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When ngram_vocab=True is used, single words seem to be ignored in the vocabulary. In previous versions, this behavior did not occur, so I wanted to check if this change was intentional or an unintended regression.
When
ngram_vocab=True
is used, single words seem to be ignored in the vocabulary. In previous versions, this behavior did not occur, so I wanted to check if this change was intentional or an unintended regression.Here’s the relevant line in the code:
Top2Vec/top2vec/top2vec.py
Line 890 in 2435731
Suggested fix:
Could merging the phrases with the previously built vocabulary resolve the issue, or is this the expected behavior in the latest version?
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