Adding support for Yoruba Language (#4614)

* Adding Support for Yoruba

* test text

* Updated test string.

* Fixing encoding declaration.

* Adding encoding to stop_words.py

* Added contributor agreement and removed iranlowo.

* Added removed test files and removed iranlowo to keep project bare.

* Returned CONTRIBUTING.md to default state.

* Added delted conftest entries

* Tidy up and auto-format

* Revert CONTRIBUTING.md

Co-authored-by: Ines Montani <ines@ines.io>

.github/contributors/Olamyy.md

@@ -0,0 +1,106 @@
+# 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
+managed by us (the **"project"**), and sets out the intellectual property rights
+you grant to us in the contributed materials. The term **"us"** shall mean
+[ExplosionAI GmbH](https://explosion.ai/legal). The term
+**"you"** shall mean the person or entity identified below.
+
+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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+    copyrights. This includes, at our option, the right to sublicense these same
+    rights to third parties through multiple levels of sublicensees or other
+    licensing arrangements;
+
+    * you agree that each of us can do all things in relation to your
+    contribution as if each of us were the sole owners, and if one of us makes
+    a derivative work of your contribution, the one who makes the derivative
+    work (or has it made will be the sole owner of that derivative work;
+
+    * you agree that you will not assert any moral rights in your contribution
+    against us, our licensees or transferees;
+
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+    exercise all ownership rights associated with it; and
+
+    * you agree that neither of us has any duty to consult with, obtain the
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+
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+    * at our option, to sublicense these same rights to third parties through
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+
+5. You covenant, represent, warrant and agree that:
+
+    * Each contribution that you submit is and shall be an original work of
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+
+    * to the best of your knowledge, each contribution will not violate any
+    third party's copyrights, trademarks, patents, or other intellectual
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+
+    * each contribution shall be in compliance with U.S. export control laws and
+    other applicable export and import laws. You agree to notify us if you
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+    participation in the project, including the fact that you have signed the SCA.
+
+6. This SCA is governed by the laws of the State of California and applicable
+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
+mark both statements:
+
+    * [ 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
+    contributions.
+
+    * [ ] 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                           |    Olamilekan Wahab  |
+| Company name (if applicable)   |                      |
+| Title or role (if applicable)  |                      |
+| Date                           |    8/11/2019         |
+| GitHub username                |    Olamyy            |
+| Website (optional)             |                      |

spacy/lang/yo/__init__.py

@@ -0,0 +1,24 @@
+# coding: utf8
+from __future__ import unicode_literals
+
+from .stop_words import STOP_WORDS
+from .lex_attrs import LEX_ATTRS
+from ..tokenizer_exceptions import BASE_EXCEPTIONS
+from ...language import Language
+from ...attrs import LANG
+
+
+class YorubaDefaults(Language.Defaults):
+    lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
+    lex_attr_getters.update(LEX_ATTRS)
+    lex_attr_getters[LANG] = lambda text: "yo"
+    stop_words = STOP_WORDS
+    tokenizer_exceptions = BASE_EXCEPTIONS
+
+
+class Yoruba(Language):
+    lang = "yo"
+    Defaults = YorubaDefaults
+
+
+__all__ = ["Yoruba"]

spacy/lang/yo/examples.py

@@ -0,0 +1,26 @@
+# coding: utf8
+from __future__ import unicode_literals
+
+
+"""
+Example sentences to test spaCy and its language models.
+
+>>> from spacy.lang.yo.examples import sentences
+>>> docs = nlp.pipe(sentences)
+"""
+
+# 1. https://yo.wikipedia.org/wiki/Wikipedia:%C3%80y%E1%BB%8Dk%C3%A0_p%C3%A0t%C3%A0k%C3%AC
+# 2.https://yo.wikipedia.org/wiki/Oj%C3%BAew%C3%A9_%C3%80k%E1%BB%8D%CC%81k%E1%BB%8D%CC%81
+# 3. https://www.bbc.com/yoruba
+
+sentences = [
+    "Ìjọba Tanzania fi Ajìjàgbara Ọmọ Orílẹ̀-èdèe Uganda sí àtìmọ́lé",
+    "Olúṣẹ́gun Ọbásanjọ́, tí ó jẹ́ Ààrẹ ìjọba ológun àná (láti ọdún 1976 sí 1979), tí ó sì tún ṣe  Ààrẹ ìjọba alágbádá tí ìbò gbé wọlé (ní ọdún 1999 sí 2007), kúndùn láti máa bu ẹnu àtẹ́ lu àwọn "
+    "ètò ìjọba Ààrẹ orílẹ̀-èdè Nàìjíríà tí ó jẹ tẹ̀lé e.",
+    "Akin Alabi rán ẹnu mọ́ agbárá Adárí Òsìsẹ̀, àwọn ọmọ Nàìjíríà dẹnu bò ó",
+    "Ta ló leè dúró s'ẹ́gbẹ̀ẹ́ Okunnu láì rẹ́rìín?",
+    "Dídarapọ̀ mọ́n ìpolongo",
+    "Bi a se n so, omobinrin ni oruko ni ojo kejo bee naa ni omokunrin ni oruko ni ojo kesan.",
+    "Oríṣìíríṣìí nǹkan ló le yọrí sí orúkọ tí a sọ ọmọ",
+    "Gbogbo won ni won ni oriki ti won",
+]

spacy/lang/yo/lex_attrs.py

@@ -0,0 +1,115 @@
+# coding: utf8
+from __future__ import unicode_literals
+
+import unicodedata
+
+from ...attrs import LIKE_NUM
+
+
+_num_words = [
+    "ení",
+    "oókàn",
+    "ọ̀kanlá",
+    "ẹ́ẹdọ́gbọ̀n",
+    "àádọ́fà",
+    "ẹ̀walélúɡba",
+    "egbèje",
+    "ẹgbàárin",
+    "èjì",
+    "eéjì",
+    "èjìlá",
+    "ọgbọ̀n,",
+    "ọgọ́fà",
+    "ọ̀ọ́dúrún",
+    "ẹgbẹ̀jọ",
+    "ẹ̀ẹ́dẹ́ɡbàárùn",
+    "ẹ̀ta",
+    "ẹẹ́ta",
+    "ẹ̀talá",
+    "aárùndílogójì",
+    "àádóje",
+    "irinwó",
+    "ẹgbẹ̀sàn",
+    "ẹgbàárùn",
+    "ẹ̀rin",
+    "ẹẹ́rin",
+    "ẹ̀rinlá",
+    "ogójì",
+    "ogóje",
+    "ẹ̀ẹ́dẹ́gbẹ̀ta",
+    "ẹgbàá",
+    "ẹgbàájọ",
+    "àrún",
+    "aárùn",
+    "ẹ́ẹdógún",
+    "àádọ́ta",
+    "àádọ́jọ",
+    "ẹgbẹ̀ta",
+    "ẹgboókànlá",
+    "ẹgbàawǎ",
+    "ẹ̀fà",
+    "ẹẹ́fà",
+    "ẹẹ́rìndílógún",
+    "ọgọ́ta",
+    "ọgọ́jọ",
+    "ọ̀ọ́dẹ́gbẹ̀rin",
+    "ẹgbẹ́ẹdógún",
+    "ọkẹ́marun",
+    "èje",
+    "etàdílógún",
+    "àádọ́rin",
+    "àádọ́sán",
+    "ẹgbẹ̀rin",
+    "ẹgbàajì",
+    "ẹgbẹ̀ẹgbẹ̀rún",
+    "ẹ̀jọ",
+    "ẹẹ́jọ",
+    "eéjìdílógún",
+    "ọgọ́rin",
+    "ọgọsàn",
+    "ẹ̀ẹ́dẹ́gbẹ̀rún",
+    "ẹgbẹ́ẹdọ́gbọ̀n",
+    "ọgọ́rùn ọkẹ́",
+    "ẹ̀sán",
+    "ẹẹ́sàn",
+    "oókàndílógún",
+    "àádọ́rùn",
+    "ẹ̀wadilúɡba",
+    "ẹgbẹ̀rún",
+    "ẹgbàáta",
+    "ẹ̀wá",
+    "ẹẹ́wàá",
+    "ogún",
+    "ọgọ́rùn",
+    "igba",
+    "ẹgbẹ̀fà",
+    "ẹ̀ẹ́dẹ́ɡbarin",
+]
+
+
+def strip_accents_text(text):
+    """
+    Converts the string to NFD, separates & returns only the base characters
+    :param text:
+    :return: input string without diacritic adornments on base characters
+    """
+    return "".join(
+        c for c in unicodedata.normalize("NFD", text) if unicodedata.category(c) != "Mn"
+    )
+
+
+def like_num(text):
+    text = text.replace(",", "").replace(".", "")
+    num_markers = ["dí", "dọ", "lé", "dín", "di", "din", "le", "do"]
+    if any(mark in text for mark in num_markers):
+        return True
+    text = strip_accents_text(text)
+    _num_words_stripped = [strip_accents_text(num) for num in _num_words]
+    if text.isdigit():
+        return True
+    if text in _num_words_stripped or text.lower() in _num_words_stripped:
+        return True
+    return False
+
+
+LEX_ATTRS = {LIKE_NUM: like_num}

spacy/lang/yo/stop_words.py

@@ -0,0 +1,12 @@
+# coding: utf8
+from __future__ import unicode_literals
+
+# stop words as whitespace-separated list.
+# Source: https://raw.githubusercontent.com/dohliam/more-stoplists/master/yo/yo.txt
+
+STOP_WORDS = set(
+    "a an b bá bí bẹ̀rẹ̀ d e f fún fẹ́ g gbogbo i inú j jù jẹ jẹ́ k kan kì kí kò "
+    "l láti lè lọ m mi mo máa mọ̀ n ni náà ní nígbà nítorí nǹkan o p padà pé "
+    "púpọ̀ pẹ̀lú r rẹ̀ s sì sí sínú t ti tí u w wà wá wọn wọ́n y yìí à àti àwọn á "
+    "è é ì í ò òun ó ù ú ń ńlá ǹ ̀ ́ ̣ ṣ ṣe ṣé ṣùgbọ́n ẹ ẹmọ́ ọ ọjọ́ ọ̀pọ̀lọpọ̀".split()
+)

spacy/tests/conftest.py

@@ -220,7 +220,13 @@ def ur_tokenizer():
     return get_lang_class("ur").Defaults.create_tokenizer()
 
   
+@pytest.fixture(scope="session")
+def yo_tokenizer():
+    return get_lang_class("yo").Defaults.create_tokenizer()
+
+  
 @pytest.fixture(scope="session")
 def zh_tokenizer():
     pytest.importorskip("jieba")
     return get_lang_class("zh").Defaults.create_tokenizer()
+

spacy/tests/lang/test_initialize.py

@@ -11,7 +11,7 @@ from spacy.util import get_lang_class
 LANGUAGES = ["af", "ar", "bg", "bn", "ca", "cs", "da", "de", "el", "en", "es",
              "et", "fa", "fi", "fr", "ga", "he", "hi", "hr", "hu", "id", "is",
              "it", "kn", "lt", "lv", "nb", "nl", "pl", "pt", "ro", "si", "sk",
-             "sl", "sq", "sr", "sv", "ta", "te", "tl", "tr", "tt", "ur"]
+             "sl", "sq", "sr", "sv", "ta", "te", "tl", "tr", "tt", "ur", 'yo']
 # fmt: on
 
 

spacy/tests/lang/yo/test_text.py

@@ -0,0 +1,32 @@
+# coding: utf8
+from __future__ import unicode_literals
+
+import pytest
+from spacy.lang.yo.lex_attrs import like_num
+
+
+def test_yo_tokenizer_handles_long_text(yo_tokenizer):
+    text = """Àwọn ọmọ ìlú tí wọ́n ń ṣàmúlò ayélujára ti bẹ̀rẹ̀ ìkọkúkọ sórí àwòrán ààrẹ Nkurunziza nínú ìfẹ̀hónúhàn pẹ̀lú àmì ìdámọ̀: Nkurunziza àti Burundi:
+        Ọmọ ilé ẹ̀kọ́ gíga ní ẹ̀wọ̀n fún kíkọ ìkọkúkọ sí orí àwòrán Ààrẹ .
+        Bí mo bá ṣe èyí ní Burundi , ó ṣe é ṣe kí a fi mí sí àtìmọ́lé
+        Ìjọba Burundi fi akẹ́kọ̀ọ́bìnrin sí àtìmọ́lé látàrí ẹ̀sùn ìkọkúkọ sí orí àwòrán ààrẹ. A túwíìtì àwòrán ìkọkúkọ wa ní ìbánikẹ́dùn ìṣẹ̀lẹ̀ náà.
+        Wọ́n ní kí a dán an wò, kí a kọ nǹkan sí orí àwòrán ààrẹ  mo sì ṣe bẹ́ẹ̀. Mo ní ìgbóyà wípé ẹnikẹ́ni kò ní mú mi níbí.
+        Ìfòfinlíle mú àtakò"""
+    tokens = yo_tokenizer(text)
+    assert len(tokens) == 121
+
+
+@pytest.mark.parametrize(
+    "text,match",
+    [("ení", True), ("ogun", True), ("mewadinlogun", True), ("ten", False)],
+)
+def test_lex_attrs_like_number(yo_tokenizer, text, match):
+    tokens = yo_tokenizer(text)
+    assert len(tokens) == 1
+    assert tokens[0].like_num == match
+
+
+@pytest.mark.parametrize("word", ["eji", "ejila", "ogun", "aárùn"])
+def test_yo_lex_attrs_capitals(word):
+    assert like_num(word)
+    assert like_num(word.upper())