spaCy/website/usage/linguistic-features.jade

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2017-10-03 15:26:20 +03:00
//- 💫 DOCS > USAGE > LINGUISTIC FEATURES
include ../_includes/_mixins
p
| Processing raw text intelligently is difficult: most words are rare, and
| it's common for words that look completely different to mean almost the
| same thing. The same words in a different order can mean something
| completely different. Even splitting text into useful word-like units can
| be difficult in many languages. While it's possible to solve some
| problems starting from only the raw characters, it's usually better to
| use linguistic knowledge to add useful information. That's exactly what
| spaCy is designed to do: you put in raw text, and get back a
| #[+api("doc") #[code Doc]] object, that comes with a variety of
| annotations.
+section("pos-tagging")
+h(2, "pos-tagging") Part-of-speech tagging
+tag-model("tagger", "dependency parse")
include _linguistic-features/_pos-tagging
+section("dependency-parse")
+h(2, "dependency-parse") Dependency parsing
+tag-model("dependency parse")
include _linguistic-features/_dependency-parse
+section("named-entities")
+h(2, "named-entities") Named Entities
+tag-model("named entities")
include _linguistic-features/_named-entities
+section("tokenization")
+h(2, "tokenization") Tokenization
include _linguistic-features/_tokenization
+section("rule-based-matching")
+h(2, "rule-based-matching") Rule-based matching
include _linguistic-features/_rule-based-matching