Azerbaijani language added (#7911)

.github/contributors/sevdimali.md

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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
+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
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+**"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
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+
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+constitute a binding legal agreement.
+
+## Contributor Agreement
+
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+    actual authority to contractually bind that entity.
+
+## Contributor Details
+
+| Field                          | Entry                |
+|------------------------------- | -------------------- |
+| Name                           | Sevdimali            |
+| Company name (if applicable)   |                      |
+| Title or role (if applicable)  |                      |
+| Date                           | 10/4/2021            |
+| GitHub username                | sevdimali            |
+| Website (optional)             | https://sevdimali.me |

spacy/lang/az/__init__.py

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+from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS, TOKEN_MATCH
+from .stop_words import STOP_WORDS
+from .syntax_iterators import SYNTAX_ITERATORS
+from .lex_attrs import LEX_ATTRS
+from ...language import Language
+
+
+class AzerbaijaniDefaults(Language.Defaults):
+    tokenizer_exceptions = TOKENIZER_EXCEPTIONS
+    lex_attr_getters = LEX_ATTRS
+    stop_words = STOP_WORDS
+    token_match = TOKEN_MATCH
+    syntax_iterators = SYNTAX_ITERATORS
+
+
+class Azerbaijani(Language):
+    lang = "az"
+    Defaults = AzerbaijaniDefaults
+
+
+__all__ = ["Azerbaijani"]

spacy/lang/az/examples.py

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+"""
+Example sentences to test spaCy and its language models.
+>>> from spacy.lang.az.examples import sentences
+>>> docs = nlp.pipe(sentences)
+"""
+
+
+sentences = [
+    "Bu bir cümlədir.",
+    "Necəsən?",
+    "Qarabağ ordeni vətən müharibəsində qələbə münasibəti ilə təsis edilmişdir.",
+    "Məktəbimizə Bakıdan bir tarix müəllimi gəlmişdi.",
+    "Atılan növbəti mərmilər lap yaxınlıqda partladı.",
+    "Sinqapur koronavirus baxımından ən təhlükəsiz ölkələr sırasındadır.",
+    "Marsda ilk sınaq uçuşu həyata keçirilib.",
+    "SSRİ dağılandan bəri 5 sahil dövləti Xəzərin statusunu müəyyən edə bilməyiblər.",
+    "Videoda beyninə xüsusi çip yerləşdirilmiş meymun əks olunub.",
+]

spacy/lang/az/lex_attrs.py

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+from ...attrs import LIKE_NUM
+
+
+# Eleven, twelve etc. are written separate: on bir, on iki
+
+_num_words = [
+    "bir",
+    "iki",
+    "üç",
+    "dörd",
+    "beş",
+    "altı",
+    "yeddi",
+    "səkkiz",
+    "doqquz",
+    "on",
+    "iyirmi",
+    "otuz",
+    "qırx",
+    "əlli",
+    "altmış",
+    "yetmiş",
+    "səksən",
+    "doxsan",
+    "yüz",
+    "min",
+    "milyon",
+    "milyard",
+    "trilyon",
+    "kvadrilyon",
+    "kentilyon",
+]
+
+
+_ordinal_words = [
+    "birinci",
+    "ikinci",
+    "üçüncü",
+    "dördüncü",
+    "beşinci",
+    "altıncı",
+    "yedinci",
+    "səkkizinci",
+    "doqquzuncu",
+    "onuncu",
+    "iyirminci",
+    "otuzuncu",
+    "qırxıncı",
+    "əllinci",
+    "altmışıncı",
+    "yetmişinci",
+    "səksəninci",
+    "doxsanıncı",
+    "yüzüncü",
+    "mininci",
+    "milyonuncu",
+    "milyardıncı",
+    "trilyonuncu",
+    "kvadrilyonuncu",
+    "kentilyonuncu",
+]
+
+_ordinal_endings = ("inci", "ıncı", "nci", "ncı", "uncu", "üncü")
+
+
+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
+    text_lower = text.lower()
+    # Check cardinal number
+    if text_lower in _num_words:
+        return True
+    # Check ordinal number
+    if text_lower in _ordinal_words:
+        return True
+    if text_lower.endswith(_ordinal_endings):
+        if text_lower[:-3].isdigit() or text_lower[:-4].isdigit():
+            return True
+    return False
+
+
+LEX_ATTRS = {LIKE_NUM: like_num}

spacy/lang/az/stop_words.py

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+# Source: https://github.com/eliasdabbas/advertools/blob/master/advertools/stopwords.py
+STOP_WORDS = set(
+    """
+amma
+arasında
+artıq
+ay
+az
+bax
+belə
+beş
+bilər
+bir
+biraz
+biri
+birşey
+biz
+bizim
+bizlər
+bu
+buna
+bundan
+bunların
+bunu
+bunun
+buradan
+bütün
+bəli
+bəlkə
+bəy
+bəzi
+bəzən
+daha
+dedi
+deyil
+dir
+düz
+də
+dək
+dən
+dəqiqə
+edir
+edən
+elə
+et
+etdi
+etmə
+etmək
+faiz
+gilə
+görə
+ha
+haqqında
+harada
+heç
+hə
+həm
+həmin
+həmişə
+hər
+idi
+il
+ildə
+ilk
+ilə
+in
+indi
+istifadə
+isə
+ki
+kim
+kimi
+kimə
+lakin
+lap
+mirşey
+məhz
+mən
+mənə
+niyə
+nə
+nəhayət
+o
+obirisi
+of
+olan
+olar
+olaraq
+oldu
+olduğu
+olmadı
+olmaz
+olmuşdur
+olsun
+olur
+on
+ona
+ondan
+onlar
+onlardan
+onların
+onsuzda
+onu
+onun
+oradan
+qarşı
+qədər
+saat
+sadəcə
+saniyə
+siz
+sizin
+sizlər
+sonra
+səhv
+sən
+sənin
+sənə
+təəssüf
+var
+və
+xan
+xanım
+xeyr
+ya
+yalnız
+yaxşı
+yeddi
+yenə
+yox
+yoxdur
+yoxsa
+yəni
+zaman
+çox
+çünki
+öz
+özü
+üçün
+əgər
+əlbəttə
+ən
+əslində
+""".split()
+)