mirror of https://github.com/explosion/spaCy.git
24 lines
933 B
Python
24 lines
933 B
Python
# coding: utf8
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from __future__ import unicode_literals
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# These exceptions are used to add NORM values based on a token's ORTH value.
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# Individual languages can also add their own exceptions and overwrite them -
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# for example, British vs. American spelling in English.
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# Norms are only set if no alternative is provided in the tokenizer exceptions.
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# Note that this does not change any other token attributes. Its main purpose
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# is to normalise the word representations so that equivalent tokens receive
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# similar representations. For example: $ and € are very different, but they're
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# both currency symbols. By normalising currency symbols to $, all symbols are
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# seen as similar, no matter how common they are in the training data.
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NORM_EXCEPTIONS = {
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"R$": "$", # Real
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"r$": "$", # Real
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"Cz$": "$", # Cruzado
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"cz$": "$", # Cruzado
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"NCz$": "$", # Cruzado Novo
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"ncz$": "$" # Cruzado Novo
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}
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