{
    "info": {
        "author": "lishouguang",
        "author_email": "lishouguang@meizu.com",
        "bugtrack_url": null,
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        "description": "### \u8bf4\u660e\nmlang\u662f\u4e00\u4e2aNLP\u5904\u7406\u5e73\u53f0\uff0c\u4f7f\u7528\u5b83\u53ef\u4ee5\u5b8c\u6210NLP\u5e38\u89c1\u7684\u4efb\u52a1\u3002\u5b83\u662fmlang server\u7684\u5ba2\u6237\u7aef\u3002\n\n### \u5b89\u88c5\n\n```pip install mlang```\n\n### \u4f7f\u7528\n\n#### \u57fa\u672c\u914d\u7f6e\n```python\nfrom mlang_client import mclient\n\nmclient.SERVER_URL = 'http://mlang.meizu.com'\nmclient.VERSION = 'v1.0\n```\n\n#### \u57fa\u7840\u529f\u80fd\n\n```python\nfrom mlang_client.mclient import MLang\n```\n\n- \u5206\u53e5\n```python\ntxt = '\u9b45\u65cf\u624b\u673a\u4e0d\u9519\u7684\uff0c\u4f60\u89c9\u5f97\u5462\uff1f'\n\nsents = MLang.ssplit(txt)\nprint(sents)\n\nsents = MLang.ssplit(txt, impl='re', pattern='[\u3002]')\nprint(sents)\n\nsents = MLang.ssplit(txt, impl='ltp')\nprint(sents)\n```\n\n- \u5206\u8bcd\n```python\ntxt = '\u9b45\u65cf\u624b\u673a\u4e0d\u9519\u7684\uff0c\u4f60\u89c9\u5f97\u5462\uff1f'\n\ntokens = MLang.tokenize(txt)\nprint(tokens)\n\ntokens = MLang.tokenize(txt, impl='jieba')\nprint(tokens)\n\ntokens = MLang.tokenize(txt, impl='fmm')\nprint(tokens)\n\ntokens = MLang.tokenize(txt, impl='rmm')\nprint(tokens)\n```\n\n- \u8bcd\u6027\u6807\u8bb0\n```python\ntxt = '\u9b45\u65cf\u624b\u673a\u4e0d\u9519\u7684\uff0c\u4f60\u89c9\u5f97\u5462\uff1f'\n\ntokens = MLang.pos(txt)\nprint(tokens)\n\ntokens = MLang.pos(txt, impl='ltp')\nprint(tokens)\n\ntokens = MLang.pos(txt, impl='jieba')\nprint(tokens)\n\ntokens = MLang.pos(txt, impl='jieba', revise=True, norm=True)\nprint(tokens)\n```\n\n- \u547d\u540d\u5b9e\u4f53\u8bc6\u522b\n```python\ntxt = '\u9b45\u65cf\u624b\u673a\u4e0d\u9519\u7684\uff0c\u4f60\u89c9\u5f97\u5462\uff1f'\nxx = MLang.ner(txt)\nprint(xx)\n```\n\n- \u4f9d\u5b58\u53e5\u6cd5\u89e3\u6790\n```python\ntxt = '\u9b45\u65cf\u624b\u673a\u4e0d\u9519\u7684\uff0c\u4f60\u89c9\u5f97\u5462\uff1f'\nrelations = MLang.parse(txt)\nprint(relations)\n```\n\n- \u62fc\u97f3\u8f6c\u6362\n```python\ntxt = '\u9b45\u65cf\u624b\u673a\u4e0d\u9519\u7684\uff0c\u4f60\u89c9\u5f97\u5462\uff1f'\npinyins = MLang.hanzi2pinyin(txt)\nprint(pinyins)\n\npinyins = 'mei zu shou ji bu cuo de , ni jue de ne ?'\nhanzis = MLang.pinyin2hanzi(pinyins)\nprint(hanzis)\n```\n\n- \u7b80\u7e41\u8f6c\u6362\n```python\ntxt = '\u9b45\u65cf\u624b\u673a\u4e0d\u9519\u7684\uff0c\u4f60\u89c9\u5f97\u5462\uff1f'\nresult = MLang.simplified2traditional(txt)\nprint(result)\n\ntxt = '\u9b45\u65cf\u624b\u6a5f\u4e0d\u932f\u7684\uff0c\u4f60\u89ba\u5f97\u5462\uff1f'\nresult = MLang.traditional2simplified(txt)\nprint(result)\n```\n\n#### \u8bed\u6599\u7ba1\u7406\n\u5c06\u672c\u5730\u7684\u8bed\u6599\u6587\u4ef6\u4e0a\u4f20\u5230\u670d\u52a1\u5668\u4e0a\uff0c\u4f7f\u7528\u670d\u52a1\u5668\u4e0a\u7684\u8d44\u6e90\u5bf9\u8bed\u6599\u8fdb\u884c\u5904\u7406\u3002\u670d\u52a1\u5668\u4e0a\u7684\u8bed\u6599\u901a\u8fc7\u8bed\u6599id\u6765\u6807\u8bc6\u3002\n\n```python\nfrom mlang_client.mclient import MCorpus\n```\n\n- \u4e0a\u4f20\u8bed\u6599\n```python\nfile = 'pinglun.min.txt'\nresult = MCorpus.upload('pinglun', file)\nprint(result)\n```\n\n- \u5217\u51fa\u6240\u6709\u8bed\u6599\n```python\ncorpus_list = MCorpus.list()\nprint(corpus_list)\n```\n\n- \u5355\u4e2a\u8bed\u6599\u4fe1\u606f\n```python\ncorpus = MCorpus.info('c1')\nprint(corpus)\n```\n\n- \u5220\u9664\u8bed\u6599\n```python\nMCorpus.remove('c')\n```\n\n- \u4e0b\u8f7d\u8bed\u6599\n```python\nMCorpus.download('pinglun', 'pinglun.c.txt')\n```\n\n#### \u8bcd\u8868\u7ba1\u7406\n\u8bcd\u8868\u5c31\u662f\u4e00\u4e2a\u5305\u542b\u5f88\u591a\u8bcd\u7684\u6587\u4ef6\uff0c\u6bcf\u4e2a\u8bcd\u5360\u4e00\u884c\u3002\n\u8bcd\u8868\u4fdd\u5b58\u5728\u670d\u52a1\u5668\u4e0a\uff0c\u901a\u8fc7\u8bcd\u8868id\u6807\u8bc6\n\u8bcd\u8868\u53ef\u5728\u672c\u5730\u6784\u5efa\u7136\u540e\u4e0a\u4f20\u5230\u670d\u52a1\u5668\uff0c\u4e5f\u53ef\u4ee5\u76f4\u63a5\u901a\u8fc7\u8bed\u6599\u5728\u670d\u52a1\u5668\u4e0a\u8fdb\u884c\u6784\u5efa\u3002\n\n```python\nfrom mlang_client.mclient import MVocab\n```\n\n- \u5217\u51fa\u6240\u6709\u8bcd\u8868\n```python\nvocab_list = MVocab.list()\nprint(vocab_list)\n```\n\n- \u83b7\u53d6\u5355\u8bcd\u8bcd\u8868\u4fe1\u606f\n```python\ninfo = MVocab.info('v1')\nprint(info)\n```\n\n- \u4e0a\u4f20\u8bcd\u8868\n```python\nMVocab.upload('xv1', 'mobile.vocab.txt')\n```\n\n- \u5220\u9664\u8bcd\u8868\n```python\nMVocab.remove('xv1')\n```\n\n- \u4e0b\u8f7d\u8bcd\u8868\n```python\nMVocab.download('a1', 'a1.txt')\n```\n\n- \u6784\u5efa\u8bcd\u8868\n```python\nvocabid = 'xv1'\nMVocab.build(vocabid, 'a1')\nvocab = MVocab.get(vocabid)\nprint(vocab)\nprint(vocab.words())\n```\n\n#### \u60c5\u611f\u5206\u6790\n\u6784\u5efa\u60c5\u611f\u8bcd\u5e93\u3001\u5206\u6790\u4e00\u6bb5\u6587\u672c\u7684\u60c5\u611f/\u89c2\u70b9\n\n```python\nfrom mlang_client.mclient import MSentimentAnalyser\n```\n\n- \u8ba1\u7b97\u60c5\u611f\u5206\u503c\n```python\ntxt = '\u9b45\u65cf\u624b\u673a\u4e0d\u9519\u7684\uff0c\u4f60\u89c9\u5f97\u5462\uff1f'\nscore = MSentimentAnalyser.score(txt)\nprint(score)\n\nis_subject = MSentimentAnalyser.is_subject(txt)\nprint(is_subject)\n```\n\n- \u63d0\u53d6\u8bc4\u4ef7\u5bf9\u8c61/\u60c5\u611f\u8bcd\n```python\nterms = MSentimentAnalyser.extract_terms('pinglun', s_seed=['\u6f02\u4eae', '\u4e0d\u9519'])\nprint(terms)\n```\n\n- \u63d0\u53d6\u8bc4\u4ef7\u89c2\u70b9\n```python\ntxt = '\u9b45\u65cf\u624b\u673a\u4e0d\u9519\u7684\uff0c\u4f60\u89c9\u5f97\u5462\uff1f'\nopinions = MSentimentAnalyser.extract_opinions(txt, target_vocab_id).data\nfor opinion in opinions:\n    print(opinion['tmodifiers'], opinion['target']['token'], opinion['smodifiers'], opinion['sentiment']['token'], opinion['orientation'])\n\n```\n\n#### \u6587\u672c/\u5355\u8bcd\u8868\u5f81\n\u5c06\u6587\u672c/\u5355\u8bcd\u4ee5\u5411\u91cf\u7684\u5f62\u5f0f\u8868\u793a\n\n```python\nfrom mlang.config import DEFAULT_W2V\nfrom mlang.config import DEFAULT_D2V\nfrom mlang.config import DEFAULT_VOCAB\nfrom mlang_client.mclient import MWordRepresentation\nfrom mlang_client.mclient import MTextRepresentation\n```\n\n- \u5355\u8bcd\u8868\u5f81\n```python\nvec = MWordRepresentation.represent('\u624b\u673a')\nprint(vec)\n\nvec = MWordRepresentation.represent('\u624b\u673a', impl='w2v', w2vid=DEFAULT_W2V)\nprint(vec)\n\nvec = MWordRepresentation.represent('\u624b\u673a', impl='onehot', vocabid=DEFAULT_VOCAB)\nprint(vec)\n```\n\n- \u5355\u8bcd\u76f8\u4f3c\u5ea6\n```python\nsim = MWordRepresentation.similarity('\u9b45\u65cf', '\u534e\u4e3a')\nprint(sim)\nsim = MWordRepresentation.similarity('\u9b45\u65cf', '\u534e\u4e3a', w2vid=DEFAULT_W2V)\nprint(sim)\n```\n\n- \u6587\u672c\u8868\u5f81\n```python\ntxt = '\u9b45\u65cf\u624b\u673a\u4e0d\u9519\u7684\uff0c\u4f60\u89c9\u5f97\u5462\uff1f'\n\nvec = MTextRepresentation.represent(txt)\nprint('default:', vec)\n\nvec = MTextRepresentation.represent(txt, impl='w2v', w2vid=DEFAULT_W2V)\nprint('w2v:', vec)\n\nvec = MTextRepresentation.represent(txt, impl='d2v', d2vid=DEFAULT_D2V)\nprint('d2v:', vec)\n\nvec = MTextRepresentation.represent(txt, impl='vocab', vocabid=DEFAULT_VOCAB)\nprint('vocab:', vec)\n```\n\n- \u6587\u672c\u76f8\u4f3c\u5ea6\n```python\ntxt1 = '\u9b45\u65cf\u624b\u673a\u4e0d\u9519\u7684\uff0c\u4f60\u89c9\u5f97\u5462\uff1f'\ntxt2 = '\u534e\u4e3a\u7684\u624b\u673a\u4e00\u822c\u3002'\n\nsim = MTextRepresentation.similarity(txt1, txt2)\nprint('default:', sim)\n\nsim = MTextRepresentation.similarity(txt1, txt2, impl='w2v', w2vid=DEFAULT_W2V)\nprint('w2v:', sim)\n\nsim = MTextRepresentation.similarity(txt1, txt2, impl='d2v', d2vid=DEFAULT_D2V)\nprint('d2v:', sim)\n\nsim = MTextRepresentation.similarity(txt1, txt2, impl='vocab', vocabid=DEFAULT_VOCAB)\nprint('vocab:', sim)\n```\n\n#### \u6587\u672c/\u5355\u8bcd\u805a\u7c7b\n\n```python\nfrom mlang_client.mclient import MWordCluster\nfrom mlang_client.mclient import MTextCluster\n```\n\n- \u5355\u8bcd\u805a\u7c7b\n```python\nresult = MWordCluster.fit('xv1')\nprint(result)\n```\n\n- \u6587\u672c\u805a\u7c7b\n```python\nr = MTextCluster.fit('cc1')\nprint(r)\n\nr = MTextCluster.fit('cc1', represent='d2v')\nprint(r)\n\nr = MTextCluster.fit('cc1', represent='vocab')\nprint(r)\n\nr = MTextCluster.fit('cc1', represent='w2v', n_clusters=3)\nprint(r)\n```\n\n#### \u8bed\u8a00\u6a21\u578b\n\u8bad\u7ec3\u597d\u7684\u8bed\u8a00\u6a21\u578b\u4fdd\u5b58\u5728\u670d\u52a1\u5668\u4e0a\uff0c\u4f7f\u7528id\u6765\u6807\u8bc6\n\n```python\nfrom mlang_client.mclient import MLM\n```\n\n- \u5217\u51fa\u6240\u6709\u7684\u8bed\u8a00\u6a21\u578b\n```python\nlms = MLM.list()\nprint(lms)\n```\n\n- \u83b7\u5f97\u6307\u5b9a\u8bed\u8a00\u6a21\u578b\u7684\u4fe1\u606f\n```python\ninfo = MLM.info('lm1')\nprint(info)\n```\n\n- \u9884\u6d4b\u53e5\u5b50\u6982\u7387\n```python\ntxt = '\u9b45\u65cf\u624b\u673a\u4e0d\u9519\u7684\uff0c\u4f60\u89c9\u5f97\u5462\uff1f'\nprob = MLM.prob(txt)\nprint(prob)\n\ntxt = '\u9b45\u65cf\u624b\u673a\u4e0d\u9519\u7684\uff0c\u4f60\u89c9\u5462\u5f97\uff1f'\nprob = MLM.prob(txt)\nprint(prob)\n```\n\n- \u8bad\u7ec3\u8bed\u8a00\u6a21\u578b\n```python\nMLM.build('lm1', 'a1')\n```\n\n- \u4e0b\u8f7d\u8bed\u8a00\u6a21\u578b\u6587\u4ef6\n```python\nMLM.download('lm1.arpa', 'lm1.arpa')\n```\n\n- \u5220\u9664\u8bed\u8a00\u6a21\u578b\n```python\nMLM.remove('lm1')\n```\n\n#### Word2vec\u6a21\u578b\n\n```python\nfrom mlang_client.mclient import MWord2Vec\n```\n\n- \u5217\u51fa\u6240\u6709\u6a21\u578b\n```python\nr = MWord2Vec.list()\nprint(r)\n```\n\n- \u83b7\u5f97\u6307\u5b9a\u6a21\u578b\u7684\u4fe1\u606f\n```python\nr = MWord2Vec.info('w1')\nprint(r)\n```\n\n- \u4e0b\u8f7d\u6a21\u578b\u6587\u4ef6\n```python\nMWord2Vec.download('w1', 'w1.w2v.model')\n```\n\n- \u6784\u5efa\u6a21\u578b\n```python\nr = MWord2Vec.build('w1', 'a1', epochs=20)\nprint(r)\n```\n\n- \u5220\u9664\u6a21\u578b\n```python\nMWord2Vec.remove('w1')\n```\n\n\n#### Doc2vec\u6a21\u578b\n\n```python\nfrom mlang_client.mclient import MDoc2Vec\n```\n\n- \u5217\u51fa\u6240\u6709\u6a21\u578b\n```python\nr = MDoc2Vec.list()\nprint(r)\n```\n\n- \u83b7\u5f97\u6307\u5b9a\u6a21\u578b\u7684\u4fe1\u606f\n```python\nr = MDoc2Vec.info('d2v1')\nprint(r)\n```\n\n- \u5220\u9664\u6a21\u578b\n```python\nr = MDoc2Vec.remove('d2v1')\nprint(r)\n```\n\n- \u4e0b\u8f7d\u6a21\u578b\u6587\u4ef6\n```python\nMDoc2Vec.download('d2v1', 'd1.d2v.model')\n```\n\n- \u6784\u5efa\u6a21\u578b\n```python\nr = MDoc2Vec.build('d2v1', 'a1')\nprint(r)\n```\n\n\n#### Seq2Seq\u6a21\u578b\n\n```python\nfrom mlang_client.mclient import MSeq2Seq\n```\n\n- \u5217\u51fa\u6240\u6709\u6a21\u578b\n```python\nr = MSeq2Seq.list()\nprint(r)\n```\n\n- \u83b7\u5f97\u6307\u5b9a\u6a21\u578b\u7684\u4fe1\u606f\n```python\nr = MSeq2Seq.info('s2s1')\nprint(r)\n```\n\n- \u5220\u9664\u6307\u5b9a\u6a21\u578b\n```python\nr = MSeq2Seq.remove('s2s2')\nprint(r)\n```\n\n- \u4e0b\u8f7d\u6a21\u578b\u6587\u4ef6\n```python\nMSeq2Seq.download('s2s2', 's2s.model')\n```\n\n- \u6784\u5efa\u6a21\u578b\n```python\nMSeq2Seq.build('s2s2', 'seq_c1')\n```\n\n- \u9884\u6d4b\u5e8f\u5217\n```python\ntxt = '\u9b45\u65cf \u7684 \u624b\u673a \u771f \u4e0d\u9519 \u8fd0\u884c \u5f88 \u6d41\u7545 \u5916\u89c2 \u5f88 \u6f02\u4eae'\nresult = MSeq2Seq.predict('sbd', txt).data\n\ntokens = txt.split()\nseqs = result.split()\nfor i, token in enumerate(tokens):\n    print(token, seqs[i])\n\n```\n\n#### License\n\nCopyright (c) 2017-2018 lishouguang.\nLicensed under the [MIT 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