c2\u6027\u3002<\/li>\n<li><strong>\u53c2\u8003\u6027 (referentiality)<\/strong>\uff1a \u9009\u53d6\u7684\u6587\u672c\u5747\u6709\u5b98\u65b9\u6216\u6743\u5a01\u7684\u7ffb\u8bd1\u7248\u672c\u4f5c\u4e3a\u53c2\u8003\uff0c\u4ee5\u4fbf\u5bf9 NMT \u548c ChatGPT \u7684\u7ffb\u8bd1\u8d28\u91cf\u8fdb\u884c\u81ea\u52a8\u8bc4\u4f30\u3002<\/li>\n<\/ul>\n<p>\u57fa\u4e8e\u4e0a\u8ff0\u539f\u5219\uff0c\u7814\u7a76\u4eba\u5458\u4ece 14 \u90e8\u4e0d\u540c\u7684\u4e2d\u56fd\u6cd5\u5f8b\u4e2d\uff0c\u7cbe\u9009\u51fa 15 \u7bc7\u4e2d\u6587\u6587\u672c\u4f5c\u4e3a\u6c49\u82f1\u7ffb\u8bd1\u7684\u6e90\u6587\u672c\uff0c\u6bcf\u7bc7\u6587\u672c\u957f\u5ea6\u63a7\u5236\u5728 500 \u81f3 550 \u4e2a\u5b57\u7b26\u3002\u4e3a\u786e\u4fdd\u7ffb\u8bd1\u8bc4\u4f30\u7684\u51c6\u786e\u6027\u548c\u6743\u5a01\u6027\uff0c\u7814\u7a76\u91c7\u7528\u4e86\u4e2d\u56fd\u6cd5\u5f8b\u4fe1\u606f\u6570\u636e\u5e93\u63d0\u4f9b\u7684\u5b98\u65b9\u82f1\u6587\u8bd1\u672c\u4f5c\u4e3a\u00a0<strong>\u76ee\u6807\u6587\u672c<\/strong>\u00a0(target texts, TT) \u7684\u53c2\u8003\u8bd1\u6587\u3002 \u540c\u6837\u5730\uff0c\u4e3a\u4e86\u4fbf\u4e8e\u4e0e\u6c49\u82f1\u7ffb\u8bd1\u8fdb\u884c\u5bf9\u6bd4\uff0c\u7814\u7a76\u4eba\u5458\u4ece\u9999\u6e2f\u6cd5\u5f8b\u7684\u7535\u5b50\u7248\u4e2d\u9009\u53d6\u4e86 15 \u7bc7\u76f8\u5e94\u7684\u82f1\u6587\u6cd5\u5f8b\u6587\u672c\uff0c\u957f\u5ea6\u540c\u6837\u63a7\u5236\u5728 500 \u81f3 550 \u4e2a\u5355\u8bcd\uff0c\u4f5c\u4e3a\u82f1\u6c49\u7ffb\u8bd1\u7684\u6e90\u6587\u672c\u3002\u8fd9\u4e9b\u82f1\u6587\u6587\u672c\u7684\u5b98\u65b9\u4e2d\u6587\u7248\u672c\uff08\u540c\u6837\u6765\u81ea\u9999\u6e2f\u6cd5\u5f8b\u7684\u7535\u5b50\u7248\uff09\u5219\u88ab\u7528\u4f5c\u76ee\u6807\u6587\u672c\u7684\u53c2\u8003\u8bd1\u6587\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/02\/26f6eec3aa0d006.jpeg\" alt=\"\" \/><\/p>\n<p>\u5728\u7814\u7a76\u65b9\u6cd5\u4e0a\uff0c\u672c\u7814\u7a76\u9009\u62e9\u4e86 ChatGPT-4 \u4ee5\u53ca\u5f53\u524d\u4e3b\u6d41\u7684 NMT \u7cfb\u7edf\u4f5c\u4e3a\u7814\u7a76\u5bf9\u8c61\uff0c\u5e76\u91c7\u7528\u00a0<strong>\u53cc\u8bed\u8bc4\u4f30\u66ff\u8865<\/strong>\u00a0(Bilingual Evaluation Understudy,\u00a0<strong>BLEU<\/strong>) \u4f5c\u4e3a\u8bc4\u4f30\u673a\u5668\u7ffb\u8bd1\u8d28\u91cf\u7684\u6838\u5fc3\u6307\u6807\u3002BLEU \u662f\u4e00\u79cd\u56fd\u9645\u901a\u7528\u7684\u673a\u5668\u7ffb\u8bd1\u8bc4\u4f30\u6307\u6807\uff0c\u5176\u5206\u6570\u8d8a\u9ad8\uff0c\u4ee3\u8868\u7ffb\u8bd1\u8d28\u91cf\u8d8a\u597d\u3002\u7814\u7a76\u56e2\u961f\u5229\u7528\u8bd5\u8bd1\u5b9d\u5e73\u53f0\u63d0\u4f9b\u7684\u7ffb\u8bd1\u8bc4\u4f30\u5de5\u5177\u6765\u8ba1\u7b97 BLEU \u5206\u6570\uff0c\u4ece\u800c\u5bf9\u5404\u7cfb\u7edf\u7684\u7ffb\u8bd1\u8d28\u91cf\u8fdb\u884c\u91cf\u5316\u8bc4\u4f30\u3002<\/p>\n<p>\u7814\u7a76\u7684\u5177\u4f53\u6b65\u9aa4\u5982\u4e0b\uff1a\u9996\u5148\uff0c\u5c06 30 \u7bc7\u6e90\u6587\u672c\u5206\u522b\u5bfc\u5165\u6709\u9053\u7ffb\u8bd1\u3001\u767e\u5ea6\u7ffb\u8bd1\u3001\u8c37\u6b4c\u7ffb\u8bd1\u548c DeepL \u7ffb\u8bd1\u7b49 NMT \u7cfb\u7edf\u8fdb\u884c\u7ffb\u8bd1\uff0c\u540c\u65f6\u4f7f\u7528 ChatGPT-4 \u8fdb\u884c\u7ffb\u8bd1\u3002\u968f\u540e\uff0c\u5c06 NMT \u7cfb\u7edf\u548c ChatGPT-4 \u751f\u6210\u7684\u76ee\u6807\u6587\u672c\u590d\u5236\u5230 Word \u6587\u6863\u4e2d\u3002\u63a5\u7740\uff0c\u4f7f\u7528 \u201c\u8bd5\u8bd1\u5b9d &#8211; \u7ffb\u8bd1\u8bc4\u4f30\u5de5\u5177\u201d \u8ba1\u7b97\u76ee\u6807\u6587\u672c\u7684 BLEU \u5206\u6570\u3002\u6700\u540e\uff0c\u8fd0\u7528 SPSS 27 \u7edf\u8ba1\u8f6f\u4ef6\u5bf9\u76ee\u6807\u6587\u672c\u7684 BLEU \u503c\u8fdb\u884c\u7edf\u8ba1\u5206\u6790\u3002<\/p>\n<p>&nbsp;<\/p>\n<h2>\u7ed3\u679c\uff1a\u91cf\u5316\u8bc4\u4f30\u4e0e\u7edf\u8ba1\u5206\u6790<\/h2>\n<h3>\u6c49\u82f1\u7ffb\u8bd1\u8d28\u91cf\u5bf9\u6bd4<\/h3>\n<ul>\n<li>\u5728\u6c49\u82f1\u7ffb\u8bd1\u4e2d\uff0c<strong>ChatGPT \u7684\u5e73\u5747 BLEU \u5206\u6570\u6700\u4f4e\uff0c\u6807\u51c6\u5dee\u6700\u9ad8<\/strong>\uff0c\u8fd9\u8868\u660e\u5176\u6c49\u82f1\u6cd5\u5f8b\u7ffb\u8bd1\u8d28\u91cf\u76f8\u5bf9 NMT \u7cfb\u7edf\u800c\u8a00\uff0c\u4e0d\u4ec5\u504f\u4f4e\uff0c\u4e14\u7a33\u5b9a\u6027\u4e5f\u7a0d\u900a\u4e00\u7b79\u3002<\/li>\n<li><strong>\u6709\u9053\u7ffb\u8bd1<\/strong>\u00a0\u53d6\u5f97\u4e86\u6700\u9ad8\u7684\u5e73\u5747 BLEU \u5206\u6570\uff0c<strong>\u8c37\u6b4c\u7ffb\u8bd1<\/strong>\u00a0\u7d27\u968f\u5176\u540e\uff0c<strong>DeepL \u7ffb\u8bd1<\/strong>\u00a0\u548c\u00a0<strong>\u767e\u5ea6\u7ffb\u8bd1<\/strong>\u00a0\u7684\u5f97\u5206\u5219\u8f83\u4e3a\u63a5\u8fd1\u3002<\/li>\n<li>\u65b9\u5dee\u5206\u6790\u7ed3\u679c\u663e\u793a\uff0c\u5404\u7cfb\u7edf\u95f4\u7684 BLEU \u5206\u6570\u00a0<strong>\u5dee\u5f02\u4e0d\u663e\u8457<\/strong>\u00a0(p = 0.119)\u3002<\/li>\n<li>\u7136\u800c\uff0c\u591a\u91cd\u6bd4\u8f83\u6d4b\u8bd5\u8fdb\u4e00\u6b65\u63ed\u793a\uff0c<strong>ChatGPT \u4e0e\u6709\u9053\u7ffb\u8bd1\u4e4b\u95f4\u5b58\u5728\u663e\u8457\u6027\u5dee\u5f02<\/strong>\uff0cNMT \u7cfb\u7edf\u5185\u90e8\u7684\u767e\u5ea6\u7ffb\u8bd1\u548c\u6709\u9053\u7ffb\u8bd1\u4e4b\u95f4\u4e5f\u5b58\u5728\u663e\u8457\u6027\u5dee\u5f02\u3002<\/li>\n<li>\u603b\u4f53\u800c\u8a00\uff0cChatGPT \u5728\u6c49\u82f1\u6cd5\u5f8b\u7ffb\u8bd1\u65b9\u9762\u7684\u8d28\u91cf\u7565\u4f4e\u4e8e NMT \u7cfb\u7edf\uff0c\u4f46\u4e24\u8005\u4e4b\u95f4\u7684\u5dee\u8ddd\u5e76\u672a\u8fbe\u5230\u663e\u8457\u6c34\u5e73 (p = 0.258)\u3002<\/li>\n<\/ul>\n<h3>\u82f1\u6c49\u7ffb\u8bd1\u8d28\u91cf\u5bf9\u6bd4<\/h3>\n<ul>\n<li>\u5728\u82f1\u6c49\u7ffb\u8bd1\u65b9\u9762\uff0c<strong>ChatGPT \u7684\u5e73\u5747 BLEU \u5206\u6570\u4f9d\u7136\u6700\u4f4e\uff0c\u800c\u6709\u9053\u7ffb\u8bd1\u5219\u518d\u6b21\u65a9\u83b7\u6700\u9ad8\u5e73\u5747\u5206<\/strong>\u3002DeepL \u7ffb\u8bd1\u7d27\u968f\u6709\u9053\u7ffb\u8bd1\u4e4b\u540e\uff0c\u767e\u5ea6\u7ffb\u8bd1\u548c\u8c37\u6b4c\u7ffb\u8bd1\u7684\u5f97\u5206\u76f8\u5bf9\u9760\u540e\u3002<\/li>\n<li>\u7ecf\u68c0\u9a8c\uff0c\u5404\u7cfb\u7edf\u5f97\u5206\u6570\u636e\u7684\u5cf0\u5ea6\u548c\u504f\u5ea6\u7edd\u5bf9\u503c\u5747\u5927\u4e8e 1.96\uff0c\u8868\u660e\u6570\u636e\u00a0<strong>\u4e0d\u7b26\u5408\u6b63\u6001\u5206\u5e03<\/strong>\u3002<\/li>\n<li>\u56e0\u6b64\uff0c\u7814\u7a76\u91c7\u7528 Kruskal-Wallis \u975e\u53c2\u6570\u68c0\u9a8c\uff0c\u7ed3\u679c\u663e\u793a\uff0c\u4e94\u4e2a\u7cfb\u7edf\u4e4b\u95f4\u7684 BLEU \u5206\u6570\u5b58\u5728\u00a0<strong>\u663e\u8457\u5dee\u5f02<\/strong>\u00a0(p &lt; 0.001)\u3002<\/li>\n<li>\u4e24\u4e24\u6bd4\u8f83\u5206\u6790\u8fdb\u4e00\u6b65\u53d1\u73b0\uff0cChatGPT \u4e0e\u5176\u4f59\u56db\u4e2a NMT \u7cfb\u7edf\u4e4b\u95f4\u7684\u5dee\u5f02\u5747\u8fbe\u5230\u663e\u8457\u6c34\u5e73\uff0c\u800c\u56db\u4e2a NMT \u7cfb\u7edf\u5f7c\u6b64\u4e4b\u95f4\u7684\u5dee\u5f02\u5219\u00a0<strong>\u4e0d\u663e\u8457<\/strong>\u3002<\/li>\n<li>\u7efc\u5408\u6765\u770b\uff0c<strong>NMT \u7cfb\u7edf\u5728\u82f1\u6c49\u6cd5\u5f8b\u6587\u672c\u7ffb\u8bd1\u65b9\u9762\u7684\u8d28\u91cf\u663e\u8457\u9ad8\u4e8e ChatGPT<\/strong>\u3002<\/li>\n<\/ul>\n<h3>\u82f1\u6c49\u4e0e\u6c49\u82f1\u7ffb\u8bd1\u8d28\u91cf\u603b\u4f53\u5bf9\u6bd4<\/h3>\n<ul>\n<li>\u72ec\u7acb\u6837\u672c T \u68c0\u9a8c\u7ed3\u679c\u8868\u660e\uff0c\u65e0\u8bba\u662f ChatGPT \u8fd8\u662f NMT \u7cfb\u7edf\uff0c\u5728\u82f1\u6c49\u548c\u6c49\u82f1\u4e24\u4e2a\u7ffb\u8bd1\u65b9\u5411\u4e0a\uff0c\u5176\u7ffb\u8bd1\u8d28\u91cf\u5747\u5b58\u5728\u663e\u8457\u5dee\u5f02 (p &lt; 0.001)\u3002<\/li>\n<li>\u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0c<strong>\u6c49\u82f1\u7ffb\u8bd1\u7684 BLEU \u5f97\u5206\u663e\u8457\u9ad8\u4e8e\u82f1\u6c49\u7ffb\u8bd1<\/strong>\uff0c\u8fd9\u8868\u660e\u65e0\u8bba\u662f ChatGPT \u8fd8\u662f NMT \u7cfb\u7edf\uff0c\u5728\u6c49\u82f1\u6cd5\u5f8b\u7ffb\u8bd1\u4efb\u52a1\u4e2d\u5747\u8868\u73b0\u66f4\u51fa\u8272\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u8ba8\u8bba\uff1a\u9519\u8bef\u7c7b\u578b\u5206\u6790\u4e0e\u7cfb\u7edf\u4f18\u52a3\u52bf<\/h2>\n<p>\u4e3a\u4e86\u66f4\u6df1\u5165\u5730\u7406\u89e3 ChatGPT \u548c NMT \u7cfb\u7edf\u5728\u6cd5\u5f8b\u6587\u672c\u7ffb\u8bd1\u4e2d\u7684\u8868\u73b0\uff0c\u672c\u7814\u7a76\u8fdb\u4e00\u6b65\u91c7\u7528\u4e86\u6848\u4f8b\u5206\u6790\u6cd5\uff0c\u5bf9\u5b83\u4eec\u5728\u6cd5\u5f8b\u6587\u672c\u7ffb\u8bd1\u4e2d\u51fa\u73b0\u7684\u9519\u8bef\u7c7b\u578b\u8fdb\u884c\u4e86\u7ec6\u81f4\u7684\u5256\u6790\u3002\u7814\u7a76\u5c06\u4e3b\u8981\u9519\u8bef\u5f52\u7eb3\u4e3a\u4ee5\u4e0b\u4e09\u5927\u7c7b\uff1a\u672f\u8bed\u7ffb\u8bd1\u9519\u8bef\u3001\u8bed\u6cd5\u548c\u53e5\u6cd5\u7ed3\u6784\u9519\u8bef\uff0c\u4ee5\u53ca\u98ce\u683c\u548c\u683c\u5f0f\u9519\u8bef\u3002<\/p>\n<h3>\u6c49\u82f1\u7ffb\u8bd1\u9519\u8bef\u5206\u6790<\/h3>\n<ul>\n<li><strong>\u672f\u8bed\u7ffb\u8bd1<\/strong>\uff1a \u5728\u6cd5\u5f8b\u672f\u8bed\u7ffb\u8bd1\u65b9\u9762\uff0cChatGPT \u548c NMT \u7cfb\u7edf\u8868\u73b0\u51fa\u76f8\u8fd1\u7684\u6c34\u5e73\uff0c\u672f\u8bed\u7ffb\u8bd1\u7684\u51c6\u786e\u7387\u90fd\u76f8\u5bf9\u8f83\u9ad8\uff0c\u96be\u4ee5\u76f4\u63a5\u533a\u5206\u4f18\u52a3\u3002\u4f8b\u5982\uff0c\u201c\u6709\u671f\u5f92\u5211\u201d (fixed-term imprisonment) \u548c \u201c\u65e0\u671f\u5f92\u5211\u201d (life imprisonment) \u7b49\u672f\u8bed\uff0c\u5404\u7cfb\u7edf\u5747\u80fd\u51c6\u786e\u7ffb\u8bd1\u3002\u4f46\u5bf9\u4e8e \u201c\u62d8\u5f79\u201d (criminal detention) \u7684\u7ffb\u8bd1\uff0c\u90e8\u5206\u7cfb\u7edf\u4e0e\u53c2\u8003\u8bd1\u6587 \u201climited incarceration\u201d \u5b58\u5728\u5dee\u5f02\uff0c\u4f8b\u5982 DeepL \u5c06 \u201c\u7ba1\u5236\u201d \u7ffb\u8bd1\u4e3a \u201ccontrol\u201d\uff0c\u7565\u663e\u4e0d\u591f\u7cbe\u51c6\u3002<\/li>\n<li><strong>\u8bed\u6cd5\u548c\u53e5\u6cd5\u7ed3\u6784<\/strong>\uff1a \u5728\u8bed\u6cd5\u548c\u53e5\u6cd5\u7ed3\u6784\u65b9\u9762\uff0c\u5404\u7cfb\u7edf\u4e5f\u5404\u6709\u4f18\u52a3\u3002\u4f8b\u5982\uff0c\u5728\u7ffb\u8bd1 \u201c\u5341\u5e74\u4ee5\u4e0a\u6709\u671f\u5f92\u5211\u201d \u65f6\uff0c\u8c37\u6b4c\u7ffb\u8bd1\u7684\u8bd1\u6587\u51fa\u73b0\u660e\u663e\u7684\u903b\u8f91\u9519\u8bef\uff0c\u8868\u8fbe\u5b58\u5728\u81ea\u76f8\u77db\u76fe\u4e4b\u5904\u3002\u800c\u5728\u7ffb\u8bd1 \u201c\u81f4\u4eba\u6b7b\u4ea1\u6216\u8005\u4ee5\u7279\u522b\u6b8b\u5fcd\u624b\u6bb5\u81f4\u4eba\u91cd\u4f24\u9020\u6210\u4e25\u91cd\u6b8b\u75be\u7684\u201d \u8fd9\u4e00\u590d\u6742\u8bed\u53e5\u65f6\uff0cChatGPT \u7684\u8bd1\u6587\u76f8\u5bf9\u7b80\u6d01\u660e\u4e86\uff0c\u800c\u90e8\u5206 NMT \u7cfb\u7edf\u7684\u8bd1\u6587\u5219\u5b58\u5728\u6f5c\u5728\u7684\u6b67\u4e49\u3002<\/li>\n<li><strong>\u98ce\u683c\u548c\u683c\u5f0f<\/strong>\uff1a \u5728\u98ce\u683c\u548c\u683c\u5f0f\u65b9\u9762\uff0cChatGPT \u548c NMT \u7cfb\u7edf\u5747\u672a\u51fa\u73b0\u660e\u663e\u7684\u683c\u5f0f\u9519\u8bef\uff0c\u7ffb\u8bd1\u7ed3\u679c\u7684\u7ed3\u6784\u4e0e\u539f\u6587\u4fdd\u6301\u4e00\u81f4\uff0c\u57fa\u672c\u7b26\u5408\u6cd5\u5f8b\u6587\u4ef6\u7684\u5178\u578b\u683c\u5f0f\u8981\u6c42\u3002\u4f46\u90e8\u5206 NMT \u7cfb\u7edf\u7684\u8bd1\u6587\u5728\u98ce\u683c\u4e0a\u7565\u663e\u4e0d\u8db3\uff0c\u4f8b\u5982 DeepL \u5c06 \u201cintentionally inflicts bodily harm\u201d \u7ffb\u8bd1\u4e3a \u201cintentionally inflicts bodily harm\u201d\uff0c\u7565\u663e\u751f\u786c\uff0c\u767e\u5ea6\u7ffb\u8bd1\u4f7f\u7528\u7684 \u201cthose who&#8230;\u201d \u5728\u6cd5\u5f8b\u82f1\u8bed\u4e2d\u4e5f\u76f8\u5bf9\u4e0d\u5e38\u89c1\u3002<\/li>\n<\/ul>\n<h3>\u82f1\u6c49\u7ffb\u8bd1\u9519\u8bef\u5206\u6790<\/h3>\n<ul>\n<li><strong>\u672f\u8bed\u7ffb\u8bd1<\/strong>\uff1a \u5728\u82f1\u6c49\u7ffb\u8bd1\u4e2d\uff0cChatGPT \u5728\u6cd5\u5f8b\u672f\u8bed\u7684\u51c6\u786e\u628a\u63e1\u4e0a\u7565\u900a\u4e00\u7b79\u3002\u4f8b\u5982\uff0cChatGPT \u5c06 \u201cwith intent to murder\u201d \u7ffb\u8bd1\u4e3a \u201c\u4ee5\u8c0b\u6740\u201d\uff0c\u8868\u8fbe\u8fc7\u4e8e\u7b80\u5355\uff0c\u672a\u80fd\u5145\u5206\u4f53\u73b0\u539f\u6587\u6240\u8574\u542b\u7684\u6cd5\u5f8b\u610f\u56fe\u3002\u53c8\u5982\uff0cChatGPT \u5c06 \u201cbe guilty of an offence triable upon indictment\u201d \u7ffb\u8bd1\u4e3a \u201c\u72af\u6709\u53ef\u88ab\u8d77\u8bc9\u7684\u7f6a\u884c\u201d\uff0c\u5ffd\u7565\u4e86 \u201cindictment (\u8d77\u8bc9)\u201d \u8fd9\u4e00\u5173\u952e\u7684\u6cd5\u5f8b\u7a0b\u5e8f\u6b65\u9aa4\u3002\u76f8\u6bd4\u4e4b\u4e0b\uff0cNMT \u7cfb\u7edf\u5728\u4e2d\u82f1\u6cd5\u5f8b\u672f\u8bed\u7ffb\u8bd1\u65b9\u9762\uff0c\u80fd\u591f\u63d0\u4f9b\u66f4\u4e3a\u7cbe\u51c6\u7684\u7ffb\u8bd1\u7ed3\u679c\u3002<\/li>\n<li><strong>\u8bed\u6cd5\u548c\u53e5\u6cd5\u7ed3\u6784<\/strong>\uff1a NMT 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