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我在哪里可以下载预训练的 word2vec 地图？

[英]where can i download a pretrained word2vec map?

原文 2020-01-04 13:10:19 6 1 python/ nlp/ word2vec/ word-embedding

I have been learning about NLP models and came across word embedding, and saw the examples in which it is possible to see relations between words by calculating their dot products and such.我一直在学习 NLP 模型并遇到了词嵌入，并看到了可以通过计算单词的点积等来查看单词之间关系的示例。

What I am looking for is just a dictionary, mapping words to their representative vectors, so I can play around with it.我正在寻找的只是一本字典，将单词映射到它们的代表向量，这样我就可以使用它了。 I know that I can build a model and train it and create my own map but I just want the already trained map as a python variable.我知道我可以建立一个模型并训练它并创建我自己的地图，但我只想要已经训练好的地图作为 python 变量。

1 个解决方案

You can try out google's word2vec model trained with about 100 billion words from various news articles.你可以试试用来自各种新闻文章的大约 1000 亿个单词训练的 google 的word2vec模型。

An interesting fact about word vectors, w2v(king) - w2v(man) + w2v(woman) = w2v(queen)关于词向量的一个有趣事实， w2v(king) - w2v(man) + w2v(woman) = w2v(queen)

如何更快地将 Word2Vec 预训练的 model 加载到 Gensim 中？ - How can a Word2Vec pretrained model be loaded in Gensim faster?

我如何在 google colab 中解压缩预训练的 word2vec？ - How does i unzip pretrained word2vec in google colab?

预训练 (Word2Vec) 嵌入神经网络 - Pretrained (Word2Vec) embedding in Neural Networks

来自预训练的 word2vec 向量的上下文词嵌入 - Contextual word embeddings from pretrained word2vec vectors

为什么我使用 LSTM 和预训练 word2vec 的准确率非常低？ - Why I get a very low accuracy with LSTM and pretrained word2vec?

如何在Tensorflow中使用预训练的Word2Vec模型 - How to use pretrained Word2Vec model in Tensorflow

使用gensim和预训练的word2vec模型管理KeyError - Manage KeyError with gensim and pretrained word2vec model

在keras中使用预训练的gensim Word2vec嵌入 - Using pretrained gensim Word2vec embedding in keras

使用预训练的Word2Vec模型进行情感分析 - Using pretrained Word2Vec model for sentiment analysis

在预训练的 GenSim Word2Vec 中处理新词 - Handling new words in pretrained GenSim Word2Vec

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