spaCy/spacy/tests/lang/ur/test_prefix_suffix_infix.py

# coding: utf-8
from __future__ import unicode_literals

import pytest


@pytest.mark.parametrize("text", ["ہےں۔", "کیا۔"])
def test_contractions(ur_tokenizer, text):
    """Test specific Urdu punctuation character"""
    tokens = ur_tokenizer(text)
    assert len(tokens) == 2
Improve Italian & Urdu tokenization accuracy (#3228) ## Description 1. Added the same infix rule as in French (`d'une`, `j'ai`) for Italian (`c'è`, `l'ha`), bringing F-score on `it_isdt-ud-train.txt` from 96% to 99%. Added unit test to check this behaviour. 2. Added specific Urdu punctuation character as suffix, improving F-score on `ur_udtb-ud-train.txt` from 94% to 100%. Added unit test to check this behaviour. ### Types of change Enhancement of Italian & Urdu tokenization ## Checklist - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information. 2019-02-04 21:39:25 +00:00			`# coding: utf-8`
			`from __future__ import unicode_literals`

			`import pytest`


Tidy up and auto-format 2019-08-20 15:36:34 +00:00			`@pytest.mark.parametrize("text", ["ہےں۔", "کیا۔"])`
Improve Italian & Urdu tokenization accuracy (#3228) ## Description 1. Added the same infix rule as in French (`d'une`, `j'ai`) for Italian (`c'è`, `l'ha`), bringing F-score on `it_isdt-ud-train.txt` from 96% to 99%. Added unit test to check this behaviour. 2. Added specific Urdu punctuation character as suffix, improving F-score on `ur_udtb-ud-train.txt` from 94% to 100%. Added unit test to check this behaviour. ### Types of change Enhancement of Italian & Urdu tokenization ## Checklist - [x] I have submitted the spaCy Contributor Agreement. - [x] I ran the tests, and all new and existing tests passed. - [x] My changes don't require a change to the documentation, or if they do, I've added all required information. 2019-02-04 21:39:25 +00:00			`def test_contractions(ur_tokenizer, text):`
			`"""Test specific Urdu punctuation character"""`
			`tokens = ur_tokenizer(text)`
			`assert len(tokens) == 2`