比方说，word2vec模型是我训练过的 word2vec 模型。当词汇表之外的单词（oov_word）发生时，我计算一个向量vec using 计算向量（oov_word）方法。现在，我想添加/追加oov_word及其对应的向量vec到我已经训练好的模型word2vec模型.
我已经检查过以下链接。但他们没有回答我的问题。
组合/添加来自不同 word2vec 模型的向量 https://stackoverflow.com/questions/54243797/combining-adding-vectors-from-different-word2vec-models
https://datascience.stackexchange.com/questions/49431/how-to-train-an-existing-word2vec-gensim-model-on-new-words https://datascience.stackexchange.com/questions/49431/how-to-train-an-existing-word2vec-gensim-model-on-new-words
https://radimrehurek.com/gensim/models/keyedvectors.html#gensim.models.keyedvectors.BaseKeyedVectors.add https://radimrehurek.com/gensim/models/keyedvectors.html#gensim.models.keyedvectors.BaseKeyedVectors.add
from gensim.models.keyedvectors import WordEmbeddingsKeyedVectors
vector_length = 100
kv = WordEmbeddingsKeyedVectors(vector_length)
# wordList - list of words
# vectorList - list of the vector corresponding to the words
kv.add(wordList, vectorList)
kv.most_similar(word1) # gives the list of words similar to word1
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