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"优先":[-5.4119444e-01 8.9504033e-01 -8.8243032e-01 5.3190738e-01
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4.5222524e-01 3.1564084e-01 -6.8977201e-01 -2.8300184e-01
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1.2093543e+00 8.0956542e-01 -3.7246260e-01 -5.3340948e-01
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8.2160246e-01 8.6405110e-01 4.9131820e-01 4.4526055e-0
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中英文语料训练CBOW模型获得词向量(pytorch实现)
共13个文件
txt:6个
xml:4个
gitignore:1个
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中英文语料训练CBOW模型获得词向量(pytorch实现) 自然语言处理第二次作业: data文件夹中存储语料(中文语料以及英文语料由老师提供,另一份为中文停用词语料) output文件夹中存储输出的词向量文件 script文件夹中为CBOW的脚本,同时处理中文语料与英文语料 运行步骤:在脚本中确定训练中文或者是英语后,直接运行即可 2
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中英文语料训练CBOW模型获得词向量(pytorch实现) 自然语言处理第二次作业: data文件夹中存储语料(中文语料以及英文语料由老师提供,另一份为中文停用词语料) output文件夹中存储输出的词向量文件 script文件夹中为CBOW的脚本,同时处理中文语料与英文语料 运行步骤:在脚本中确定训练中文或者是英语后,直接运行即可 2.zip (13个子文件)
word2vec
data
zh.txt 846KB
en.txt 1.04MB
stopwords.txt 5KB
output
zh_wordvec.txt 15.69MB
en_wordvec.txt 14.8MB
script
CBOW_ENandZH.py 9KB
.idea
word2vec.iml 495B
workspace.xml 9KB
misc.xml 198B
inspectionProfiles
profiles_settings.xml 174B
modules.xml 275B
.gitignore 50B
a.txt 18B
共 13 条
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