custom tokenizer
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| doc = nlp("gimme that book") | |
| print([w.text for w in doc]) | |
| from spacy.symbols import ORTH | |
| special_case = [{ORTH: "gim"}, {ORTH: "me"}] | |
| nlp.tokenizer.add_special_case("gimme", special_case) | |
| print([w.text for w in doc]) |
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