spaCy-COMBO
Basic Usage
>>> import spacy_combo
>>> nlp=spacy_combo.load("en_ewt")
>>> doc=nlp("I saw a horse yesterday which had no name.")
>>> for t in doc:
... print("\t".join([str(t.i+1),t.orth_,t.lemma_,t.pos_,t.tag_,"_",str(0 if t.head==t else t.head.i+1),t.dep_,"_","_" if t.whitespace_ else "SpaceAfter=No"]))
...
1 I I PRON PRON_Case=Nom|Number=Sing|Person=1|PronType=Prs _ 2 nsubj _ _
2 saw see VERB VERB_Mood=Ind|Tense=Past|VerbForm=Fin _ 0 ROOT _ _
3 a a DET DET_Definite=Ind|PronType=Art _ 4 det _ _
4 horse horse NOUN NOUN_Number=Sing _ 2 obj _ _
5 yesterday yesterday NOUN NOUN_Number=Sing _ 2 obl:tmod _ _
6 which which PRON PRON_PronType=Rel _ 7 nsubj _ _
7 had have VERB VERB_Mood=Ind|Tense=Past|VerbForm=Fin _ 4 acl:relcl _ _
8 no no DET DET _ 9 det _ _
9 name name NOUN NOUN_Number=Sing _ 7 obj _ SpaceAfter=No
10 . . PUNCT PUNCT _ 2 punct _ SpaceAfter=No
>>> import deplacy
>>> deplacy.render(doc)
I PRON <══════════════╗ nsubj
saw VERB ═══════════╗═╗═╝═╗ ROOT
a DET <════════╗ ║ ║ ║ det
horse NOUN ═══════╗═╝<╝ ║ ║ obj
yesterday NOUN <══════║═════╝ ║ obl:tmod
which PRON <════╗ ║ ║ nsubj
had VERB ═══╗═╝<╝ ║ acl:relcl
no DET <╗ ║ ║ det
name NOUN ═╝<╝ ║ obj
. PUNCT <════════════════╝ punct
spacy_combo.load(treebank) loads spaCy Language pipeline for COMBO. Available treebanks are shown in COMBO page.
Installation
pip version 20.0 (or higher) required:
pip install spacy_combo
1 maintainer
Release files for spacy-combo 0.8.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| spacy_combo-0.8.1-py3-none-any.whl | Python 3 | none | any | Details |
Release files / spacy_combo-0.8.1-py3-none-any.whl
| Download URL | spacy_combo-0.8.1-py3-none-any.whl |
|---|---|
| Size | 19.1 kB |
| Tags | Python 3 |
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