Merge branch 'master' of https://github.com/explosion/spaCy into add-span-finder

This commit is contained in:
kadarakos 2023-04-26 18:34:54 +00:00
commit 3b41a988b0
19 changed files with 291 additions and 373 deletions

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@ -1,118 +0,0 @@
parameters:
python_version: ''
architecture: 'x64'
num_build_jobs: 2
steps:
- task: UsePythonVersion@0
inputs:
versionSpec: ${{ parameters.python_version }}
architecture: ${{ parameters.architecture }}
allowUnstable: true
- bash: |
echo "##vso[task.setvariable variable=python_version]${{ parameters.python_version }}"
displayName: 'Set variables'
- script: |
python -m pip install -U build pip setuptools
python -m pip install -U -r requirements.txt
displayName: "Install dependencies"
- script: |
python -m build --sdist
displayName: "Build sdist"
- script: |
python -m mypy spacy
displayName: 'Run mypy'
condition: ne(variables['python_version'], '3.6')
- task: DeleteFiles@1
inputs:
contents: "spacy"
displayName: "Delete source directory"
- task: DeleteFiles@1
inputs:
contents: "*.egg-info"
displayName: "Delete egg-info directory"
- script: |
python -m pip freeze > installed.txt
python -m pip uninstall -y -r installed.txt
displayName: "Uninstall all packages"
- bash: |
SDIST=$(python -c "import os;print(os.listdir('./dist')[-1])" 2>&1)
SPACY_NUM_BUILD_JOBS=${{ parameters.num_build_jobs }} python -m pip install dist/$SDIST
displayName: "Install from sdist"
- script: |
python -W error -c "import spacy"
displayName: "Test import"
- script: |
python -m spacy download ca_core_news_sm
python -m spacy download ca_core_news_md
python -c "import spacy; nlp=spacy.load('ca_core_news_sm'); doc=nlp('test')"
displayName: 'Test download CLI'
condition: eq(variables['python_version'], '3.9')
- script: |
python -W error -m spacy info ca_core_news_sm | grep -q download_url
displayName: 'Test download_url in info CLI'
condition: eq(variables['python_version'], '3.9')
- script: |
python -W error -c "import ca_core_news_sm; nlp = ca_core_news_sm.load(); doc=nlp('test')"
displayName: 'Test no warnings on load (#11713)'
condition: eq(variables['python_version'], '3.9')
- script: |
python -m spacy convert extra/example_data/ner_example_data/ner-token-per-line-conll2003.json .
displayName: 'Test convert CLI'
condition: eq(variables['python_version'], '3.9')
- script: |
python -m spacy init config -p ner -l ca ner.cfg
python -m spacy debug config ner.cfg --paths.train ner-token-per-line-conll2003.spacy --paths.dev ner-token-per-line-conll2003.spacy
displayName: 'Test debug config CLI'
condition: eq(variables['python_version'], '3.9')
- script: |
# will have errors due to sparse data, check for summary in output
python -m spacy debug data ner.cfg --paths.train ner-token-per-line-conll2003.spacy --paths.dev ner-token-per-line-conll2003.spacy | grep -q Summary
displayName: 'Test debug data CLI'
condition: eq(variables['python_version'], '3.9')
- script: |
python -m spacy train ner.cfg --paths.train ner-token-per-line-conll2003.spacy --paths.dev ner-token-per-line-conll2003.spacy --training.max_steps 10 --gpu-id -1
displayName: 'Test train CLI'
condition: eq(variables['python_version'], '3.9')
- script: |
python -c "import spacy; config = spacy.util.load_config('ner.cfg'); config['components']['ner'] = {'source': 'ca_core_news_sm'}; config.to_disk('ner_source_sm.cfg')"
PYTHONWARNINGS="error,ignore::DeprecationWarning" python -m spacy assemble ner_source_sm.cfg output_dir
displayName: 'Test assemble CLI'
condition: eq(variables['python_version'], '3.9')
- script: |
python -c "import spacy; config = spacy.util.load_config('ner.cfg'); config['components']['ner'] = {'source': 'ca_core_news_md'}; config.to_disk('ner_source_md.cfg')"
python -m spacy assemble ner_source_md.cfg output_dir 2>&1 | grep -q W113
displayName: 'Test assemble CLI vectors warning'
condition: eq(variables['python_version'], '3.9')
- script: |
python -m pip install -U -r requirements.txt
displayName: "Install test requirements"
- script: |
python -m pytest --pyargs spacy -W error
displayName: "Run CPU tests"
- script: |
python -m pip install 'spacy[apple]'
python -m pytest --pyargs spacy
displayName: "Run CPU tests with thinc-apple-ops"
condition: and(startsWith(variables['imageName'], 'macos'), eq(variables['python.version'], '3.11'))

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@ -1,120 +0,0 @@
trigger:
batch: true
branches:
include:
- "*"
exclude:
- "spacy.io"
- "nightly.spacy.io"
- "v2.spacy.io"
paths:
exclude:
- "website/*"
- "*.md"
- "*.mdx"
- ".github/workflows/*"
pr:
paths:
exclude:
- "*.md"
- "*.mdx"
- "website/docs/*"
- "website/src/*"
- "website/meta/*.tsx"
- "website/meta/*.mjs"
- "website/meta/languages.json"
- "website/meta/site.json"
- "website/meta/sidebars.json"
- "website/meta/type-annotations.json"
- "website/pages/*"
- ".github/workflows/*"
jobs:
# Check formatting and linting. Perform basic checks for most important errors
# (syntax etc.) Uses the config defined in setup.cfg and overwrites the
# selected codes.
- job: "Validate"
pool:
vmImage: "ubuntu-latest"
steps:
- task: UsePythonVersion@0
inputs:
versionSpec: "3.7"
- script: |
pip install black -c requirements.txt
python -m black spacy --check
displayName: "black"
- script: |
pip install flake8==5.0.4
python -m flake8 spacy --count --select=E901,E999,F821,F822,F823,W605 --show-source --statistics
displayName: "flake8"
- script: |
python .github/validate_universe_json.py website/meta/universe.json
displayName: 'Validate website/meta/universe.json'
- job: "Test"
dependsOn: "Validate"
strategy:
matrix:
# We're only running one platform per Python version to speed up builds
Python36Linux:
imageName: "ubuntu-20.04"
python.version: "3.6"
# Python36Windows:
# imageName: "windows-latest"
# python.version: "3.6"
# Python36Mac:
# imageName: "macos-latest"
# python.version: "3.6"
# Python37Linux:
# imageName: "ubuntu-20.04"
# python.version: "3.7"
Python37Windows:
imageName: "windows-latest"
python.version: "3.7"
# Python37Mac:
# imageName: "macos-latest"
# python.version: "3.7"
# Python38Linux:
# imageName: "ubuntu-latest"
# python.version: "3.8"
# Python38Windows:
# imageName: "windows-latest"
# python.version: "3.8"
Python38Mac:
imageName: "macos-latest"
python.version: "3.8"
Python39Linux:
imageName: "ubuntu-latest"
python.version: "3.9"
# Python39Windows:
# imageName: "windows-latest"
# python.version: "3.9"
# Python39Mac:
# imageName: "macos-latest"
# python.version: "3.9"
# Python310Linux:
# imageName: "ubuntu-latest"
# python.version: "3.10"
Python310Windows:
imageName: "windows-latest"
python.version: "3.10"
# Python310Mac:
# imageName: "macos-latest"
# python.version: "3.10"
Python311Linux:
imageName: 'ubuntu-latest'
python.version: '3.11'
Python311Windows:
imageName: 'windows-latest'
python.version: '3.11'
Python311Mac:
imageName: 'macos-latest'
python.version: '3.11'
maxParallel: 4
pool:
vmImage: $(imageName)
steps:
- template: .github/azure-steps.yml
parameters:
python_version: '$(python.version)'

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@ -337,7 +337,7 @@ def debug_data(
show=verbose,
)
else:
msg.good("Examples without ocurrences available for all labels")
msg.good("Examples without occurrences available for all labels")
if "ner" in factory_names:
# Get all unique NER labels present in the data

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@ -2,12 +2,14 @@ from ...language import Language, BaseDefaults
from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
from .stop_words import STOP_WORDS
from .lex_attrs import LEX_ATTRS
from .syntax_iterators import SYNTAX_ITERATORS
class LatinDefaults(BaseDefaults):
tokenizer_exceptions = TOKENIZER_EXCEPTIONS
stop_words = STOP_WORDS
lex_attr_getters = LEX_ATTRS
syntax_iterators = SYNTAX_ITERATORS
class Latin(Language):

22
spacy/lang/la/examples.py Normal file
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@ -0,0 +1,22 @@
"""
Example sentences to test spaCy and its language models.
>>> from spacy.lang.la.examples import sentences
>>> docs = nlp.pipe(sentences)
"""
# > Caes. BG 1.1
# > Cic. De Amic. 1
# > V. Georg. 1.1-5
# > Gen. 1:1
# > Galileo, Sid. Nunc.
# > van Schurman, Opusc. arg. 1
sentences = [
"Gallia est omnis divisa in partes tres, quarum unam incolunt Belgae, aliam Aquitani, tertiam qui ipsorum lingua Celtae, nostra Galli appellantur.",
"Q. Mucius augur multa narrare de C. Laelio socero suo memoriter et iucunde solebat nec dubitare illum in omni sermone appellare sapientem.",
"Quid faciat laetas segetes, quo sidere terram uertere, Maecenas, ulmisque adiungere uitis conueniat, quae cura boum, qui cultus habendo sit pecori, apibus quanta experientia parcis, hinc canere incipiam",
"In principio creavit Deus caelum et terram.",
"Quo sumpto, intelligatur lunaris globus, cuius maximus circulus CAF, centrum vero E, dimetiens CF, qui ad Terre diametrum est ut duo ad septem.",
"Cuicunque natura indita sunt principia, seu potentiae principiorum omnium artium, ac scientiarum, ei conveniunt omnes artes ac scientiae.",
]

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@ -6,17 +6,16 @@ roman_numerals_compile = re.compile(
r"(?i)^(?=[MDCLXVI])M*(C[MD]|D?C{0,4})(X[CL]|L?X{0,4})(I[XV]|V?I{0,4})$"
)
_num_words = set(
"""
unus una unum duo duae tres tria quattuor quinque sex septem octo novem decem
_num_words = """unus una unum duo duae tres tria quattuor quinque sex septem octo novem decem undecim duodecim tredecim quattuordecim quindecim sedecim septendecim duodeviginti undeviginti viginti triginta quadraginta quinquaginta sexaginta septuaginta octoginta nonaginta centum ducenti ducentae ducenta trecenti trecentae trecenta quadringenti quadringentae quadringenta quingenti quingentae quingenta sescenti sescentae sescenta septingenti septingentae septingenta octingenti octingentae octingenta nongenti nongentae nongenta mille
""".split()
)
_ordinal_words = set(
"""
primus prima primum secundus secunda secundum tertius tertia tertium
""".split()
)
_num_words += [item.replace("v", "u") for item in _num_words]
_num_words = set(_num_words)
_ordinal_words = """primus prima primum secundus secunda secundum tertius tertia tertium quartus quarta quartum quintus quinta quintum sextus sexta sextum septimus septima septimum octavus octava octavum nonus nona nonum decimus decima decimum undecimus undecima undecimum duodecimus duodecima duodecimum duodevicesimus duodevicesima duodevicesimum undevicesimus undevicesima undevicesimum vicesimus vicesima vicesimum tricesimus tricesima tricesimum quadragesimus quadragesima quadragesimum quinquagesimus quinquagesima quinquagesimum sexagesimus sexagesima sexagesimum septuagesimus septuagesima septuagesimum octogesimus octogesima octogesimum nonagesimus nonagesima nonagesimum centesimus centesima centesimum ducentesimus ducentesima ducentesimum trecentesimus trecentesima trecentesimum quadringentesimus quadringentesima quadringentesimum quingentesimus quingentesima quingentesimum sescentesimus sescentesima sescentesimum septingentesimus septingentesima septingentesimum octingentesimus octingentesima octingentesimum nongentesimus nongentesima nongentesimum millesimus millesima millesimum""".split()
_ordinal_words += [item.replace("v", "u") for item in _ordinal_words]
_ordinal_words = set(_ordinal_words)
def like_num(text):

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@ -0,0 +1,85 @@
from typing import Union, Iterator, Tuple
from ...tokens import Doc, Span
from ...symbols import NOUN, PROPN, PRON, VERB, AUX
from ...errors import Errors
# NB: Modified from da on suggestion from https://github.com/explosion/spaCy/issues/7457#issuecomment-800349751 [PJB]
def noun_chunks(doclike: Union[Doc, Span]) -> Iterator[Tuple[int, int, int]]:
def is_verb_token(tok):
return tok.pos in [VERB, AUX]
def get_left_bound(root):
left_bound = root
for tok in reversed(list(root.lefts)):
if tok.dep in np_left_deps:
left_bound = tok
return left_bound
def get_right_bound(doc, root):
right_bound = root
for tok in root.rights:
if tok.dep in np_right_deps:
right = get_right_bound(doc, tok)
if list(
filter(
lambda t: is_verb_token(t) or t.dep in stop_deps,
doc[root.i : right.i],
)
):
break
else:
right_bound = right
return right_bound
def get_bounds(doc, root):
return get_left_bound(root), get_right_bound(doc, root)
doc = doclike.doc # Ensure works on both Doc and Span.
if not doc.has_annotation("DEP"):
raise ValueError(Errors.E029)
if not len(doc):
return
left_labels = [
"det",
"fixed",
"nmod:poss",
"amod",
"flat",
"goeswith",
"nummod",
"appos",
]
right_labels = [
"fixed",
"nmod:poss",
"amod",
"flat",
"goeswith",
"nummod",
"appos",
"nmod",
"det",
]
stop_labels = ["punct"]
np_label = doc.vocab.strings.add("NP")
np_left_deps = [doc.vocab.strings.add(label) for label in left_labels]
np_right_deps = [doc.vocab.strings.add(label) for label in right_labels]
stop_deps = [doc.vocab.strings.add(label) for label in stop_labels]
prev_right = -1
for token in doclike:
if token.pos in [PROPN, NOUN, PRON]:
left, right = get_bounds(doc, token)
if left.i <= prev_right:
continue
yield left.i, right.i + 1, np_label
prev_right = right.i
SYNTAX_ITERATORS = {"noun_chunks": noun_chunks}

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@ -12,65 +12,15 @@ _exc = {
"uobiscum": [{ORTH: "uobis"}, {ORTH: "cum"}],
}
for orth in [
"A.",
"Agr.",
"Ap.",
"C.",
"Cn.",
"D.",
"F.",
"K.",
"L.",
"M'.",
"M.",
"Mam.",
"N.",
"Oct.",
"Opet.",
"P.",
"Paul.",
"Post.",
"Pro.",
"Q.",
"S.",
"Ser.",
"Sert.",
"Sex.",
"St.",
"Sta.",
"T.",
"Ti.",
"V.",
"Vol.",
"Vop.",
"U.",
"Uol.",
"Uop.",
"Ian.",
"Febr.",
"Mart.",
"Apr.",
"Mai.",
"Iun.",
"Iul.",
"Aug.",
"Sept.",
"Oct.",
"Nov.",
"Nou.",
"Dec.",
"Non.",
"Id.",
"A.D.",
"Coll.",
"Cos.",
"Ord.",
"Pl.",
"S.C.",
"Suff.",
"Trib.",
]:
_abbrev_exc = """A. A.D. Aa. Aaa. Acc. Agr. Ap. Apr. April. A.U.C. Aug. C. Caes. Caess. Cc. Cn. Coll. Cons. Conss. Cos. Coss. D. D.N. Dat. Dd. Dec. Decemb. Decembr. F. Feb. Febr. Februar. Ian. Id. Imp. Impp. Imppp. Iul. Iun. K. Kal. L. M'. M. Mai. Mam. Mar. Mart. Med. N. Nn. Nob. Non. Nov. Novemb. Oct. Octob. Opet. Ord. P. Paul. Pf. Pl. Plur. Post. Pp. Prid. Pro. Procos. Q. Quint. S. S.C. Scr. Sept. Septemb. Ser. Sert. Sex. Sext. St. Sta. Suff. T. Ti. Trib. V. Vol. Vop. Vv.""".split()
_abbrev_exc += [item.lower() for item in _abbrev_exc]
_abbrev_exc += [item.upper() for item in _abbrev_exc]
_abbrev_exc += [item.replace("v", "u").replace("V", "U") for item in _abbrev_exc]
_abbrev_exc += ["d.N."]
for orth in set(_abbrev_exc):
_exc[orth] = [{ORTH: orth}]
TOKENIZER_EXCEPTIONS = update_exc(BASE_EXCEPTIONS, _exc)

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@ -432,22 +432,22 @@ cdef class DependencyMatcher:
return [doc[child.i] for child in doc[node].head.children if child.i < node]
def _imm_right_child(self, doc, node):
for child in doc[node].children:
for child in doc[node].rights:
if child.i == node + 1:
return [doc[child.i]]
return []
def _imm_left_child(self, doc, node):
for child in doc[node].children:
for child in doc[node].lefts:
if child.i == node - 1:
return [doc[child.i]]
return []
def _right_child(self, doc, node):
return [doc[child.i] for child in doc[node].children if child.i > node]
return [child for child in doc[node].rights]
def _left_child(self, doc, node):
return [doc[child.i] for child in doc[node].children if child.i < node]
return [child for child in doc[node].lefts]
def _imm_right_parent(self, doc, node):
if doc[node].head.i == node + 1:

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@ -33,6 +33,8 @@ def test_token_morph_key(i_has):
def test_morph_props(i_has):
assert i_has[0].morph.get("PronType") == ["prs"]
assert i_has[1].morph.get("PronType") == []
assert i_has[1].morph.get("AsdfType", ["asdf"]) == ["asdf"]
assert i_has[1].morph.get("AsdfType", default=["asdf", "qwer"]) == ["asdf", "qwer"]
def test_morph_iter(i_has):

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@ -0,0 +1,52 @@
import pytest
from spacy.tokens import Doc
def test_noun_chunks_is_parsed(la_tokenizer):
"""Test that noun_chunks raises Value Error for 'la' language if Doc is not parsed.
To check this test, we're constructing a Doc
with a new Vocab here and forcing is_parsed to 'False'
to make sure the noun chunks don't run.
"""
doc = la_tokenizer("Haec est sententia.")
with pytest.raises(ValueError):
list(doc.noun_chunks)
LA_NP_TEST_EXAMPLES = [
(
"Haec narrantur a poetis de Perseo.",
["DET", "VERB", "ADP", "NOUN", "ADP", "PROPN", "PUNCT"],
["nsubj:pass", "ROOT", "case", "obl", "case", "obl", "punct"],
[1, 0, -1, -1, -3, -1, -5],
["poetis", "Perseo"],
),
(
"Perseus autem in sinu matris dormiebat.",
["NOUN", "ADV", "ADP", "NOUN", "NOUN", "VERB", "PUNCT"],
["nsubj", "discourse", "case", "obl", "nmod", "ROOT", "punct"],
[5, 4, 3, -1, -1, 0, -1],
["Perseus", "sinu matris"],
),
]
@pytest.mark.parametrize(
"text,pos,deps,heads,expected_noun_chunks", LA_NP_TEST_EXAMPLES
)
def test_la_noun_chunks(la_tokenizer, text, pos, deps, heads, expected_noun_chunks):
tokens = la_tokenizer(text)
assert len(heads) == len(pos)
doc = Doc(
tokens.vocab,
words=[t.text for t in tokens],
heads=[head + i for i, head in enumerate(heads)],
deps=deps,
pos=pos,
)
noun_chunks = list(doc.noun_chunks)
assert len(noun_chunks) == len(expected_noun_chunks)
for i, np in enumerate(noun_chunks):
assert np.text == expected_noun_chunks[i]

View File

@ -834,10 +834,12 @@ cdef class Tokenizer:
self.token_match = re.compile(data["token_match"]).match
if "url_match" in data and isinstance(data["url_match"], str):
self.url_match = re.compile(data["url_match"]).match
if "rules" in data and isinstance(data["rules"], dict):
self.rules = data["rules"]
if "faster_heuristics" in data:
self.faster_heuristics = data["faster_heuristics"]
# always load rules last so that all other settings are set before the
# internal tokenization for the phrase matcher
if "rules" in data and isinstance(data["rules"], dict):
self.rules = data["rules"]
return self

View File

@ -1,4 +1,4 @@
from typing import Any, Dict, Iterator, List, Union
from typing import Any, Dict, Iterator, List, Optional, Union
from ..vocab import Vocab
class MorphAnalysis:
@ -13,7 +13,7 @@ class MorphAnalysis:
def __hash__(self) -> int: ...
def __eq__(self, other: MorphAnalysis) -> bool: ... # type: ignore[override]
def __ne__(self, other: MorphAnalysis) -> bool: ... # type: ignore[override]
def get(self, field: Any) -> List[str]: ...
def get(self, field: Any, default: Optional[List[str]]) -> List[str]: ...
def to_json(self) -> str: ...
def to_dict(self) -> Dict[str, str]: ...
def __str__(self) -> str: ...

View File

@ -58,10 +58,14 @@ cdef class MorphAnalysis:
def __ne__(self, other):
return self.key != other.key
def get(self, field):
def get(self, field, default=None):
"""Retrieve feature values by field."""
cdef attr_t field_id = self.vocab.strings.as_int(field)
cdef np.ndarray results = get_by_field(&self.c, field_id)
if len(results) == 0:
if default is None:
default = []
return default
features = [self.vocab.strings[result] for result in results]
return [f.split(Morphology.FIELD_SEP)[1] for f in features]

View File

@ -68,28 +68,28 @@ The following operators are supported by the `DependencyMatcher`, most of which
come directly from
[Semgrex](https://nlp.stanford.edu/nlp/javadoc/javanlp/edu/stanford/nlp/semgraph/semgrex/SemgrexPattern.html):
| Symbol | Description |
| --------------------------------------- | -------------------------------------------------------------------------------------------------------------------- |
| `A < B` | `A` is the immediate dependent of `B`. |
| `A > B` | `A` is the immediate head of `B`. |
| `A << B` | `A` is the dependent in a chain to `B` following dep &rarr; head paths. |
| `A >> B` | `A` is the head in a chain to `B` following head &rarr; dep paths. |
| `A . B` | `A` immediately precedes `B`, i.e. `A.i == B.i - 1`, and both are within the same dependency tree. |
| `A .* B` | `A` precedes `B`, i.e. `A.i < B.i`, and both are within the same dependency tree _(not in Semgrex)_. |
| `A ; B` | `A` immediately follows `B`, i.e. `A.i == B.i + 1`, and both are within the same dependency tree _(not in Semgrex)_. |
| `A ;* B` | `A` follows `B`, i.e. `A.i > B.i`, and both are within the same dependency tree _(not in Semgrex)_. |
| `A $+ B` | `B` is a right immediate sibling of `A`, i.e. `A` and `B` have the same parent and `A.i == B.i - 1`. |
| `A $- B` | `B` is a left immediate sibling of `A`, i.e. `A` and `B` have the same parent and `A.i == B.i + 1`. |
| `A $++ B` | `B` is a right sibling of `A`, i.e. `A` and `B` have the same parent and `A.i < B.i`. |
| `A $-- B` | `B` is a left sibling of `A`, i.e. `A` and `B` have the same parent and `A.i > B.i`. |
| `A >+ B` <Tag variant="new">3.5.1</Tag> | `B` is a right immediate child of `A`, i.e. `A` is a parent of `B` and `A.i == B.i - 1` _(not in Semgrex)_. |
| `A >- B` <Tag variant="new">3.5.1</Tag> | `B` is a left immediate child of `A`, i.e. `A` is a parent of `B` and `A.i == B.i + 1` _(not in Semgrex)_. |
| `A >++ B` | `B` is a right child of `A`, i.e. `A` is a parent of `B` and `A.i < B.i` _(not in Semgrex)_. |
| `A >-- B` | `B` is a left child of `A`, i.e. `A` is a parent of `B` and `A.i > B.i` _(not in Semgrex)_. |
| `A <+ B` <Tag variant="new">3.5.1</Tag> | `B` is a right immediate parent of `A`, i.e. `A` is a child of `B` and `A.i == B.i - 1` _(not in Semgrex)_. |
| `A <- B` <Tag variant="new">3.5.1</Tag> | `B` is a left immediate parent of `A`, i.e. `A` is a child of `B` and `A.i == B.i + 1` _(not in Semgrex)_. |
| `A <++ B` | `B` is a right parent of `A`, i.e. `A` is a child of `B` and `A.i < B.i` _(not in Semgrex)_. |
| `A <-- B` | `B` is a left parent of `A`, i.e. `A` is a child of `B` and `A.i > B.i` _(not in Semgrex)_. |
| Symbol | Description |
| --------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------- |
| `A < B` | `A` is the immediate dependent of `B`. |
| `A > B` | `A` is the immediate head of `B`. |
| `A << B` | `A` is the dependent in a chain to `B` following dep &rarr; head paths. |
| `A >> B` | `A` is the head in a chain to `B` following head &rarr; dep paths. |
| `A . B` | `A` immediately precedes `B`, i.e. `A.i == B.i - 1`, and both are within the same dependency tree. |
| `A .* B` | `A` precedes `B`, i.e. `A.i < B.i`, and both are within the same dependency tree _(Semgrex counterpart: `..`)_. |
| `A ; B` | `A` immediately follows `B`, i.e. `A.i == B.i + 1`, and both are within the same dependency tree _(Semgrex counterpart: `-`)_. |
| `A ;* B` | `A` follows `B`, i.e. `A.i > B.i`, and both are within the same dependency tree _(Semgrex counterpart: `--`)_. |
| `A $+ B` | `B` is a right immediate sibling of `A`, i.e. `A` and `B` have the same parent and `A.i == B.i - 1`. |
| `A $- B` | `B` is a left immediate sibling of `A`, i.e. `A` and `B` have the same parent and `A.i == B.i + 1`. |
| `A $++ B` | `B` is a right sibling of `A`, i.e. `A` and `B` have the same parent and `A.i < B.i`. |
| `A $-- B` | `B` is a left sibling of `A`, i.e. `A` and `B` have the same parent and `A.i > B.i`. |
| `A >+ B` <Tag variant="new">3.5.1</Tag> | `B` is a right immediate child of `A`, i.e. `A` is a parent of `B` and `A.i == B.i - 1` _(not in Semgrex)_. |
| `A >- B` <Tag variant="new">3.5.1</Tag> | `B` is a left immediate child of `A`, i.e. `A` is a parent of `B` and `A.i == B.i + 1` _(not in Semgrex)_. |
| `A >++ B` | `B` is a right child of `A`, i.e. `A` is a parent of `B` and `A.i < B.i`. |
| `A >-- B` | `B` is a left child of `A`, i.e. `A` is a parent of `B` and `A.i > B.i`. |
| `A <+ B` <Tag variant="new">3.5.1</Tag> | `B` is a right immediate parent of `A`, i.e. `A` is a child of `B` and `A.i == B.i - 1` _(not in Semgrex)_. |
| `A <- B` <Tag variant="new">3.5.1</Tag> | `B` is a left immediate parent of `A`, i.e. `A` is a child of `B` and `A.i == B.i + 1` _(not in Semgrex)_. |
| `A <++ B` | `B` is a right parent of `A`, i.e. `A` is a child of `B` and `A.i < B.i`. |
| `A <-- B` | `B` is a left parent of `A`, i.e. `A` is a child of `B` and `A.i > B.i`. |
## DependencyMatcher.\_\_init\_\_ {id="init",tag="method"}

View File

@ -213,10 +213,11 @@ Retrieve values for a feature by field.
> assert morph.get("Feat1") == ["Val1", "Val2"]
> ```
| Name | Description |
| ----------- | ------------------------------------------------ |
| `field` | The field to retrieve. ~~str~~ |
| **RETURNS** | A list of the individual features. ~~List[str]~~ |
| Name | Description |
| -------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------ |
| `field` | The field to retrieve. ~~str~~ |
| `default` <Tag variant="new">3.6</Tag> | The value to return if the field is not present. If unset or `None`, the default return value is `[]`. ~~Optional[List[str]]~~ |
| **RETURNS** | A list of the individual features. ~~List[str]~~ |
### MorphAnalysis.to_dict {id="morphanalysis-to_dict",tag="method"}

View File

@ -1096,28 +1096,28 @@ The following operators are supported by the `DependencyMatcher`, most of which
come directly from
[Semgrex](https://nlp.stanford.edu/nlp/javadoc/javanlp/edu/stanford/nlp/semgraph/semgrex/SemgrexPattern.html):
| Symbol | Description |
| --------------------------------------- | -------------------------------------------------------------------------------------------------------------------- |
| `A < B` | `A` is the immediate dependent of `B`. |
| `A > B` | `A` is the immediate head of `B`. |
| `A << B` | `A` is the dependent in a chain to `B` following dep &rarr; head paths. |
| `A >> B` | `A` is the head in a chain to `B` following head &rarr; dep paths. |
| `A . B` | `A` immediately precedes `B`, i.e. `A.i == B.i - 1`, and both are within the same dependency tree. |
| `A .* B` | `A` precedes `B`, i.e. `A.i < B.i`, and both are within the same dependency tree _(not in Semgrex)_. |
| `A ; B` | `A` immediately follows `B`, i.e. `A.i == B.i + 1`, and both are within the same dependency tree _(not in Semgrex)_. |
| `A ;* B` | `A` follows `B`, i.e. `A.i > B.i`, and both are within the same dependency tree _(not in Semgrex)_. |
| `A $+ B` | `B` is a right immediate sibling of `A`, i.e. `A` and `B` have the same parent and `A.i == B.i - 1`. |
| `A $- B` | `B` is a left immediate sibling of `A`, i.e. `A` and `B` have the same parent and `A.i == B.i + 1`. |
| `A $++ B` | `B` is a right sibling of `A`, i.e. `A` and `B` have the same parent and `A.i < B.i`. |
| `A $-- B` | `B` is a left sibling of `A`, i.e. `A` and `B` have the same parent and `A.i > B.i`. |
| `A >+ B` <Tag variant="new">3.5.1</Tag> | `B` is a right immediate child of `A`, i.e. `A` is a parent of `B` and `A.i == B.i - 1` _(not in Semgrex)_. |
| `A >- B` <Tag variant="new">3.5.1</Tag> | `B` is a left immediate child of `A`, i.e. `A` is a parent of `B` and `A.i == B.i + 1` _(not in Semgrex)_. |
| `A >++ B` | `B` is a right child of `A`, i.e. `A` is a parent of `B` and `A.i < B.i` _(not in Semgrex)_. |
| `A >-- B` | `B` is a left child of `A`, i.e. `A` is a parent of `B` and `A.i > B.i` _(not in Semgrex)_. |
| `A <+ B` <Tag variant="new">3.5.1</Tag> | `B` is a right immediate parent of `A`, i.e. `A` is a child of `B` and `A.i == B.i - 1` _(not in Semgrex)_. |
| `A <- B` <Tag variant="new">3.5.1</Tag> | `B` is a left immediate parent of `A`, i.e. `A` is a child of `B` and `A.i == B.i + 1` _(not in Semgrex)_. |
| `A <++ B` | `B` is a right parent of `A`, i.e. `A` is a child of `B` and `A.i < B.i` _(not in Semgrex)_. |
| `A <-- B` | `B` is a left parent of `A`, i.e. `A` is a child of `B` and `A.i > B.i` _(not in Semgrex)_. |
| Symbol | Description |
| --------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------- |
| `A < B` | `A` is the immediate dependent of `B`. |
| `A > B` | `A` is the immediate head of `B`. |
| `A << B` | `A` is the dependent in a chain to `B` following dep &rarr; head paths. |
| `A >> B` | `A` is the head in a chain to `B` following head &rarr; dep paths. |
| `A . B` | `A` immediately precedes `B`, i.e. `A.i == B.i - 1`, and both are within the same dependency tree. |
| `A .* B` | `A` precedes `B`, i.e. `A.i < B.i`, and both are within the same dependency tree _(Semgrex counterpart: `..`)_. |
| `A ; B` | `A` immediately follows `B`, i.e. `A.i == B.i + 1`, and both are within the same dependency tree _(Semgrex counterpart: `-`)_. |
| `A ;* B` | `A` follows `B`, i.e. `A.i > B.i`, and both are within the same dependency tree _(Semgrex counterpart: `--`)_. |
| `A $+ B` | `B` is a right immediate sibling of `A`, i.e. `A` and `B` have the same parent and `A.i == B.i - 1`. |
| `A $- B` | `B` is a left immediate sibling of `A`, i.e. `A` and `B` have the same parent and `A.i == B.i + 1`. |
| `A $++ B` | `B` is a right sibling of `A`, i.e. `A` and `B` have the same parent and `A.i < B.i`. |
| `A $-- B` | `B` is a left sibling of `A`, i.e. `A` and `B` have the same parent and `A.i > B.i`. |
| `A >+ B` <Tag variant="new">3.5.1</Tag> | `B` is a right immediate child of `A`, i.e. `A` is a parent of `B` and `A.i == B.i - 1` _(not in Semgrex)_. |
| `A >- B` <Tag variant="new">3.5.1</Tag> | `B` is a left immediate child of `A`, i.e. `A` is a parent of `B` and `A.i == B.i + 1` _(not in Semgrex)_. |
| `A >++ B` | `B` is a right child of `A`, i.e. `A` is a parent of `B` and `A.i < B.i`. |
| `A >-- B` | `B` is a left child of `A`, i.e. `A` is a parent of `B` and `A.i > B.i`. |
| `A <+ B` <Tag variant="new">3.5.1</Tag> | `B` is a right immediate parent of `A`, i.e. `A` is a child of `B` and `A.i == B.i - 1` _(not in Semgrex)_. |
| `A <- B` <Tag variant="new">3.5.1</Tag> | `B` is a left immediate parent of `A`, i.e. `A` is a child of `B` and `A.i == B.i + 1` _(not in Semgrex)_. |
| `A <++ B` | `B` is a right parent of `A`, i.e. `A` is a child of `B` and `A.i < B.i`. |
| `A <-- B` | `B` is a left parent of `A`, i.e. `A` is a child of `B` and `A.i > B.i`. |
### Designing dependency matcher patterns {id="dependencymatcher-patterns"}

View File

@ -1,5 +1,48 @@
{
"resources": [
{
"id": "spacy-wasm",
"title": "spacy-wasm",
"slogan": "spaCy in the browser using WebAssembly",
"description": "Run spaCy directly in the browser with WebAssembly. Using Pyodide, the application loads the spaCy model and renders the text prompt with displaCy.",
"url": "https://spacy-wasm.vercel.app/",
"github": "SyedAhkam/spacy-wasm",
"code_language": "python",
"author": "Syed Ahkam",
"author_links": {
"twitter": "@SyedAhkam1",
"github": "SyedAhkam"
},
"category": ["visualizers"],
"tags": ["visualization", "deployment"]
},
{
"id": "spacysee",
"title": "spaCysee",
"slogan": "Visualize spaCy's Dependency Parsing, POS tagging, and morphological analysis",
"description": "A project that helps you visualize your spaCy docs in Jupyter notebooks. Each of the dependency tags, POS tags and morphological features are clickable. Clicking on a tag will bring up the relevant documentation for that tag.",
"github": "moxley01/spacysee",
"pip": "spacysee",
"code_example": [
"import spacy",
"from spacysee import render",
"",
"nlp = spacy.load('en_core_web_sm')",
"doc = nlp('This is a neat way to visualize your spaCy docs')",
"render(doc, width='500', height='500')"
],
"code_language": "python",
"thumb": "https://www.mattoxley.com/static/images/spacysee_logo.svg",
"image": "https://www.mattoxley.com/static/images/spacysee_logo.svg",
"author": "Matt Oxley",
"author_links": {
"twitter": "matt0xley",
"github": "moxley01",
"website": "https://mattoxley.com"
},
"category": ["visualizers"],
"tags": ["visualization"]
},
{
"id": "grecy",
"title": "greCy",
@ -1555,7 +1598,7 @@
"twitter": "allenai_org",
"website": "http://allenai.org"
},
"category": ["scientific", "models", "research"]
"category": ["scientific", "models", "research", "biomedical"]
},
{
"id": "textacy",

View File

@ -57,15 +57,9 @@ const AlertSpace = ({ nightly, legacy }) => {
)
}
// const navAlert = (
// <Link to="/usage/v3-5" noLinkLayout>
// <strong>💥 Out now:</strong> spaCy v3.5
// </Link>
// )
const navAlert = (
<Link to="https://form.typeform.com/to/aMel9q9f" noLinkLayout>
<strong>💥 Take the user survey!</strong>
<Link to="/usage/v3-5" noLinkLayout>
<strong>💥 Out now:</strong> spaCy v3.5
</Link>
)