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If this language model is trained on one corpus (e.g. gutenberg) and applied to another (e.g. brown), it is very likely to encounter out of vocabulary words or unseen ngrams. And then this happens:
TypeError: unsupported operand type(s) for +=: 'float' and 'NoneType'
The text was updated successfully, but these errors were encountered:
If this language model is trained on one corpus (e.g. gutenberg) and applied to another (e.g. brown), it is very likely to encounter out of vocabulary words or unseen ngrams. And then this happens:
The text was updated successfully, but these errors were encountered: