Merge branch 'master' into rappdw/tokenizer_exceptions_url_fix

This commit is contained in:
Dan Rapp 2017-03-09 11:42:14 -07:00
commit b9307dfcd7
7 changed files with 301 additions and 141 deletions

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@ -1,35 +1,35 @@
spaCy: Industrial-strength NLP
******************************
spaCy is a library for advanced natural language processing in Python and
Cython. spaCy is built on the very latest research, but it isn't researchware.
It was designed from day one to be used in real products. spaCy currently supports
English and German, as well as tokenization for Chinese, Spanish, Italian, French,
spaCy is a library for advanced natural language processing in Python and
Cython. spaCy is built on the very latest research, but it isn't researchware.
It was designed from day one to be used in real products. spaCy currently supports
English and German, as well as tokenization for Chinese, Spanish, Italian, French,
Portuguese, Dutch, Swedish, Finnish, Hungarian and Bengali. It's commercial open-source
software, released under the MIT license.
💫 **Version 1.6 out now!** `Read the release notes here. <https://github.com/explosion/spaCy/releases/>`_
.. image:: https://img.shields.io/travis/explosion/spaCy.svg?style=flat-square
.. image:: https://img.shields.io/travis/explosion/spaCy/master.svg?style=flat-square
:target: https://travis-ci.org/explosion/spaCy
:alt: Build Status
.. image:: https://img.shields.io/github/release/explosion/spacy.svg?style=flat-square
:target: https://github.com/explosion/spaCy/releases
:target: https://github.com/explosion/spaCy/releases
:alt: Current Release Version
.. image:: https://anaconda.org/conda-forge/spacy/badges/version.svg
:target: https://anaconda.org/conda-forge/spacy
:alt: conda Version
.. image:: https://img.shields.io/pypi/v/spacy.svg?style=flat-square
:target: https://pypi.python.org/pypi/spacy
:alt: pypi Version
.. image:: https://anaconda.org/conda-forge/spacy/badges/version.svg
:target: https://anaconda.org/conda-forge/spacy
:alt: conda Version
.. image:: https://img.shields.io/badge/gitter-join%20chat%20%E2%86%92-09a3d5.svg?style=flat-square
:target: https://gitter.im/explosion/spaCy
:alt: spaCy on Gitter
.. image:: https://img.shields.io/twitter/follow/spacy_io.svg?style=social&label=Follow
:target: https://twitter.com/spacy_io
:alt: spaCy on Twitter
@ -55,7 +55,7 @@ software, released under the MIT license.
+---------------------------+------------------------------------------------------------------------------------------------------------+
| **Bug reports**     | `GitHub Issue tracker <https://github.com/explosion/spaCy/issues>`_                                     |
+---------------------------+------------------------------------------------------------------------------------------------------------+
| **Usage questions**   | `StackOverflow <http://stackoverflow.com/questions/tagged/spacy>`_, `Reddit usergroup                     |
| **Usage questions**   | `StackOverflow <http://stackoverflow.com/questions/tagged/spacy>`_, `Reddit usergroup                     |
| | <https://www.reddit.com/r/spacynlp>`_, `Gitter chat <https://gitter.im/explosion/spaCy>`_ |
+---------------------------+------------------------------------------------------------------------------------------------------------+
| **General discussion** | `Reddit usergroup <https://www.reddit.com/r/spacynlp>`_, |
@ -104,100 +104,143 @@ Supports
Install spaCy
=============
spaCy is compatible with 64-bit CPython 2.6+/3.3+ and runs on Unix/Linux, OS X
and Windows. Source packages are available via
`pip <https://pypi.python.org/pypi/spacy>`_. Please make sure that
you have a working build enviroment set up. See notes on Ubuntu, macOS/OS X and Windows
for details.
spaCy is compatible with **64-bit CPython 2.6+/3.3+** and runs on **Unix/Linux**,
**macOS/OS X** and **Windows**. The latest spaCy releases are available over
`pip <https://pypi.python.org/pypi/spacy>`_ (source packages only) and
`conda <https://anaconda.org/conda-forge/spacy>`_. Installation requires a working
build environment. See notes on Ubuntu, macOS/OS X and Windows for details.
pip
---
When using pip it is generally recommended to install packages in a virtualenv to
avoid modifying system state:
Using pip, spaCy releases are currently only available as source packages.
.. code:: bash
pip install spacy
pip install -U spacy
Python packaging is awkward at the best of times, and it's particularly tricky with
C extensions, built via Cython, requiring large data files. So, please report issues
as you encounter them.
When using pip it is generally recommended to install packages in a ``virtualenv``
to avoid modifying system state:
.. code:: bash
virtualenv .env
source .env/bin/activate
pip install spacy
conda
-----
If you're using conda, you can install spaCy via ``conda-forge``:
Thanks to our great community, we've finally re-added conda support. You can now
install spaCy via ``conda-forge``:
.. code:: bash
  conda config --add channels conda-forge
  conda install spacy
For the feedstock including the build recipe and configuration,
check out `this repository <https://github.com/conda-forge/spacy-feedstock>`_.
Thanks to our great community, we've finally re-added conda support — improvements
and pull requests to the recipe and setup are always appreciated.
Improvements and pull requests to the recipe and setup are always appreciated.
Install model
=============
Download models
===============
After installation you need to download a language model. Currently only models for
English and German, named ``en`` and ``de``, are available.
After installation you need to download a language model. Models for English
(``en``) and German (``de``) are available.
.. code:: bash
python -m spacy.en.download all
python -m spacy.de.download all
The download command fetches about 1 GB of data which it installs
The download command fetches about 1 GB of data which it installs
within the ``spacy`` package directory.
Upgrading spaCy
===============
To upgrade spaCy to the latest release:
pip
---
.. code:: bash
pip install -U spacy
Sometimes new releases require a new language model. Then you will have to upgrade to
a new model, too. You can also force re-downloading and installing a new language model:
Sometimes new releases require a new language model. Then you will have to
upgrade to a new model, too. You can also force re-downloading and installing a
new language model:
.. code:: bash
python -m spacy.en.download --force
Download model to custom location
---------------------------------
You can specify where ``spacy.en.download`` and ``spacy.de.download`` download
the language model to using the ``--data-path`` or ``-d`` argument:
.. code:: bash
python -m spacy.en.download all --data-path /some/dir
If you choose to download to a custom location, you will need to tell spaCy where to load the model
from in order to use it. You can do this either by calling ``spacy.util.set_data_path()`` before
calling ``spacy.load()``, or by passing a ``path`` argument to the ``spacy.en.English`` or
``spacy.de.German`` constructors.
Download models manually
------------------------
As of v1.6, the models and word vectors are also available as direct downloads
from GitHub, attached to the `releases <https://github.com/explosion/spacy/releases>`_
as ``.tar.gz`` archives.
To install the models manually, first find the default data path. You can use
``spacy.util.get_data_path()`` to find the directory where spaCy will look for
its models, or change the default data path with ``spacy.util.set_data_path()``.
Then simply unpack the archive and place the contained folder in that directory.
You can now load the models via ``spacy.load()``.
Compile from source
===================
The other way to install spaCy is to clone its GitHub repository and build it from
The other way to install spaCy is to clone its
`GitHub repository <https://github.com/explosion/spaCy>`_ and build it from
source. That is the common way if you want to make changes to the code base.
You'll need to make sure that you have a development enviroment consisting of a
Python distribution including header files, a compiler, pip, virtualenv and git
installed. The compiler part is the trickiest. How to do that depends on your
system. See notes on Ubuntu, OS X and Windows for details.
You'll need to make sure that you have a development enviroment consisting of a
Python distribution including header files, a compiler,
`pip <https://pip.pypa.io/en/latest/installing/>`__, `virtualenv <https://virtualenv.pypa.io/>`_
and `git <https://git-scm.com>`_ installed. The compiler part is the trickiest.
How to do that depends on your system. See notes on Ubuntu, OS X and Windows for
details.
.. code:: bash
# make sure you are using recent pip/virtualenv versions
python -m pip install -U pip virtualenv
# find git install instructions at https://git-scm.com/downloads
git clone https://github.com/explosion/spaCy.git
git clone https://github.com/explosion/spaCy
cd spaCy
virtualenv .env && source .env/bin/activate
virtualenv .env
source .env/bin/activate
pip install -r requirements.txt
pip install -e .
Compared to regular install via pip `requirements.txt <requirements.txt>`_
additionally installs developer dependencies such as cython.
Compared to regular install via pip `requirements.txt <requirements.txt>`_
additionally installs developer dependencies such as Cython.
Instead of the above verbose commands, you can also use the following
`Fabric <http://www.fabfile.org/>`_ commands:
+---------------+--------------------------------------------------------------+
| ``fab env`` | Create ``virtualenv`` and delete previous one, if it exists. |
+---------------+--------------------------------------------------------------+
| ``fab make`` | Compile the source. |
+---------------+--------------------------------------------------------------+
| ``fab clean`` | Remove compiled objects, including the generated C++. |
+---------------+--------------------------------------------------------------+
| ``fab test`` | Run basic tests, aborting after first failure. |
+---------------+--------------------------------------------------------------+
All commands assume that your ``virtualenv`` is located in a directory ``.env``.
If you're using a different directory, you can change it via the environment
variable ``VENV_DIR``, for example:
.. code:: bash
VENV_DIR=".custom-env" fab clean make
Ubuntu
------
@ -211,54 +254,38 @@ Install system-level dependencies via ``apt-get``:
macOS / OS X
------------
Install a recent version of `XCode <https://developer.apple.com/xcode/>`_,
including the so-called "Command Line Tools". macOS and OS X ship with Python
Install a recent version of `XCode <https://developer.apple.com/xcode/>`_,
including the so-called "Command Line Tools". macOS and OS X ship with Python
and git preinstalled.
Windows
-------
Install a version of `Visual Studio Express <https://www.visualstudio.com/vs/visual-studio-express/>`_
or higher that matches the version that was used to compile your Python
interpreter. For official distributions these are VS 2008 (Python 2.7),
or higher that matches the version that was used to compile your Python
interpreter. For official distributions these are VS 2008 (Python 2.7),
VS 2010 (Python 3.4) and VS 2015 (Python 3.5).
Run tests
=========
spaCy comes with an extensive test suite. First, find out where spaCy is
installed:
spaCy comes with an `extensive test suite <spacy/tests>`_. First, find out where
spaCy is installed:
.. code:: bash
python -c "import os; import spacy; print(os.path.dirname(spacy.__file__))"
Then run ``pytest`` on that directory. The flags ``--vectors``, ``--slow``
Then run ``pytest`` on that directory. The flags ``--vectors``, ``--slow``
and ``--model`` are optional and enable additional tests:
.. code:: bash
# make sure you are using recent pytest version
python -m pip install -U pytest
python -m pytest <spacy-directory> --vectors --model --slow
Download model to custom location
=================================
You can specify where ``spacy.en.download`` and ``spacy.de.download`` download the language model
to using the ``--data-path`` or ``-d`` argument:
.. code:: bash
python -m spacy.en.download all --data-path /some/dir
If you choose to download to a custom location, you will need to tell spaCy where to load the model
from in order to use it. You can do this either by calling ``spacy.util.set_data_path()`` before
calling ``spacy.load()``, or by passing a ``path`` argument to the ``spacy.en.English`` or
``spacy.de.German`` constructors.
Changelog
=========
@ -473,10 +500,10 @@ Thanks to `@daylen <https://github.com/daylen>`_, `@RahulKulhari <https://github
2016-05-05 `v0.100.7 <https://github.com/explosion/spaCy/releases/tag/0.100.7>`_: *German!*
-------------------------------------------------------------------------------------------
spaCy finally supports another language, in addition to English. We're lucky
to have Wolfgang Seeker on the team, and the new German model is just the
beginning. Now that there are multiple languages, you should consider loading
spaCy via the ``load()`` function. This function also makes it easier to load extra
spaCy finally supports another language, in addition to English. We're lucky
to have Wolfgang Seeker on the team, and the new German model is just the
beginning. Now that there are multiple languages, you should consider loading
spaCy via the ``load()`` function. This function also makes it easier to load extra
word vector data for English:
.. code:: python
@ -484,25 +511,25 @@ word vector data for English:
import spacy
en_nlp = spacy.load('en', vectors='en_glove_cc_300_1m_vectors')
de_nlp = spacy.load('de')
To support use of the load function, there are also two new helper functions:
``spacy.get_lang_class`` and ``spacy.set_lang_class``. Once the German model is
To support use of the load function, there are also two new helper functions:
``spacy.get_lang_class`` and ``spacy.set_lang_class``. Once the German model is
loaded, you can use it just like the English model:
.. code:: python
doc = nlp(u'''Wikipedia ist ein Projekt zum Aufbau einer Enzyklopädie aus freien Inhalten, zu dem du mit deinem Wissen beitragen kannst. Seit Mai 2001 sind 1.936.257 Artikel in deutscher Sprache entstanden.''')
for sent in doc.sents:
print(sent.root.text, sent.root.n_lefts, sent.root.n_rights)
# (u'ist', 1, 2)
# (u'sind', 1, 3)
The German model provides tokenization, POS tagging, sentence boundary detection,
syntactic dependency parsing, recognition of organisation, location and person
entities, and word vector representations trained on a mix of open subtitles and
Wikipedia data. It doesn't yet provide lemmatisation or morphological analysis,
The German model provides tokenization, POS tagging, sentence boundary detection,
syntactic dependency parsing, recognition of organisation, location and person
entities, and word vector representations trained on a mix of open subtitles and
Wikipedia data. It doesn't yet provide lemmatisation or morphological analysis,
and it doesn't yet recognise numeric entities such as numbers and dates.
**Bugfixes**
@ -518,7 +545,7 @@ and it doesn't yet recognise numeric entities such as numbers and dates.
2016-03-08 `v0.100.6 <https://github.com/explosion/spaCy/releases/tag/0.100.6>`_: *Add support for GloVe vectors*
-----------------------------------------------------------------------------------------------------------------
This release offers improved support for replacing the word vectors used by spaCy.
This release offers improved support for replacing the word vectors used by spaCy.
To install Stanford's GloVe vectors, trained on the Common Crawl, just run:
.. code:: bash
@ -527,8 +554,8 @@ To install Stanford's GloVe vectors, trained on the Common Crawl, just run:
To reduce memory usage and loading time, we've trimmed the vocabulary down to 1m entries.
This release also integrates all the code necessary for German parsing. A German model
will be released shortly. To assist in multi-lingual processing, we've added a ``load()``
This release also integrates all the code necessary for German parsing. A German model
will be released shortly. To assist in multi-lingual processing, we've added a ``load()``
function. To load the English model with the GloVe vectors:
.. code:: python

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@ -0,0 +1 @@
# coding: utf-8

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@ -0,0 +1,40 @@
# encoding: utf8
from __future__ import unicode_literals
import pytest
TESTCASES = []
PUNCTUATION_TESTS = [
(u'আমি বাংলায় গান গাই!', [u'আমি', u'বাংলায়', u'গান', u'গাই', u'!']),
(u'আমি বাংলায় কথা কই।', [u'আমি', u'বাংলায়', u'কথা', u'কই', u'']),
(u'বসুন্ধরা জনসম্মুখে দোষ স্বীকার করলো না?', [u'বসুন্ধরা', u'জনসম্মুখে', u'দোষ', u'স্বীকার', u'করলো', u'না', u'?']),
(u'টাকা থাকলে কি না হয়!', [u'টাকা', u'থাকলে', u'কি', u'না', u'হয়', u'!']),
]
ABBREVIATIONS = [
(u'ডঃ খালেদ বললেন ঢাকায় ৩৫ ডিগ্রি সে.।', [u'ডঃ', u'খালেদ', u'বললেন', u'ঢাকায়', u'৩৫', u'ডিগ্রি', u'সে.', u''])
]
TESTCASES.extend(PUNCTUATION_TESTS)
TESTCASES.extend(ABBREVIATIONS)
@pytest.mark.parametrize('text,expected_tokens', TESTCASES)
def test_tokenizer_handles_testcases(bn_tokenizer, text, expected_tokens):
tokens = bn_tokenizer(text)
token_list = [token.text for token in tokens if not token.is_space]
assert expected_tokens == token_list
def test_tokenizer_handles_long_text(bn_tokenizer):
text = u"""নর্থ সাউথ বিশ্ববিদ্যালয়ে সারাবছর কোন না কোন বিষয়ে গবেষণা চলতেই থাকে। \
অভি ি রগণ ি ি িি গবষণ রকল কর, \
মধ রয বট ি ি ি আরিিি ইনি \
এসকল রকল কর যম ি যথ পরি ইজড হওয সমভব \
আর গবষণ িরক ি অনকখি! \
কন হও, গবষক ি লপ - নর উথ ইউনিিি রতি ি রয \
নর উথ অসরণ কমিউনিি দর আমনরণ"""
tokens = bn_tokenizer(text)
assert len(tokens) == 84

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@ -11,6 +11,7 @@ from ..nl import Dutch
from ..sv import Swedish
from ..hu import Hungarian
from ..fi import Finnish
from ..bn import Bengali
from ..tokens import Doc
from ..strings import StringStore
from ..lemmatizer import Lemmatizer
@ -24,7 +25,7 @@ import pytest
LANGUAGES = [English, German, Spanish, Italian, French, Portuguese, Dutch,
Swedish, Hungarian, Finnish]
Swedish, Hungarian, Finnish, Bengali]
@pytest.fixture(params=LANGUAGES)
@ -73,6 +74,11 @@ def sv_tokenizer():
return Swedish.Defaults.create_tokenizer()
@pytest.fixture
def bn_tokenizer():
return Bengali.Defaults.create_tokenizer()
@pytest.fixture
def stringstore():
return StringStore()

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@ -31,7 +31,7 @@ def test_tokenizer_handles_punct(tokenizer):
def test_tokenizer_handles_digits(tokenizer):
exceptions = ["hu"]
exceptions = ["hu", "bn"]
text = "Lorem ipsum: 1984."
tokens = tokenizer(text)

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@ -138,7 +138,9 @@ p
+code.
import spacy
import random
from spacy.gold import GoldParse
from spacy.language import EntityRecognizer
train_data = [
('Who is Chaka Khan?', [(7, 17, 'PERSON')]),

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@ -5,16 +5,46 @@ include ../../_includes/_mixins
p
| spaCy is compatible with #[strong 64-bit CPython 2.6+&#8725;3.3+] and
| runs on #[strong Unix/Linux], #[strong macOS/OS X] and
| #[strong Windows]. The latest spaCy releases are currently only
| available as source packages over
| #[+a("https://pypi.python.org/pypi/spacy") pip]. Installation requires a
| working build environment. See notes on
| #[strong Windows]. The latest spaCy releases are
| available over #[+a("https://pypi.python.org/pypi/spacy") pip] (source
| packages only) and #[+a("https://anaconda.org/conda-forge/spacy") conda].
| Installation requires a working build environment. See notes on
| #[a(href="#source-ubuntu") Ubuntu], #[a(href="#source-osx") macOS/OS X]
| and #[a(href="#source-windows") Windows] for details.
+h(2, "pip") pip
p Using pip, spaCy releases are currently only available as source packages.
+code(false, "bash").
pip install -U spacy
p
| When using pip it is generally recommended to install packages in a
| #[code virtualenv] to avoid modifying system state:
+code(false, "bash").
virtualenv .env
source .env/bin/activate
pip install spacy
+h(2, "conda") conda
p
| Thanks to our great community, we've finally re-added conda support. You
| can now install spaCy via #[code conda-forge]:
+code(false, "bash").
conda config --add channels conda-forge
conda install spacy
p
| For the feedstock including the build recipe and configuration, check out
| #[+a("https://github.com/conda-forge/spacy-feedstock") this repository].
| Improvements and pull requests to the recipe and setup are always appreciated.
+h(2, "models") Download models
p
| After installation you need to download a language model. Models for
| English (#[code en]) and German (#[code de]) are available.
@ -36,18 +66,49 @@ p
# Check whether the model was successfully installed
python -c "import spacy; spacy.load('en'); print('OK')"
p The download command fetches about 1 GB of data which it installs within the #[code spacy] package directory.
p
| The download command fetches about 1 GB of data which it
| installs within the #[code spacy] package directory.
+h(3, "custom-location") Download model to custom location
p
| You can specify where #[code spacy.en.download] and
| #[code spacy.de.download] download the language model to using the
| #[code --data-path] or #[code -d] argument:
+code(false, "bash").
python -m spacy.en.download all --data-path /some/dir
p
| If you choose to download to a custom location, you will need to tell
| spaCy where to load the model from in order to use it. You can do this
| either by calling #[code spacy.util.set_data_path()] before calling
| #[code spacy.load()], or by passing a #[code path] argument to the
| #[code spacy.en.English] or #[code spacy.de.German] constructors.
+h(3, "models-manual") Download models manually
p
| As of v1.6, the models and word vectors are also available as direct
| downloads from GitHub, attached to the #[+a(gh("spaCy") + "/releases") releases] as #[code .tar.gz] archives.
p
| To install the models manually, first find the default data path. You can
| use #[code spacy.util.get_data_path()] to find the directory where spaCy
| will look for its models, or change the default data path with
| #[code spacy.util.set_data_path()]. Then simply unpack the archive and
| place the contained folder in that directory. You can now load the models
| via #[code spacy.load()].
+h(2, "source") Compile from source
p
| The other way to install spaCy is to clone its
| #[+a(gh("spaCy")) GitHub repository] and build it from source. That is
| the common way if you want to make changes to the code base.
p
| You'll need to make sure that you have a development enviroment
| consisting of a Python distribution including header files, a compiler,
| the common way if you want to make changes to the code base. You'll need to
| make sure that you have a development enviroment consisting of a Python
| distribution including header files, a compiler,
| #[+a("https://pip.pypa.io/en/latest/installing/") pip],
| #[+a("https://virtualenv.pypa.io/") virtualenv] and
| #[+a("https://git-scm.com") git] installed. The compiler part is the
@ -55,6 +116,50 @@ p
| #[a(href="#source-ubuntu") Ubuntu], #[a(href="#source-osx") OS X] and
| #[a(href="#source-windows") Windows] for details.
+code(false, "bash").
# make sure you are using recent pip/virtualenv versions
python -m pip install -U pip virtualenv
git clone #{gh("spaCy")}
cd spaCy
virtualenv .env
source .env/bin/activate
pip install -r requirements.txt
pip install -e .
p
| Compared to regular install via pip, #[+a(gh("spaCy", "requirements.txt")) requirements.txt]
| additionally installs developer dependencies such as Cython.
p
| Instead of the above verbose commands, you can also use the following
| #[+a("http://www.fabfile.org/") Fabric] commands:
+table(["Command", "Description"])
+row
+cell #[code fab env]
+cell Create #[code virtualenv] and delete previous one, if it exists.
+row
+cell #[code fab make]
+cell Compile the source.
+row
+cell #[code fab clean]
+cell Remove compiled objects, including the generated C++.
+row
+cell #[code fab test]
+cell Run basic tests, aborting after first failure.
p
| All commands assume that your #[code virtualenv] is located in a
| directory #[code .env]. If you're using a different directory, you can
| change it via the environment variable #[code VENV_DIR], for example:
+code(false, "bash").
VENV_DIR=".custom-env" fab clean make
+h(3, "source-ubuntu") Ubuntu
p Install system-level dependencies via #[code apt-get]:
@ -67,12 +172,8 @@ p Install system-level dependencies via #[code apt-get]:
p
| Install a recent version of #[+a("https://developer.apple.com/xcode/") XCode],
| including the so-called "Command Line Tools". macOS and OS X ship with
| Python and git preinstalled.
p
| To compile spaCy with multi-threading support on macOS / OS X,
| #[+a("https://github.com/explosion/spaCy/issues/267") see here].
| Python and git preinstalled. To compile spaCy with multi-threading support
| on macOS / OS X, #[+a("https://github.com/explosion/spaCy/issues/267") see here].
+h(3, "source-windows") Windows
@ -98,8 +199,8 @@ p
+h(2, "tests") Run tests
p
| spaCy comes with an extensive test suite. First, find out where spaCy is
| installed:
| spaCy comes with an #[+a(gh("spacy", "spacy/tests")) extensive test suite].
| First, find out where spaCy is installed:
+code(false, "bash").
python -c "import os; import spacy; print(os.path.dirname(spacy.__file__))"
@ -114,20 +215,3 @@ p
python -m pip install -U pytest
python -m pytest &lt;spacy-directory&gt; --vectors --model --slow
+h(2, "custom-location") Download model to custom location
p
| You can specify where #[code spacy.en.download] and
| #[code spacy.de.download] download the language model to using the
| #[code --data-path] or #[code -d] argument:
+code(false, "bash").
python -m spacy.en.download all --data-path /some/dir
p
| If you choose to download to a custom location, you will need to tell
| spaCy where to load the model from in order to use it. You can do this
| either by calling #[code spacy.util.set_data_path()] before calling
| #[code spacy.load()], or by passing a #[code path] argument to the
| #[code spacy.en.English] or #[code spacy.de.German] constructors.