spaCy/website/usage/_spacy-101/_tokenization.jade

61 lines
2.6 KiB
Plaintext
Raw Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

//- 💫 DOCS > USAGE > SPACY 101 > TOKENIZATION
p
| During processing, spaCy first #[strong tokenizes] the text, i.e.
| segments it into words, punctuation and so on. This is done by applying
| rules specific to each language. For example, punctuation at the end of a
| sentence should be split off whereas "U.K." should remain one token.
| Each #[code Doc] consists of individual tokens, and we can simply iterate
| over them:
+code.
for token in doc:
print(token.text)
+table([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]).u-text-center
+row
for cell in ["Apple", "is", "looking", "at", "buying", "U.K.", "startup", "for", "$", "1", "billion"]
+cell=cell
p
| First, the raw text is split on whitespace characters, similar to
| #[code text.split(' ')]. Then, the tokenizer processes the text from
| left to right. On each substring, it performs two checks:
+list("numbers")
+item
| #[strong Does the substring match a tokenizer exception rule?] For
| example, "don't" does not contain whitespace, but should be split
| into two tokens, "do" and "n't", while "U.K." should always
| remain one token.
+item
| #[strong Can a prefix, suffix or infix be split off?] For example
| punctuation like commas, periods, hyphens or quotes.
p
| If there's a match, the rule is applied and the tokenizer continues its
| loop, starting with the newly split substrings. This way, spaCy can split
| #[strong complex, nested tokens] like combinations of abbreviations and
| multiple punctuation marks.
+aside
| #[strong Tokenizer exception:] Special-case rule to split a string into
| several tokens or prevent a token from being split when punctuation rules
| are applied.#[br]
| #[strong Prefix:] Character(s) at the beginning, e.g.
| #[code $], #[code (], #[code “], #[code ¿].#[br]
| #[strong Suffix:] Character(s) at the end, e.g.
| #[code km], #[code )], #[code ”], #[code !].#[br]
| #[strong Infix:] Character(s) in between, e.g.
| #[code -], #[code --], #[code /], #[code …].#[br]
+graphic("/assets/img/tokenization.svg")
include ../../assets/img/tokenization.svg
p
| While punctuation rules are usually pretty general, tokenizer exceptions
| strongly depend on the specifics of the individual language. This is
| why each #[+a("/models/#languages") available language] has its
| own subclass like #[code English] or #[code German], that loads in lists
| of hard-coded data and exception rules.