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richardpaulhudson 2022-12-09 09:51:46 +01:00
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spacy/ml/models/lemmatizer.py
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@ -22,8 +22,8 @@ def build_lemmatizer_model(
token input: this is used in the context of the lemmatizer to determine when to convert inputs
to lowercase before processing them with the edit trees. A single normalized linear layer
is placed between the token-to-vector component and the sigmoid output neuron, as this has
been found to produce slightly better results than a direct connection. A possible intuition
explaining this is that it reduces the interference between the two learning goals,
been found to produce slightly better results than a direct connection. A possible intuition
explaining this is that it reduces the interference between the two learning goals,
which are linked but nonetheless distinct.
tok2vec (Model[List[Doc], List[Floats2d]]): The token-to-vector subnetwork.