Rooba
/
spaCy
mirror of https://github.com/explosion/spaCy.git
1
1
Fork 0
Code Issues Packages Projects Releases Wiki Activity

Update docs [ci skip]

This commit is contained in:
Ines Montani 2020-11-09 12:43:26 +08:00
parent 8ef056cf98
commit 363ac73c72
4 changed files with 17 additions and 21 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
spacy/tests/README.md
View File

@ -109,12 +109,12 @@ Loading the models is expensive and not necessary if you're not actually testing
```python
def test_doc_token_api_strings(en_vocab):
text = "Give it back! He pleaded."
words = ["Give", "it", "back", "!", "He", "pleaded", "."]
pos = ['VERB', 'PRON', 'PART', 'PUNCT', 'PRON', 'VERB', 'PUNCT']
heads = [0, 0, 0, 0, 5, 5, 5]
deps = ['ROOT', 'dobj', 'prt', 'punct', 'nsubj', 'ROOT', 'punct']
doc = Doc(en_vocab, [t.text for t in tokens], pos=pos, heads=heads, deps=deps)
doc = Doc(en_vocab, words=words, pos=pos, heads=heads, deps=deps)
assert doc[0].text == 'Give'
assert doc[0].lower_ == 'give'
assert doc[0].pos_ == 'VERB'

14
website/docs/api/language.md
View File

@ -786,15 +786,13 @@ doesn't, the pipeline analysis won't catch that.
### Pretty
============================= Pipeline Overview =============================
# Component Assigns Requires Scores Retokenizes
- ------------- --------------- -------------- --------- -----------
0 tagger token.tag tag_acc False
pos_acc
lemma_acc
# Component Assigns Requires Scores Retokenizes
- ------------- --------------- -------------- ----------- -----------
0 tagger token.tag tag_acc False
1 entity_linker token.ent_kb_id doc.ents False
doc.sents
token.ent_iob
1 entity_linker token.ent_kb_id doc.ents nel_micro_f False
doc.sents nel_micro_r
token.ent_iob nel_micro_p
token.ent_type

6
website/docs/usage/linguistic-features.md
View File

@ -54,9 +54,9 @@ create a surface form. Here are some examples:
| I don't watch the news, I read the paper | read | read | `VERB` | `VerbForm=Fin`, `Mood=Ind`, `Tense=Pres` |
| I read the paper yesterday | read | read | `VERB` | `VerbForm=Fin`, `Mood=Ind`, `Tense=Past` |
Morphological features are stored in the [`MorphAnalysis`](/api/morphanalysis)
under `Token.morph`, which allows you to access individual morphological
features.
Morphological features are stored in the
[`MorphAnalysis`](/api/morphology#morphanalysis) under `Token.morph`, which
allows you to access individual morphological features.
> #### 📝 Things to try
>

14
website/docs/usage/processing-pipelines.md
View File

@ -487,15 +487,13 @@ analysis = nlp.analyze_pipes(pretty=True)
### Pretty
============================= Pipeline Overview =============================
# Component Assigns Requires Scores Retokenizes
- ------------- --------------- -------------- --------- -----------
0 tagger token.tag tag_acc False
pos_acc
lemma_acc
# Component Assigns Requires Scores Retokenizes
- ------------- --------------- -------------- ----------- -----------
0 tagger token.tag tag_acc False
1 entity_linker token.ent_kb_id doc.ents False
doc.sents
token.ent_iob
1 entity_linker token.ent_kb_id doc.ents nel_micro_f False
doc.sents nel_micro_r
token.ent_iob nel_micro_p
token.ent_type