{
    "paper_id": "O13-3003",
    "header": {
        "generated_with": "S2ORC 1.0.0",
        "date_generated": "2023-01-19T08:03:35.592920Z"
    },
    "title": "",
    "authors": [
        {
            "first": "*",
            "middle": [],
            "last": "\u570b\uf9f7\u653f\u6cbb\u5927\u5b78\u8cc7\u8a0a\u7ba1\uf9e4\u5b78\u7cfb",
            "suffix": "",
            "affiliation": {
                "laboratory": "",
                "institution": "National Chengchi University",
                "location": {}
            },
            "email": ""
        }
    ],
    "year": "",
    "venue": null,
    "identifiers": {},
    "abstract": "Synonym groups can serve as resourceful linguistic metadata for information extraction and word sense disambiguation. Nevertheless, the reasons two words can be categorized into a particular synonym group need further study, especially when no explanation is available as to why any two words are synonymous. Lexical resources, such as the Chinese Synonym Forest (or Tongyici Cilin) (Mei et al. 1983), assemble lexical items into hierarchical categories via manual categorization. Other than this, statistical measures, such as co-existing probability, have been adopted widely to verify synonymous relationships. Nevertheless, a purely statistical method does not provide description that can help interpret why such a synonymous relationship occurs. We propose a novel method for the study of shared concepts within any synonym group by comparing co-existing words in the dictionary definition of each member in the group. The co-existing words are seen as the representatives of shared concepts that can be used for interpretating any hidden meaning among members of a synonym group. We also compare our results with the thesaurus function in the Sketch Engine (Kilgarriff et al. 2004), which uses statistical data in the form of Sketch scores. The results show that our method can produce concept words according to dictionary definitions, but this method also has its limitations, as it works only with a finite number of synonyms and under limited computing resources.",
    "pdf_parse": {
        "paper_id": "O13-3003",
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        "abstract": [
            {
                "text": "Synonym groups can serve as resourceful linguistic metadata for information extraction and word sense disambiguation. Nevertheless, the reasons two words can be categorized into a particular synonym group need further study, especially when no explanation is available as to why any two words are synonymous. Lexical resources, such as the Chinese Synonym Forest (or Tongyici Cilin) (Mei et al. 1983), assemble lexical items into hierarchical categories via manual categorization. Other than this, statistical measures, such as co-existing probability, have been adopted widely to verify synonymous relationships. Nevertheless, a purely statistical method does not provide description that can help interpret why such a synonymous relationship occurs. We propose a novel method for the study of shared concepts within any synonym group by comparing co-existing words in the dictionary definition of each member in the group. The co-existing words are seen as the representatives of shared concepts that can be used for interpretating any hidden meaning among members of a synonym group. We also compare our results with the thesaurus function in the Sketch Engine (Kilgarriff et al. 2004), which uses statistical data in the form of Sketch scores. The results show that our method can produce concept words according to dictionary definitions, but this method also has its limitations, as it works only with a finite number of synonyms and under limited computing resources.",
                "cite_spans": [],
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                "section": "Abstract",
                "sec_num": null
            }
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                        "text": "(Kilgarriff et al., 2004)",
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                        "text": "(Huang et al. 2004)",
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            {
                "text": "( ) X Y CoAP x X = \u2229 (1) \u8d99\u9022\u6bc5\u3001\u937e\u66c9\u82b3 ( ) ( ) 2 , 0 1 ( ) ( ) xy xy CoAP y CoAP x SRD SRD CoAP y CoAP x = \u2264 \u2264 + (2) \u5176\u4e2d x, y \u662f\uf978\u500b\u5f85\u8a08\u7b97\u7684\u8a5e\u689d\u5b57/\u8a5e\u5f59\uff0c X \u8207 Y \u5206\u5225\u662f x, y \uf978\u5b57\u7684\u91cb\u7fa9\u5b57\u5f59\u7d44\u5408\u3002 CoAP \u662f\u91cb\u7fa9\u8a5e\u5f59\u5171\u540c\u51fa\u73fe\u7684\u6db5\u84cb\u6bd4\uf9b5\uff0c\u5373\u662f\u8a08\u7b97\u5171\u540c\u51fa\u73fe\u7684\u91cb\u7fa9\u5b57\u5f59\u5728\u539f\u6709\u5b57\u5f59\u4e2d\u6240\u4f54 \u4e4b\u6bd4\uf9b5\u3002\u8a9e\u7fa9\u95dc\uf997\u7a0b\ufa01 (SRD) \u5373\u662f\u5c07\uf978\u8a5e\u8a9e CoAP(x), CoAP(y)\u76f8\u4e92\u4e4b\u9593\u6982\uf9a3\u6bd4\uf9b5\u7684\u65b9\u5411 \u6027\u6d88\u9664\uff0c\u6240\u4ee5\u4f7f\u7528\u5e73\u5747\uf969\u4ee5\u8868\u793a\uf978\u8a5e\u5f59\u4e4b\u9593\u5171\u540c\u91cb\u7fa9\u8a5e\u5f59\u8a9e\u7fa9\u95dc\uf997\u7a0b\ufa01\u3002\u5728\u9032\ufa08\u91cb\u7fa9\u95dc\uf997 \u8a08\u7b97\u4e2d\uff0c\u6703\u4f7f\u7528\u91cb\u7fa9\u8a5e\u5f59\u4e4b\u4e2d\u50c5\u4ee5\u5305\u6db5\u6982\uf9a3\u7fa9\u6db5\u8f03\u591a\u7684\u52d5\u8a5e\u8207\u540d\u8a5e\u8a5e\uf9d0\u9032\ufa08\u8a08\u7b97\u3002\u8a08\u7b97 \u904e\u7a0b\u5728\u6b64\u4ee5\u300c\uf992\u6f2a\u300d\u8207\u300c\uf9f2\u6ce2\u300d\uf978\u8a5e\u70ba\uf9b5\uff1a \u5728\u300a\u6559\u80b2\u90e8\u91cd\u7de8\u570b\u8a9e\u8fad\u5178\u4fee\u8a02\u672c\u300b\u91cb\u7fa9\u4e2d \u300c\uf992\u6f2a\u300d\u70ba\"\u6c34\u9762\u4e0a\u7d30\u5fae\u7684\u6ce2\u7d0b\u3002\uff02 \u300c\uf9f2\u6ce2\u300d\u70ba\"\u6c34\u9762\u4f3c\u9b5a\uf9f2\uf9fa\u7684\u6ce2\u7d0b\u3002\uff02 \u8a08\u7b97\u91cb\u7fa9\u8a5e\u5f59\u7d93\u4e2d\u7814\u9662\u65b7\u8a5e\u7cfb\u7d71 2 \u53d6\u5f97\u91cb\u7fa9\u6587\u5b57\u7684\u8a5e\u6027\u4e4b\u5f8c\uff0c\u50c5\u4f7f\u7528\u52d5\u8a5e\u8207\u540d\u8a5e\u9032\ufa08\u8a08\u7b97\u3002 \u8a08\u7b97\u904e\u7a0b\u5982\u4e0b\uff1a \u300c\uf992\u6f2a\u300d\u70ba\"\u6c34\u9762(Nc)\u4e0a(Ncd)\u7d30\u5fae(VH)\u6ce2\u7d0b(Na)\uff02 \u300c\uf9f2\u6ce2\u300d\u70ba\"\u6c34\u9762(Nc)\u4f3c(VG) \u9b5a\uf9f2\uf9fa(Na)\u6ce2\u7d0b(Na)\uff02 \u56e0\u6b64\uff0c ( ) 2 ( )= = ( ) 4 CoAP \u6c34\u9762 \u6ce2\u7d0b \uf992\u6f2a \u6c34\u9762 \u4e0a \u7d30\u5fae \u6ce2\u7d0b \uff0c\u540c\uf9e4 ( ) 2 ( )= = ( ) 4 CoAP \u6c34\u9762 \u6ce2\u7d0b \uf9f2\u6ce2 \u6c34\u9762 \u4f3c \u9b5a\uf9f2\uf9fa \u6ce2\u7d0b 2 2 4 4 , 2 2 4 4 ( ) ( ) =2 =2 =0.5 ( ) ( ) + CoAP CoAP SRD CoAP CoAP * + \uf992\u6f2a \uf9f2\u6ce2 \uf992\u6f2a \uf9f2\u6ce2 \uf992\u6f2a \uf9f2\u6ce2 \u5982\u679c\u4f7f\u7528\u7684\u91cb\u7fa9\u8a5e\u5f59\u5b8c\u5168\u76f8\u540c\uff0c\u5247\u900f\u904e\u4e0a\u8ff0\u5f97\u5230\u7684 SRD \u503c\u6703\u8f03\u9ad8\uff0c\u5373\u70ba\u91cb\u7fa9\u76f8\u540c\u7fa9 \u6db5\u8a5e\u5f59\uff1b\u53cd\u4e4b\uff0c\uf974\u5171\u6709\u91cb\u7fa9\u8a5e\u5f59\u4f54\u6709\u7684\u6bd4\uf9b5\u8f03\u4f4e\uff0c\u5247\u56e0\u6c92\u6709\u5171\u540c\u7684\u91cb\u7fa9\u5167\u5bb9\uff0c\u800c\u4f7f\uf978\u500b \u8a5e\u5f59\u5728\u76f4\u63a5\u7684\u91cb\u7fa9\u5167\u5bb9\u4e0a\uff0c\u7121\u6cd5\u627e\u5230\u5171\u540c\u8a5e\u5f59\u4ea4\u96c6\u3002\u7576\u4f7f\u7528\u9019\u91cb\u7fa9\u8a5e\u5f59\u9032\ufa08\u8a08\u7b97\u6642\uff0c\u6709 \u4e09\u9805\u4e3b\u8981\u7684\u7f3a\u9ede\uff1a(1)\u5171\u6709\u91cb\u7fa9\u8a5e\u5f59\uf969\u76ee\u7684\u8a08\u7b97\u662f\u4ee5\u65b7\u8a5e\u5f8c\u7684\u5b57\u8a5e\u7d44\u70ba\u57fa\u6e96\uff0c\u4e26\u4ee5\u5b57\u578b\u6bd4 \u8f03\u539f\u5247\u9032\ufa08\u8a08\u7b97\uff0c\u7121\u95dc\u8a5e\u5f59\u672c\u8eab\u610f\u7fa9\u3002\u5982\uff1a\u300c\u9b5a\uf9f2\u300d\u8207\u300c\uf9c4\uf9f2\u300d\uff0c\u96d6\u7136\uf978\u8005\u90fd\u662f\u4ee5\uf9f2\u7247 \u9032\ufa08\u6bd4\u55bb\uff0c\u4f46\u5728\u4ee5\u5b57\u578b\u70ba\u57fa\u790e\u7684\u5b57/\u8a5e\u7d44\u6bd4\u8f03\u6642\uff0c\u537b\u7121\u6cd5\u5c07\uf978\u8005\u9032\ufa08\u95dc\uf997\uff1b(2)\u591a\uf969\u8a5e\u5f59\u7684 \u5b8c\u6574\u91cb\u7fa9\uf906\u5b50\u90fd\uf967\u9577\uff0c\u5f9e\u800c\u4f7f\u5171\u6709\u91cb\u7fa9\u8a5e\u5f59\uf969\u76ee\u5c0d SRD \u503c\u7684\u5f71\u97ff\u5341\u5206\u654f\u611f\uff0c\u5982\u524d\u8ff0\u300c\uf9f2 \u6ce2\u300d\u4e00\u8a5e\u3002\uf974\u5c07\u91cb\u7fa9\u300c\uf9f2\u6ce2\u300d\u6539\u70ba\"\u6c34\u9762\u4e0a\u4f3c\u9b5a\uf9f2\uf9fa\u7684\u6ce2\u7d0b\u3002\uff02\uff0c\u5247\u7d93\u65b7\u8a5e\u4e4b\u5f8c\u70ba\"\u6c34 \u9762 (Nc) \u4e0a (Ncd) \u4f3c (VG) \u9b5a\uf9f2\uf9fa (Na) \u6ce2\u7d0b (Na)\u3002\uff02\uff0c\u5247\u5171\u6709\u91cb\u7fa9\u8a5e\u5f59\u7531\u539f\u672c\u7684\uf978\u8a5e",
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            },
            {
                "text": "2 \u4e2d\u7814\u9662\u65b7\u8a5e\u7cfb\u7d71\uff0cChinese Knowledge and Information Processing (CKIP) Word Segmentation System, http://ckipsvr.iis.sinica.edu.tw/ \u57fa\u65bc\u5b57\u5178\u91cb\u7fa9\u95dc\uf997\u65b9\u6cd5\u7684\u540c\u7fa9\u8a5e\u6982\uf9a3\u64f7\u53d6:",
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            },
            {
                "text": "EQUATION",
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                "eq_spans": [
                    {
                        "start": 0,
                        "end": 8,
                        "text": "EQUATION",
                        "ref_id": "EQREF",
                        "raw_str": "39 \u4ee5\u300a\u540c\u7fa9\u8a5e\u8a5e\uf9f4(\u64f4\u5c55\u7248)\u300b\u70ba\uf9b5 \u8b8a\u6210\u4e09\u8a5e\"\u6c34\u9762 (Nc )\u4e0a (Ncd )\u6ce2\u7d0b (Na)\u3002\uff02\u4e26\u4f7f ( ) 3 ( ) ( ) 4 CoAP = = \u6c34\u9762 \u4e0a \u6ce2\u7d0b \uf992\u6f2a \u6c34\u9762 \u4e0a \u7d30\u5fae \u6ce2\u7d0b \u4e14 ( ) 3 ( ) ( ) 4 CoAP = = \u6c34\u9762 \u4e0a \u6ce2\u7d0b \uf9f2\u6ce2 \u6c34\u9762 \u4f3c \u9b5a\uf9f2\uf9fa \u6ce2\u7d0b \u6700 \u5f8c \uf978 \u500b \u7684 SRD \u503c \u5247 \u6703 \u662f 3 3 4 4 , 3 3 4 4 =2 =0.75 + SRD * \uf992\u6f2a \uf9f2\u6ce2 \u800c\u63d0\u9ad8 25%\uff1b (3)\u6240\u6709\u5171\u540c\u91cb\u7fa9\u8a5e\u5f59\u7684\u6b0a\u91cd\u7686\u76f8\u540c\uff0c\uf967\u6703\u5340\u5225 \u5b57\u8a5e\u5728\u91cb\u7fa9\uf906\u4e2d\u7684\u8a9e\u6cd5\u89d2\u8272\uff0c\u56e0\u6b64\u91cb\u7fa9\u5404\u5b57\u8207\u8a5e\u5f59\u7684\u8a6e\u91cb\u6bd4\u91cd\u7686\u76f8\u540c\u3002\u5982\u7d93\u65b7\u8a5e\u4e4b\u5f8c\u7684 \u300c\uf9f2\u6ce2\u300d\u70ba\"\u6c34\u9762(Nc) \u4e0a(Ncd) \u4f3c(VG) \u9b5a\uf9f2\uf9fa(Na) \u6ce2\u7d0b(Na)\u3002\uff02\uff0c\u4f9d\uf906\u578b\u6587\u6cd5\u8207\u8a6e\u91cb \u7684\u89d2\ufa01\u89e3\uf95a\uff0c\u5176\u6982\uf9a3\u8868\u9054\u50c5\u9700\u8981\"\u9b5a\uf9f2\uf9fa\uff02\u3001\"\u6ce2\u7d0b\uff02\u3001\"\u6c34\u9762\uff02\u4e09\u8a5e\u5f59\uff0c\u4f46\u4e0a\u8ff0\u91cb\u7fa9 \u95dc\uf997\u65b9\u6cd5\u5247\u7121\u6cd5\u628a\u529f\u80fd\u8a5e\u53bb\u9664\u3002\u57fa\u65bc\u91cb\u7fa9\u6587\u5b57\u7684\u5b57\u8a5e\u7d44\u70ba\u8868\u9054\u8fad\u689d\u6982\uf9a3\u610f\u6db5\u7684\u539f\u5247\u4e4b\u4e0b\uff0c \u6211\u5011\u5247\u5c07\u91cb\u7fa9\u6587\u5b57\u7684\u91cb\u7fa9\u4e5f\u52a0\u5165\uf978\u8a5e\u5f59\u4e4b\u9593\u7684\u95dc\uf997\u6bd4\u8f03\uff0c\u56e0\u6b64\u7528\uf92d\u8a08\u7b97\u7684\u5171\u7528\u91cb\u7fa9\u8a5e\u5f59 \u80fd\u5920\uf967\u50c5\u5c40\u9650\u65bc\u55ae\u4e00\u91cb\u7fa9\u968e\u5c64\u7684\u8a5e\u5f59(\u5b57\u578b\u76f8\u540c)\u6bd4\u8f03\u4e0a\u3002\u4ee5\u4f7f\u7528\u76f8\u540c\u7684\u8fad\u5178\u5167\u5bb9\uff0c\u518d\u6b21 \u89e3\u91cb\u51fa\u73fe\u7684\u5171\u6709\u91cb\u7fa9\u8a5e\u5f59\u610f\u7fa9\uff0c\u4e26\u7d0d\u5165\u95dc\uf997\u8a08\u7b97\u51fd\u5f0f\u4e2d\uff0c\u9664\uf9ba\u4ee5\u589e\u52a0\u5171\u6709\u91cb\u7fa9\u8a5e\u5f59\u5ee3\ufa01\uff0c \u540c\u6642\u4e5f\u4f9d\u91cd\u8986\u51fa\u73fe\u7684\u91cb\u7fa9\u8a5e\u5f59\u8a08\u6b21\uf92d\u6c7a\u5b9a\uf96b\u8207\u8a08\u7b97\u6b0a\u91cd\uff0c\u4ee5\u6539\u5584\u524d\u8ff0\u7684\u4e09\u9805\u7f3a\u9ede\u3002\u8a08\u7b97 \u65b9\u5f0f\u5982\u4e0b\uff1a\uf9a8 X 1 \u70ba\u689d\u76ee x \u6240\u6709\u7b26\u5408\u904e\uf984\u689d\u4ef6\u7684\u8fad\u5178\u91cb\u7fa9\u8a5e\u5f59\uff0c\u5373\u7b2c\u4e00\u968e(\u76f4\u63a5)\u91cb\u7fa9\u8a5e\u5f59 \u7d44\u5408\uff1bX 2 \u70ba X 1 \u91cb\u7fa9\u8a5e\u5f59\u518d\u7d93\u904e\u8fad\u5178\u91cb\u7fa9\u6587\u5b57\u64f4\u5145\u4e26\u7b26\u5408\u904e\uf984\u689d\u4ef6\u8a5e\u5f59\uff0c\u5373\u7b2c\u4e8c\u968e\u91cb\u7fa9 \u8a5e\u5f59\u7d44\u5408(\u91cb\u7fa9\u6587\u5b57\u7684\u91cb\u7fa9)\uff1b\u540c\uf9e4\uff0cY 2 \u70ba Y 1 \u7b26\u5408\u7684\u91cb\u7fa9\u8a5e\u5f59\uff0c\u518d\u7d93\u8fad\u5178\u91cb\u7fa9\u64f4\u5145\u5f8c\u4e14\u7b26 \u5408\u904e\uf984\u689d\u4ef6\u8a5e\u5f59\u96c6\u5408\u3002\u800c (1 2) X + \u70ba X 1 \u7b2c\u4e00\u968e(\u76f4\u63a5)\u8207 X 2 \u7b2c\u4e8c\u968e(\u91cb\u7fa9\u6587\u5b57\u7684\u91cb\u7fa9)\u91cb\u7fa9\u8a5e \u5f59\u7684\u96c6\u5408\u7e3d\u5408\uff1b\u540c\uf9e4\uff0c (1 2) Y + \u70ba Y 1 \u7b2c\u4e00\u968e\u8207 Y 2 \u7b2c\u4e8c\u968e\u91cb\u7fa9\u8a5e\u5f59\u7684\u96c6\u5408\u7e3d\u5408\u3002\u800c X 1 \u3001X 2 \u8207 Y 1 \u3001 Y 2 \u5171\u540c\u64c1\u6709\u7684\u91cb\u7fa9\u6587\u5b57\u7684\u96c6\u5408\u5247\u8868\u793a\u70ba (1 2) (1 2) X Y + + \u2229 \uff0c \u4f7f\u524d\u8ff0\u7684\u7b2c\u4e8c\u968e \u5171\u6709\u91cb\u7fa9\u95dc\uf997\u503c\u8a08\u7b97\u5247\u4fee\u6539\u6210 1 2 1 2 2 , 1 2 ( ) ( ) ( ) ( ) x y X X Y Y CoAP x X X + + = + \u2229 \u4ee5\u8868\u793a\u6240\u6709\u7528\uf92d\u91cb\u7fa9 x \u8a5e\u689d\u7684\u7b2c\u4e00\u968e\u8207\u7b2c\u4e8c\u968e\u6587\u5b57\u96c6\u5408\uff0c\u8207\u6240\u6709\u7528\uf92d\u91cb\u7fa9 y \u7684\u7b2c\u4e00\u968e\u8207\u7b2c\u4e8c\u968e\u6587\u5b57\u96c6\u5408\uff0c\uf978\u8005 \u4e4b\u9593\u4ea4\u96c6\u5171\u540c\u51fa\u73fe\u7684\u64f4\u5145\u91cb\u7fa9\u5b57\u8a5e\u7684\u6bd4\uf9b5\u3002\u4ee5\u6b64\uf9d0\u63a8\uff0c\u5247\u7b2c n \u968e\u5c64\u91cb\u7fa9\u95dc\uf997\u7684\u4e00\u822c\u5f0f\u5373 \u53ef\u5beb\u6210\uff1a , ( ) i i n i n i n x y i i n X Y CoAP x X = = = = \u2211 \u2211 \u2211 \u2229 (3) \u5f9e\u800c\u7528\uf92d\u8a08\u7b97\uf978\u8005\u4e4b\u9593\u7684\u7b2c n \u968e\u91cb\u7fa9\u95dc\uf997\uf969\u503c\u5247\u4fee\u6539\u6210\u70ba\u4e0b\uf99c\u4e00\u822c\u5f0f\uff1a , ,",
                        "eq_num": ", , , , ( ) ("
                    }
                ],
                "section": "",
                "sec_num": null
            },
            {
                "text": ") 2 , 0 1 ( ) ( ) n n x y x y n n x y x y n n x y x y CoAP x CoAP y SRD SRD CoAP x CoAP y = \u2264 \u2264 + (4) \u900f\u904e\u524d\u8ff0\u591a\u968e\u5c64\u53cd\u8986\u91cb\u7fa9\u4e26\u8a08\u7b97\u5171\u540c\u51fa\u73fe\u7684\u91cb\u7fa9\u6587\u5b57\u6bd4\uf9b5\uff0c\u5728\u5148\u524d SRD \u7684\u6bd4\u8f03\u65b9\u6cd5 \u7814\u7a76\u4e2d\u5df2\u8a0e\uf941\u904e\uff0c\u9664\uf9ba\u53ef\u4ee5\u767c\u6398\u8a5e\u5f59\u6df1\u5c64\u7684\u91cb\u7fa9\u8a5e\u5f59\uff0c\u4ea6\u53ef\u4f7f\u91cb\u7fa9\u95dc\uf997\u503c\uf967\u53d7\u91cb\u7fa9\u6587\u5b57 \u8d99\u9022\u6bc5\u3001\u937e\u66c9\u82b3 \u4e9b\u5fae\u4fee\u6539\u800c\u5927\u5e45\u5f71\u97ff\u91cb\u7fa9\u95dc\uf997\u503c\u3002\u5728\u8a08\u7b97\u5171\u540c\u64c1\u6709\u7684\u91cb\u7fa9\u6587\u5b57\u5728\u53cd\u8986\u7684\u968e\u5c64\u91cb\u7fa9\u904e\u7a0b\u4e2d\uff0c \u4e5f\u53ef\uf9dd\u7528\u53cd\u8986\u91cb\u7fa9\u800c\u51fa\u73fe\u7684\u8a5e\u5f59\uf94f\u8a08\uff0c\u7a81\u986f\u51fa\u6b0a\u91cd\u9ad8\u7684\u4f54\u6709\u8a5e\u5f59\u4e26\u52a0\u5165\u8a08\u7b97\u3002\u5728\u591a\u968e\u5c64 \u53cd\u8986\u91cb\u7fa9\u7684\u904e\u7a0b\uff0c\u80fd\u627e\u51fa\uf978\u8a5e\u5f59\u4e4b\u9593\u6df1\u5c64\u7684\u5171\u6709\u91cb\u7fa9\u8a5e\u5f59\uff0c\u4e26\u4e14\u56e0\u70ba\u80fd\u88ab\u64f4\u5145\u91cb\u7fa9\u7684\u8a5e \u5f59\u90fd\u5df2\u7d93\u900f\u904e\u8fad\u5178\u91cb\u7fa9\u904e\uff0c\u6240\u4ee5\u53cd\u8986\u91cb\u7fa9\u6709\u76ca\u65bc\u7a69\u5b9a\u8a08\u7b97\u95dc\uf997\u7684\u7d50\u679c(\u5373\u6240\u6709\u91cb\u7fa9\u6210\u4efd\u6240 \u4f54\u767e\u5206\u6bd4\u6703\u50be\u5411\u4e00\u5b9a\u7684\u7d44\u6210\u6bd4\uf961)\u3002\u6700\u5f8c\u5728\u524d\u5148\u7684\u7814\u7a76\u4e2d\u4ea6\u5efa\u8b70\u591a\u968e\u5c64\u91cb\u7fa9\u95dc\uf997\u503c\uff0c\u53ef\u4ee5 \u53d6\u7528\u7b2c\u56db\u968e\u5c64\u7684\u8a9e\u7fa9\u95dc\uf997\u7a0b\ufa01\u9032\ufa08\u8a0e\uf941(\u5373\u53cd\u8986\u9032\ufa08\u91cb\u7fa9\u8655\uf9e4\u81f3 X 1 \u3001X 2 \u3001X 3 \u3001X 4 \uff0c\u4e26\u5c07\u6240 \u6709\u7d50\u679c\u52a0\u7e3d\u8a08\u6b21)\u3002 3. \u300a\u540c\u7fa9\u8a5e\u8a5e\uf9f4(\u64f4\u5c55\u7248) \u300b \u54c8\u723e\u6ff1\u5de5\u696d\u5927\u5b78\u4fe1\u606f\u6aa2\uf96a\u7814\u7a76\u5ba4 (HIT IR Lab) \u6240\u63d0\u4f9b\u7684\u516c\u958b\u7248\u672c\u300a\u64f4\u5c55\u7248\u300b\uff0c\u662f\u6574\uf9e4\u81ea \u300a\u8a5e\uf9f4\u300b(\u6885\u5bb6\u99d2\u7b49\uff0c1983)\uff0c\u9664\uf9ba\u522a\u9664\u820a\u8a5e\u8207\u7f55\u7528\u8a5e\u5916\uff0c\u4e26\u4f9d\u65b0\u805e\u8a9e\uf9be\u52a0\u5165\u5e38\u7528\u65b0\u8a5e\u3002 \u5728\u6885\u7248\u7684\u300a\u8a5e\uf9f4\u300b\u4e2d\uff0c\u6536\uf93f\uf92d\u81ea\u8a5e\u7d20\u3001\u8a5e\u7d44\u3001\u6210\u8a9e\u3001\u65b9\u8a00\u8a5e\u8207\u53e4\u8a9e\u7b49\u8a5e\u5171\u4e94\u842c\u4e09\u5343\u591a\u8a5e \u5f59\uf969\uff0c\u4e26\u4e14\u4f9d\u7167\u540c\u7fa9\u8a5e\u5206\uf9d0\u6db5\u7fa9\u6709\u7cfb\u7d71\u5730\u5340\u5206\u70ba\u4eba\u3001\u7269\u3001\u6642\u9593\u3001\u7a7a\u9593\u3001\u62bd\u8c61\u4e8b\u7269\u3001\u7279\u5fb5\u3001 \u52d5\u4f5c\u3001\u5fc3\uf9e4\u6d3b\u52d5\u3001\u73fe\u8c61\u8207\uf9fa\u614b\u3001\u95dc\uf997\u3001\u8a9e\u52a9\u3001\u656c\u8a9e\u7b49\u5341\u4e8c\u7d44\u5927\uf9d0(\u4ee5 A \u5230 L \u6a19\u8a18\uf9d0\u5225\u7684 \u7b2c\u4e00\u4f4d\u82f1\u6587\u5b57)\u4ee5\u53ca\uf974\u5e72\u4e2d\uf9d0\u8207\u5c0f\uf9d0\u3002\u540c\uf9d0\u578b\u8a5e\u8a9e\u4f9d\u7167\u300c\u76f8\u5c0d\u3001\u6bd4\u8f03\u300d\u7684\u6392\u5e8f\u539f\u5247(\u6885\u5bb6 \u99d2\u7b49\uff0c1983)\u4f9d\u540c\u7fa9/\u8fd1\u7fa9\u7a0b\ufa01\u5728\u540c\uf9d0\u578b\u4e2d\uff0c\u55ae\ufa08\u8a5e\u8a9e\u7531\u5de6\u81ea\u53f3\u6392\uf99c\uff0c\u8a5e\u8a9e\u6240\u5c6c\uf9d0\u5225\u8207\uf99c 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                "text": "Proceedings of the 4th SIGHAN Workshop on Chinese Language Processing, Jeju island, Korea, 48-55. Kilgarriff, A., Rychly, P., Smrz, P., & Tugwell, D.(2004) ",
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                "title": "Chinese Sketch Engine and the Extraction of Grammatical Collocations",
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                        "first": "C",
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                            "R"
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                "num": null,
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                "raw_text": "Huang, C.R., Kilgarriff, A., Wu, Y., Chiu, C.M., Smith, S., Rychly, P., Bai, M.H., & Chen, K.J. (2005). Chinese Sketch Engine and the Extraction of Grammatical Collocations, In",
                "links": null
            }
        },
        "ref_entries": {
            "TABREF0": {
                "num": null,
                "text": "",
                "content": "<table><tr><td>\u57fa\u65bc\u5b57\u5178\u91cb\u7fa9\u95dc\uf997\u65b9\u6cd5\u7684\u540c\u7fa9\u8a5e\u6982\uf9a3\u64f7\u53d6:</td><td>37</td></tr><tr><td>\u4ee5\u300a\u540c\u7fa9\u8a5e\u8a5e\uf9f4(\u64f4\u5c55\u7248)\u300b\u70ba\uf9b5</td><td/></tr><tr><td colspan=\"2\">\u300c\u540c\u7fa9\u76f8\u8a13\u300d\u662f\u5728\u8a5e\u7fa9\u8a13\u8a41\u4e0a\u7684\u4e3b\u8981\u5de5\u4f5c\u3002\u9019\u9805\u5de5\u4f5c\u5f80\u5f80\u9700\u8981\u82b1\u8cbb\u8a31\u591a\u4eba\uf98a\u8207\u6642\u9593\uff0c\u624d</td></tr><tr><td colspan=\"2\">\u80fd\u6e05\u695a\u5730\u5206\u6790\u51fa\u8a5e\u5f59\u4e4b\u9593\u7684\u540c\u7fa9\u5167\u6db5\u3002\u6b64\uf9d0\u578b\u7684\u6210\u679c\u773e\u591a\uff0c\u5982\u6885\u5bb6\u99d2\u7b49(1983)\u6240\u7de8\u64b0\u7684</td></tr><tr><td colspan=\"2\">\u4e2d\u6587\u300a\u540c\u7fa9\u8a5e\u8a5e\uf9f4\u300b(\u4ee5\u4e0b\u7a31\u300a\u8a5e\uf9f4\u300b)\uff0c\u6536\uf93f\uf92d\u81ea\u8a5e\u7d20\u3001\u8a5e\u7d44\u3001\u6210\u8a9e\u3001\u65b9\u8a00\u8a5e\u8207\u53e4\u8a9e\u7b49</td></tr><tr><td colspan=\"2\">\u8a5e\uff0c\u5171\u4e94\u842c\u4e09\u5343\u591a\u8a5e\u5f59\uff0c\u4e26\u4e14\u4f9d\u7167\u540c\u7fa9\u8a5e\u5206\uf9d0\u7fa9\u6db5\u6709\u7cfb\u7d71\u5730\u5206\u6210\uf967\u540c\u7684\uf9d0\u5225\u3002\u5176\u5f8c\u7d93\u7531</td></tr><tr><td colspan=\"2\">\u54c8\u723e\u6ff1\u5de5\u696d\u5927\u5b78\u4fe1\u606f\u6aa2\uf96a\u7814\u7a76\u5ba4(HIT IR Lab)\u522a\u9664\u820a\u8a5e\u8207\u7f55\u7528\u8a5e\uff0c\u4e26\u4f9d\u65b0\u805e\u8a9e\uf9be\u52a0\u5165\u5e38\u7528</td></tr><tr><td colspan=\"2\">\u65b0\u8a5e\uff0c\u4f7f\u64f4\u5c55\u7248\u8a5e\u5f59\uf97e\u589e\u52a0\u5230\u4e03\u842c\u591a\u3002\u300a\u8a5e\uf9f4\u300b\u4e2d\uff0c\u8a5e\u8a9e\u5206\uf9d0\u539f\u5247\u662f\u300c\u76f8\u5c0d\u3001\u6bd4\u8f03\u300d(\u6885</td></tr><tr><td colspan=\"2\">\u5bb6\u99d2\u7b49\uff0c1983)\uff0c\u8a5e\u8a9e\u6240\u5c6c\uf9d0\u5225\u8207\uf99c\u8209\u4f4d\u7f6e\u54f2\u5b78\u6709\u4f5c\u8005\u5011\uf967\u53ef\u8a00\u55bb\u5de7\u601d\u3002\u7b2c\u4e8c\uff0c\u6a5f\u5668\u5b78\u7fd2</td></tr><tr><td colspan=\"2\">\u65b9\u6cd5\u9032\ufa08\u540c\u7fa9\u8a5e\u8fa8\u6790\u8fd1\uf98e\uf92d\uf967\u65b7\u767c\u5c55\uff0c\u4f46\u8457\u91cd\u5728\u4f7f\u7528\u540c\u7fa9\u5b57\u8a5e\u9032\ufa08\u4e0a\u4e0b\u6587\u4e4b\u4e2d\u8a5e\u7fa9\u7684\u6d88</td></tr><tr><td colspan=\"2\">\u6b67\u3002\u5728\u9032\ufa08\u540c\u7fa9\u6d88\u6b67\u7684\u8655\uf9e4\u904e\u7a0b\u4e2d\uff0c\u53c8\u53ef\u5340\u5206\u70ba\u76e3\u7763\u5f0f\u8207\u975e\u76e3\u7763\u5f0f\uf978\u7a2e\u5b78\u7fd2\u65b9\u6cd5\uff0c\uf92d\u9032</td></tr><tr><td colspan=\"2\">\ufa08\u8fa8\u5225\u662f\u5426\u53ef\u6b78\u70ba\u540c\u7fa9\u5b57\u7fa4\u3002\u4e0a\u8ff0\u7684\uf978\uf9d0\u6a5f\u5668\u5b78\u7fd2\u65b9\u6cd5\u90fd\u9700\u8981\uf96b\u8003\u8a9e\uf9be\u5eab\u7684\u8a5e\uf9d0\u983b\uf961\u8a08</td></tr><tr><td colspan=\"2\">\u7b97\u5f8c\uff0c\u624d\u80fd\u5f97\u5230\u5b57\u8a5e\u4e4b\u9593\u7684\u76f8\u4f3c\u7a0b\ufa01\u3002\u5728\u9032\ufa08\u6b64\uf9d0\u65b9\u6cd5\u6642\uff0c\u5e38\ufa0a\u7684\u554f\u984c\u662f\u7f3a\u4e4f\u5927\u578b\u8a9e\uf9be</td></tr><tr><td>\u5eab\u8207\u540c\u7fa9\u8a5e\u8cc7\uf9be\u7a00\u758f\u7684\u901a\u5247(\uf9c7\u633a\u8207\uf902\u842c\u7fd4\uff0c\u7db2\u9801\u8cc7\uf9be\u64f7\u53d6\u65bc 2012)\u3002</td><td/></tr><tr><td>\u6458\u8981</td><td/></tr><tr><td colspan=\"2\">\u540c\u7fa9\u8a5e\u5728\u8cc7\u8a0a\u64f7\u53d6\u8207\u8a9e\u7fa9\u5206\uf9d0\u4e0a\u662f\u5f88\u91cd\u8981\u7684\u8a9e\uf9be\u8cc7\u8a0a\uff0c\u4f46\u5c07\uf978\u8a5e\u6b78\u7d0d\u70ba\u540c\u7fa9\u5176</td></tr><tr><td colspan=\"2\">\u539f\u7531\u5247\u503c\u5f97\uf9a8\u4eba\u63a2\u8a0e\u3002\u5f9e\u8a9e\u7fa9(sense)\u7684\u89c0\u9ede\uf92d\uf96f\uff0c\u591a\u7fa9\u8a5e\u7d44\u6b78\u5230\u7279\u5b9a\u540c\u7fa9\u7d44\u5408</td></tr><tr><td colspan=\"2\">\u4e2d\uff0c\u5176\u8a9e\u7fa9\u4e2d\u61c9\u6709\u8207\u8a72\uf9d0\u5b57\u8a5e\u540c\u7fa9\u96c6\u5408\u3002\u6b64\uf9d0\u578b\u7684\u4ee3\u8868\u70ba\u300a\u540c\u7fa9\u8a5e\u8a5e\uf9f4\u300b(\u6885</td></tr><tr><td colspan=\"2\">\u5bb6\u99d2\u3001\u7afa\u4e00\u9cf4\u3001\u9ad8\u860a\u7426\u8207\u6bb7\u9d3b\u7fd4\uff0c1983)\uff0c\u5c07\u6f22\u8a9e\u540c\u7fa9\u5b57\u8a5e\u5340\u5206\u6210\u5177\u7d50\u69cb\uf9d0\u5225\u3002</td></tr><tr><td colspan=\"2\">\u800c\u5f9e\u8a08\u7b97\u8a9e\u8a00\u5b78\u65b9\u6cd5\uf92d\uf96f\uff0c\u540c\u7fa9\u8a5e\u95dc\uf997\u9700\u8981\uf96b\u8003\u8a9e\uf9be\u5eab\u4e2d\u8a5e\u7d44\u7684\u51fa\u73fe\u983b\uf961\uff0c\u8f14</td></tr><tr><td colspan=\"2\">\u4ee5\u6a5f\u5668\u5b78\u7fd2\u65b9\u6cd5\uf92d\u8a08\u7b97\u540c\u7fa9\u8a5e\u76f8\u4f3c\ufa01\u3002\u7136\u800c\u524d\u8005\u5c08\u5bb6\u5206\uf9d0\u539f\u5247\u662f\u900f\u904e\u8a9e\u611f\u9032\ufa08\uff0c</td></tr><tr><td colspan=\"2\">\uf974\u6c92\u6709\u5c0d\u540c\u7fa9\u8a5e\u7684\uf9d0\u5225\u539f\u5247\u52a0\u4ee5\u5b9a\u7fa9\uff0c\u5247\u5f8c\u4eba\uf965\u6703\u7522\u751f\u5c0d\u540c\u7fa9\u8a5e\u7684\u6df7\u6dc6\u3002\u5f8c\u8005</td></tr><tr><td colspan=\"2\">\u6a5f\u5668\u5b78\u7fd2\u65b9\u6cd5\u4f7f\u7528\u7d71\u8a08\u65b9\u6cd5\uf92d\u8fa8\u5225\u76f8\u4f3c\u8a5e\u5f59\uff0c\u5247\u6703\u7f3a\u4e4f\u8a9e\u7fa9\u7684\u8fa8\u5225\u3002\u70ba\uf9ba\u77ad\u89e3</td></tr><tr><td colspan=\"2\">\u540c\u7fa9\u8a5e\u7d44\u7684\u6982\uf9a3\u5167\u6db5\uff0c\u672c\u7814\u7a76\u63d0\u51fa\u57fa\u65bc\u8fad\u5178\u91cb\u7fa9\u6587\u5b57\u7684\u95dc\uf997\u8a08\u7b97\u539f\u5247\uff0c\u8a66\u900f\u904e</td></tr><tr><td colspan=\"2\">\u8a08\u7b97\u5171\u540c\u64c1\u6709\u7684\u91cb\u7fa9\u6587\u5b57\u51fa\u73fe\u6bd4\uf961\uff0c\u4ee5\u89e3\u6790\uf978\u8a5e\u5f59\u9593\u6240\u5305\u6db5\u4e4b\u91cb\u7fa9\u6982\uf9a3\u3002\u4e26\u4e14</td></tr><tr><td colspan=\"2\">\u4ee5\u300a\u540c\u7fa9\u8a5e\u8a5e\uf9f4(\u64f4\u5c55\u7248)\u300b\u70ba\uf9b5\uff0c\u5f9e\u91cb\u7fa9\u7fa9\u6db5\u7684\u89d2\ufa01\uf99c\u8209\u51fa\u9069\u5408\u8a6e\u91cb\u8a72\u8a5e\u7d44</td></tr><tr><td>1. \u7c21\u4ecb</td><td/></tr><tr><td colspan=\"2\">\u540c\u7fa9\u8a5e\u8a9e\uf9be\u5728\u81ea\u7136\u8a9e\u8a00\u8655\uf9e4\u8207\u8cc7\u8a0a\u64f7\u53d6\u6280\u8853\uf9b4\u57df\u4e0a\u662f\u5f88\u91cd\u8981\u7684\uf96b\u8003\u8cc7\u6e90\u3002\u900f\u904e\u540c\u7fa9\u8a5e\u8a9e</td></tr><tr><td colspan=\"2\">\uf9be\uf967\u50c5\u80fd\u8b93\u6a5f\u5668\u5b78\u7fd2\u65b9\u6cd5\uf901\u77ad\u89e3\u4f7f\u7528\u8005\u6240\u95e1\u8ff0\u7684\u6587\u5b57\u5167\u5bb9\u6982\uf9a3\uff0c\u4ea6\u53ef\u4ee5\u5c0d\u63d0\u554f\u6587\u5b57\u8209\u4e00</td></tr><tr><td colspan=\"2\">\u53cd\u4e09\u3002\u5728\u8a5e\u5f59\u540c\u7fa9\u7684\u6b78\u7d0d\u4e0a\uff0c\u5927\u6982\u53ef\u5340\u5206\u70ba\uf978\u7a2e\u9032\ufa08\u65b9\u5411\uff1a\u8a5e\u7fa9\u8a13\u8a41\u8207\u6a5f\u5668\u5b78\u7fd2\u3002\u7b2c\u4e00\uff0c</td></tr><tr><td colspan=\"2\">\"\u7fa9\u8a13\u8005\uff0c\u89c0\uf9a3\u76f8\u540c\uff0c\u754c\uf96f\u76f8\u540c\uff0c\u7279\uf967\uf96f\uf978\u5b57\u4e4b\u88fd\u9020\u53ca\u5176\u767c\u97f3\uff02(\u9ec3\u4f83\u8ff0\u8207\u9ec3\u60bc\uff0c1983)\u3002</td></tr></table>",
                "type_str": "table",
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            },
            "TABREF7": {
                "num": null,
                "text": "Engine (http://the.sketchengine.co.uk)(Kilgarriff et al., 2004)\u662f\u8a9e\uf9be\u5eab\u8655\uf9e4\u7cfb\u7d71\uff0c\u4e3b \u8981\u7684\u529f\u80fd\u662f\u4f7f\u7528 KWIC (key word in context) \u51fa\u73fe\u983b\uf961\u53ca\u5206\u4f48\uff0c\u7d50\u5408\u4e2d\u6587\u8a9e\u6cd5\u95dc\uf997 (grammatical relations, gramrels) \u5206\u6790\uff0c\u8a08\u7b97\u6587\u5b57\u5171\u540c\u51fa\u73fe\ufa08\u70ba\u7684\u7d71\u8a08\u7d50\u679c\uff0c\u4ee5\u63d0\u4f9b\uf96a\u5f15 (concordance)\u3001\u8a5e\u5f59\uf99c\u8868 (word list)\u3001\u8a5e\u5f59\u901f\u63cf (word sketch)\u3001\u540c\u8fd1\u7fa9\u8a5e (thesaurus) \u7b49 \u529f\u80fd(Huang et al., 2005)\u3002\u6211\u5011\u4ee5\"\u62db\u724c\uff02\u70ba\uf9b5\uff0c\u4f7f\u7528 zhTenTen \u8a9e\uf9be\u5eab\u53d6\u5f97\u5176\u540c\u7fa9\u8a5e\uff0c \u4e26\u6bd4\u8f03\u672c\u7814\u7a76\u6240\u4f7f\u7528\u7684\u91cb\u7fa9\u8a9e\u7fa9\u95dc\uf997\u539f\u5247\u6240\u8868\u793a\u7684\u95dc\uf997\u7a0b\ufa01\uff0c\u8207\u4f7f\u7528 Sketch Engine \u4e2d\u8a9e \u6cd5\u6a21\u5f0f\u53ca\u6587\u5b57\u5171\u540c\u51fa\u73fe\ufa08\u70ba\u6240\u5c0b\u627e\u7684\u540c\u7fa9\u8a5e\u5f59\u9032\ufa08\u6bd4\u8f03\u3002\u9078\u7528\u7684 zhTenTen \u8a9e\uf9be\u5eab\u662f\u7531\u7a0b \u5f0f\u81ea\u52d5\u6293\u53d6\u7db2\uf937\u4e0a\u7c21\u9ad4\u5b57\u4e2d\u6587\u6587\u672c\u5f8c\uff0c\u4f7f\u7528 Stanford Chinese Word Segmenter \u53ca Chinese Penn Treebank standard \u6a21\u5f0f\u6240\u5efa\uf9f7\u7684 Stanford Log-linear Part-of-speech Tagger \u539f\u5247\u8655\uf9e4 \u7684\u8a9e\uf9be\u5eab\uff0c\u76ee\u524d\u7d04\u6709 20 \u5104\u500b\u5b57\uff0c\u5408\u8a08 17 \u5104\uf967\u91cd\u8986\u5b57\u5728\u8a9e\uf9be\u5eab\u4e2d\u3002\u5728 Sketch Engine \u4e4b\u4e2d\uff0c \u6211\u5011\u4ee5\"\u62db\u724c\uff02\u8a5e\u5f59\u67e5\u8a62 Thesaurus \u529f\u80fd\u4e2d\u7684 Find Similar Words\uff0c\"\u62db\u724c\uff02\u5728 zhTenTen",
                "content": "<table><tr><td colspan=\"5\">\u57fa\u65bc\u5b57\u5178\u91cb\u7fa9\u95dc\uf997\u65b9\u6cd5\u7684\u540c\u7fa9\u8a5e\u6982\uf9a3\u64f7\u53d6: \u4ee5\u300a\u540c\u7fa9\u8a5e\u8a5e\uf9f4(\u64f4\u5c55\u7248)\u300b\u70ba\uf9b5 \u8868 7.\u53d6\u81ea tw-synonyms-chilin \u4e4b\u6458\u8981\u7d50\u679c\u3002(\u65b9\u6846\u70ba\u6700\u5408\u9069\u4ee3\u8868\u8a72\u8a5e\u7d44\u7684\u8a5e\u5f59) \u5728\u8868\u4e2d\u4ea6\u5c07\u4f7f\u7528\u7b2c\u56db\u968e\u91cb\u7fa9\u8a9e\u7fa9\u95dc\uf997\u503c\uff0c\u4ee5\u9078\u51fa\u7684\u6700\u5408\u9069\u4ee3\u8868\u8a72\u8a5e\u7d44\u8a5e\u5f59\u4e26\u4ee5\u65b9\u6846 51 \u6a19\u793a\uff0c\u5f9e\u800c\u53ef\u4ee5\u6bd4\u8f03\u5728\u539f\u59cb\u300a\u8a5e\uf9f4\u300b\u7de8\u6392\u65b9\u5f0f\u4e0b\uff0c\u540c\u7fa9\u8a5e\u7fa4\u7fa4\u9996\u8207\u6700\u9069\u5408\u4ee3\u8868\u8a72\u8a5e\u7d44\u8a5e \u5f59\u4e4b\u9593\u8868\u9054\u8a72\u8fad\u7fa4\u7684\u7fa9\u6db5\u3002\u5982 Aa01A04=\u4e2d\uff0c\u7fa4\u9996\u8a5e\u5f59\u70ba\"\u4eba\u624b\uff02(\u6709\"\u4ed6\u4eba\u7684\u624b\u3002\u8fa6\u4e8b \u7684\u4eba\u3002\uff02\uf978\u91cb\u7fa9)\u8207\u6700\u9069\u5408\u4ee3\u8868\u8a5e\u5f59\"\u4eba\u53e3\uff02(\u6709\"\u4eba\u3002\u5bb6\u65cf\u6216\u5bb6\u4e2d\u7684\u4eba\uf969\u3002\u4eba\u7684\u5634\u5df4\u3002 \u6307\u8a00\u8a9e\u8b70\uf941\u3002\u4e00\u5b9a\u6642\u9593\u5167\u4e00\u5730\u5340\u5177\u6709\u6236\u7c4d\u8eab\u5206\u7684\u5168\u90e8\u5c45\u6c11\u3002\uff02\u4e94\u91cb\u7fa9)\uff1bAa01A07=\u4e2d\uff0c \u7fa4\u9996\u8a5e\u5f59\u70ba\"\u8005\uff02(\u6709\"\u4eba\u6216\u4e8b\u7269\u7684\u4ee3\u7a31\u3002\u6307\u793a\u5f62\u5bb9\u8a5e\u3002\u7528\u65bc\uf906\u4e2d\uff0c\u8868\u793a\u505c\u9813\u3002\u7528\u65bc\uf906\u672b\uff0c \u8868\u793a\u8a9e\u6c23\u7d50\u675f\u3002\u8868\u6bd4\u64ec\u3002\uff02\uf9d1\u91cb\u7fa9)\u8207\u6700\u9069\u5408\u4ee3\u8868\u8a5e\u5f59\"\u5320\uff02(\u6709\"\u6cdb\u7a31\u5404\u7a2e\u6280\u8853\u5de5\u4eba\u3002 \u5c0a\u7a31\u5728\u67d0\u65b9\u9762\u6709\u7279\u6b8a\u9020\u8a63\u7684\u4eba\u3002\u6280\u85dd\uf9b3\u5de7\u3001\u69cb\u601d\u5de7\u5999\u3002\uff02\u4e09\u91cb\u7fa9)\u3002 \u4e4b\u4e2d\u51fa\u73fe\u8a5e\u983b\u70ba 10185\uff0c\u4e14\u5f97\u5230\u76f8\u4f3c\u8a5e\u5f59\u5171 60 \u500b\u3002\u63a5\u8457\u6211\u5011\u4f7f\u7528\u76f8\u540c\u7684\u7dad\u57fa\u767e\u79d1\u7684\u7e41\u7c21 \u5206\u6b67\u8a5e\u8868\u9032\ufa08\u7e41\u7c21\u8f49\u63db\uff0c\u5c07\u53d6\u5f97\u7684\u7c21\u9ad4\u8a5e\u5f59\u8f49\u63db\u6210\u7e41\u9ad4\u8a5e\u5f59\u5f8c\uff0c\u4f7f\u7528\u300a\u570b\u8a9e\u8fad\u5178\u300b\u9032\ufa08 \u91cb\u7fa9\uff0c\u4e26\u4e00\u4e00\u8207\"\u62db\u724c\uff02\u8a08\u7b97\u7b2c\u56db\u968e\u5c64\u91cb\u7fa9\u8a9e\u7fa9\u95dc\uf997\u503c\uff0c\u5340\u5225 Sketch Engine \u6240\u5f97\u5230\u7684\u76f8 \u4f3c\u8a5e\u5f59\u8207\u672c\u7814\u7a76\u4e2d\u6240\u6307\u7684\u91cb\u7fa9\u8a9e\u7fa9\u76f8\u95dc\u4e4b\u9593\u7684\u5dee\uf962(\u7d50\u679c\ufa0a\u4e0b\u8868 8)\u3002 \u8868 8. Sketch Engine \u8207\u91cb\u7fa9\u95dc\uf997\u8a08\u7b97\u7d50\u679c\u6bd4\u8f03 (\u90e8\u5206\u522a\u9664) Sketch Lemma Sketch Scores Sketch Freq. SRD-Scores SRD-\u5171\u6709\u8fad\u5178\u91cb\u7fa9\u5b57\u51fa\u73fe\u6bd4\uf961 Top 10 \u5ee3\u544a\u724c 0.15 4839 0 \u6a19\u8a9e 0.15 19510 0.43 \u5ba3\u50b3 \u5ba3\u5e03 \u5ee3\u544a \u5ba3\u63da \uf96f\u660e \u8b1b\u89e3 \u50b3\u9054 \u5927\u773e \u516c\u5e03 \u6587\u5b57 \u6a6b\u5e45 0.12 15051 0.35 \u7e6a\u756b \u540a\u639b \u61f8\u639b \u66f8\u6cd5 \u5b57\u756b \u7b46 \u4f5c\u54c1 \u6587\u5b57 \u85dd \u8853 \u7b46\u756b \u559c\u6b61 0.12 247564 0.3 \u9ad8\u8208 \u4e8b\u60c5 \u6c7a\u5b9a \u6839\u64da \u6b61\u559c \u5feb\uf914 \u8208\u81f4 \u8208\u8da3 \u6109\u6085 \u6109\u5feb \u724c\u5b50 0.12 18442 0.79 \u8abf\u5b50 \u97f3 \u724c\u5b50 \u5927\u8abf \uf96f\u8a71 \u7a0b\ufa01 \u9ad8\u4f4e \u8868\u793a \u97f3 \u8abf \u6642 \u53ef\u53e3 0.12 6800 0.57\u7f8e \u6709 \u4eba \u4f7f \u597d \u91ce \u8868\u793a \u8b8a \u4e8b\u7269 \u597d\u770b \u689d\u5e45 0.11 5848 0.66\u7d44 \u6307 \u55ae\u4f4d \u7d44\u7e54 \u7269 \u6a5f\u95dc \u4eba\u4e8b \u4e8b\u7269 \u4eba \u4e2d \u559c\u611b 0.11 47276 0.08 \u611b\u597d \u559c\u6b61 \u9ad8\u8208 \u559c\u597d \u559c\u611b \u5feb\uf914 \u81ea\u611b \u4e8b\u60c5 \u4e8b\u7269 \u6839\u64da \u6ae5\u7a97 0.10 7917 0.62\u4e8b\u7269 \u7269 \u8005 \u4eba \u5a92\u4ecb \u6307 \u4e2d \u4e00\ufa00 \u73fe\u8c61 \u5404 \u540d\u7247 0.10 18497 0.3 \u96fb\u5f71 \u5f71\u7247 \u4eba \u81a0\u7247 \u540d\u8072 \u4f9b \u6d3b\u52d5 \u5e95\u7248 \u97ff\uf977 \u4eba\u7269 \u6a19\u724c 0.10 5443 0 \u6d77\u5831 0.10 15672 0.62\u6307 \u5927\u5bb6 \u4eba \u4e00 \u7a31\u70ba \u6709 \u500b \u4e2d \u4e0a \u7a2e \u5ee3\u544a 0.10 212258 0.67\u4e8b\u7269 \u6709 \u4eba \u4e00 \u4e0a \u89c0\uf9a3 \u7cbe\u795e \u8868\u793a \u6307 \u610f\uf9fc \u9580\u9762 0.10 5216 0.65\u4eba \u9ad4\u9762 \u9580\u9762 \u500b\u4eba \u6307 \u8eab\u5206 \u6709 \u9762\u5b50 \u4e0a \u4e00 \u9910\u9928 0.09 13639 0.73\u4eba \u4f9b \u8005 \u6709 \u53d7 \uf96f \u5225\u4eba \u8868\u793a \u4ed6\u4eba \u667a\u6167 \u57fa\u65bc\u5b57\u5178\u91cb\u7fa9\u95dc\uf997\u65b9\u6cd5\u7684\u540c\u7fa9\u8a5e\u6982\uf9a3\u64f7\u53d6: 53 \u4ee5\u300a\u540c\u7fa9\u8a5e\u8a5e\uf9f4(\u64f4\u5c55\u7248)\u300b\u70ba\uf9b5 \u5c0d\uf997 0.07 6769 0.62\uf978 \u55ae\u4f4d \u8a08\u7b97 \u4e00 \u4eba \u500b \uf97e\u8a5e \u7269 \u7b49\u65bc \u516c\u65a4 \u7368\u7279 0.07 135938 0.07 \u7368\u6709 \u5360\u6709 \u7279\u6b8a \u50c5\u6709 \u6307 \u7279\u5225 \u610f\u601d \uf967\u540c\u65bc \u6240\u6709 \u5360\u64da \u6b61\u8fce 0.07 196262 0.62\u4ed6 \u6307 \u4eba \u65b9\u9762 \u500b \u7db4 \u9019 \u5225\u7684 \u7b2c\u4e09\u4eba \u4e2d \uf977\u9ede 0.07 64220 0 \u4fc3\u92b7 0.07 39704 0.67\u6709 \u4eba \u5b58 \u4f7f \u4e8b\u7269 \u8868\u793a \u67d0 \u5404 \u610f\uf9fc \uf9a8 \u7cbe\u7dfb 0.07 23820 0.28 \u7d30\u5bc6 \u6771\u897f \u4ed4\u7d30 \u6587\u660e \u7cbe\u7dfb \u5468\u8a73 \u5c0f\u53f2 \u7d05\uf94c\u5922 \u7cbe\u6df1 \u6771 Sketch \u8d99\u9022\u6bc5\u3001\u937e\u66c9\u82b3 \u724c\u533e 0.21 5421 0.79 \u6709 \u5b57 \u8868\u793a \u984c \u524d \u55ae\u4f4d \u63d0 \u8a18\uf93f \u4eba \u984c\u76ee \u5f62\u8c61</td></tr><tr><td/><td/><td/><td colspan=\"2\">~~~\u904e\u9577\u522a\u9664~~~</td></tr><tr><td>\u5b57\u865f</td><td>0.07</td><td>13197</td><td>0.93</td><td>\u4eba \u724c\u5b50 \u62db\u724c \u5546\u5e97 \u540d\u7a31 \u6a19\uf9fc \u5b57\u865f \u737b \u6709 \u865f\u78bc</td></tr><tr><td>\u51fa\u540d</td><td>0.07</td><td>10320</td><td>0.38</td><td>\u540d \u5177\u540d \u51fa\u540d \u51fa\u9762 \u4eba \u55ae\u4f4d \u7c3d\u540d \u8a08\u7b97 \u7a31\u865f \u7f72\u540d</td></tr><tr><td/><td/><td/><td colspan=\"2\">~~~\u904e\u9577\u522a\u9664~~~</td></tr><tr><td>\u505a</td><td colspan=\"4\">)\u5de5\u5177\u958b\u767c\u8a08\u7b97\u5de5\u5177\uff0c\u9032\ufa08\u540c\u7fa9\u8a5e\u7d44\u7684\u591a\u968e\u5c64\u91cb\u7fa9\u95dc\uf997\u8a08\u7b97\uff0c\u8207 0.07 1650329 0.68\u524d \u505a \u4eba \u67d0 \u6211 \u9032\ufa08 \u4e8b\u7269 \u88fd\u9020 \u81ea\u7a31 \u8a5e</td></tr><tr><td colspan=\"5\">\u8fad\u7d44\u4e4b\u9593\u591a\u91cb\u8a5e\u5f59\u4e4b\u9593\u7684\u4ea4\u4e92\u6bd4\u8f03\uff0c\u7e3d\u8655\uf9e4\u6642\u9593\u5927\u7d04 32 \u5c0f\u6642\uff0c\u7e3d\u8a08\u8655\uf9e4\u540c\u7fa9\u8a5e\uf9d0 8311 \u7279\u8272 0.07 566599 0.66\u5730\u65b9 \u4e8b\u7269 \u7269 \u7576\u5730 \u4eba \u67d0 \u5ba2\u89c0 \u4e00\ufa00 \u6307 \u5b58\u5728</td></tr><tr><td colspan=\"5\">\uf9d0\uff0c\u7d50\u679c\u6587\u4ef6\u7d04\u70ba 2.2MB\uff0c\u5167\u5bb9\uf99c\u65bc\u4e0b\u8868 7\u3002 \u719f\u6089 0.07 141431 \u77e5\u9053 \u660e\u767d \u8a73\u7d30 \u9053\uf9e4 \u4ed4\u7d30 \u7d30\u7bc0 \u77ad\u89e3 \u660e\u66c9 0.22 \u8a73\u60c5 \u719f\u6089</td></tr></table>",
                "type_str": "table",
                "html": null
            }
        }
    }
}