Swedish like_num (#5371)

* Sign contributor agreement.

* Add like_num functionality to Swedish.

* Update spacy/tests/lang/sv/test_lex_attrs.py

Co-Authored-By: Sofie Van Landeghem <svlandeg@users.noreply.github.com>

* Update contributor agreement

Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
This commit is contained in:
Samuel Rodríguez Medina 2020-04-29 21:25:22 +02:00 committed by GitHub
parent 74da669326
commit 8602daba85
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4 changed files with 203 additions and 0 deletions

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.github/contributors/vondersam.md vendored Normal file
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# spaCy contributor agreement
This spaCy Contributor Agreement (**"SCA"**) is based on the
[Oracle Contributor Agreement](http://www.oracle.com/technetwork/oca-405177.pdf).
The SCA applies to any contribution that you make to any product or project
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If you agree to be bound by these terms, fill in the information requested
below and include the filled-in version with your first pull request, under the
folder [`.github/contributors/`](/.github/contributors/). The name of the file
should be your GitHub username, with the extension `.md`. For example, the user
example_user would create the file `.github/contributors/example_user.md`.
Read this agreement carefully before signing. These terms and conditions
constitute a binding legal agreement.
## Contributor Agreement
1. The term "contribution" or "contributed materials" means any source code,
object code, patch, tool, sample, graphic, specification, manual,
documentation, or any other material posted or submitted by you to the project.
2. With respect to any worldwide copyrights, or copyright applications and
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* you hereby assign to us joint ownership, and to the extent that such
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* Each contribution that you submit is and shall be an original work of
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U.S. Federal law. Any choice of law rules will not apply.
7. Please place an “x” on one of the applicable statement below. Please do NOT
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* [x] I am signing on behalf of myself as an individual and no other person
or entity, including my employer, has or will have rights with respect to my
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* [ ] I am signing on behalf of my employer or a legal entity and I have the
actual authority to contractually bind that entity.
## Contributor Details
| Field | Entry |
|------------------------------- | ------------------------|
| Name | Samuel Rodríguez Medina |
| Company name (if applicable) | |
| Title or role (if applicable) | Computational linguist |
| Date | 28 April 2020 |
| GitHub username | vondersam |
| Website (optional) | |

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@ -4,6 +4,7 @@ from __future__ import unicode_literals
from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
from .tag_map import TAG_MAP from .tag_map import TAG_MAP
from .stop_words import STOP_WORDS from .stop_words import STOP_WORDS
from .lex_attrs import LEX_ATTRS
from .morph_rules import MORPH_RULES from .morph_rules import MORPH_RULES
# Punctuation stolen from Danish # Punctuation stolen from Danish
@ -19,6 +20,7 @@ from .syntax_iterators import SYNTAX_ITERATORS
class SwedishDefaults(Language.Defaults): class SwedishDefaults(Language.Defaults):
lex_attr_getters = dict(Language.Defaults.lex_attr_getters) lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
lex_attr_getters.update(LEX_ATTRS)
lex_attr_getters[LANG] = lambda text: "sv" lex_attr_getters[LANG] = lambda text: "sv"
lex_attr_getters[NORM] = add_lookups( lex_attr_getters[NORM] = add_lookups(
Language.Defaults.lex_attr_getters[NORM], BASE_NORMS Language.Defaults.lex_attr_getters[NORM], BASE_NORMS

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# coding: utf8
from __future__ import unicode_literals
from ...attrs import LIKE_NUM
_num_words = [
"noll",
"en",
"ett",
"två",
"tre",
"fyra",
"fem",
"sex",
"sju",
"åtta",
"nio",
"tio",
"elva",
"tolv",
"tretton",
"fjorton",
"femton",
"sexton",
"sjutton",
"arton",
"nitton",
"tjugo",
"trettio",
"fyrtio",
"femtio",
"sextio",
"sjuttio",
"åttio",
"nittio",
"hundra",
"tusen",
"miljon",
"miljard",
"biljon",
"biljard",
"kvadriljon"
]
def like_num(text):
if text.startswith(("+", "-", "±", "~")):
text = text[1:]
text = text.replace(",", "").replace(".", "")
if text.isdigit():
return True
if text.count("/") == 1:
num, denom = text.split("/")
if num.isdigit() and denom.isdigit():
return True
if text.lower() in _num_words:
return True
return False
LEX_ATTRS = {LIKE_NUM: like_num}

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# coding: utf-8
from __future__ import unicode_literals
import pytest
from spacy.lang.sv.lex_attrs import like_num
@pytest.mark.parametrize(
"text,match",
[
("10", True),
("1", True),
("10.000", True),
("10.00", True),
("999,0", True),
("en", True),
("två", True),
("miljard", True),
("hund", False),
(",", False),
("1/2", True),
],
)
def test_lex_attrs_like_number(sv_tokenizer, text, match):
tokens = sv_tokenizer(text)
assert len(tokens) == 1
assert tokens[0].like_num == match
@pytest.mark.parametrize("word", ["elva"])
def test_sv_lex_attrs_capitals(word):
assert like_num(word)
assert like_num(word.upper())