You trained a CBOW Word2Vec model but get an error: KeyError: 'unknown_word' when querying model.wv['unknown_word']. What is the most likely cause and fix?
medium📝 Debug Q14 of 15
NLP - Word Embeddings
You trained a CBOW Word2Vec model but get an error: KeyError: 'unknown_word' when querying model.wv['unknown_word']. What is the most likely cause and fix?
AThe word was not in training data; retrain with larger corpus or check vocabulary before querying.
BThe model was trained with Skip-gram; switch to CBOW to fix.
CThe vector size is too small; increase vector_size parameter.
DThe window size is too large; reduce window parameter.
Step-by-Step Solution
Solution:
Step 1: Understand KeyError cause
KeyError occurs when the queried word is not in the model's vocabulary.
Step 2: Fix by ensuring word presence
Either add the word to training data or check if word exists before querying to avoid error.
Final Answer:
The word was not in training data; retrain with larger corpus or check vocabulary before querying. -> Option A
Quick Check:
KeyError means word missing in vocabulary [OK]
Quick Trick:Check if word is in vocabulary before querying model vectors [OK]
Common Mistakes:
MISTAKES
Assuming model type (CBOW/Skip-gram) causes KeyError
Changing vector or window size to fix missing word error
Ignoring vocabulary check before querying
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