Armenian language support (#5246)

* add Armenian language and test cases

* agreement submission

.github/contributors/YohannesDatasci.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).
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+## Contributor Details
+
+| Field                          | Entry                |
+|------------------------------- | -------------------- |
+| Name                           |     Yohannes         |
+| Company name (if applicable)   |                      |
+| Title or role (if applicable)  |                      |
+| Date                           |     2020-04-02       |
+| GitHub username                |   YohannesDatasci    |
+| Website (optional)             |                      |

spacy/lang/hy/__init__.py

@@ -0,0 +1,25 @@
+from .stop_words import STOP_WORDS
+from .lex_attrs import LEX_ATTRS
+from .tag_map import TAG_MAP
+
+
+from ...attrs import LANG
+from ...language import Language
+from ...tokens import Doc
+
+
+class ArmenianDefaults(Language.Defaults):
+    lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
+    lex_attr_getters[LANG] = lambda text: "hy"
+
+    lex_attr_getters.update(LEX_ATTRS)
+    stop_words = STOP_WORDS
+    tag_map = TAG_MAP
+
+
+class Armenian(Language):
+    lang = "hy"
+    Defaults = ArmenianDefaults
+
+
+__all__ = ["Armenian"]

spacy/lang/hy/examples.py

@@ -0,0 +1,16 @@
+from __future__ import unicode_literals
+
+
+"""
+Example sentences to test spaCy and its language models.
+>>> from spacy.lang.hy.examples import sentences
+>>> docs = nlp.pipe(sentences)
+"""
+
+
+sentences = [
+    "Լոնդոնը Միացյալ Թագավորության մեծ քաղաք է։",
+    "Ո՞վ է Ֆրանսիայի նախագահը։",
+    "Որն է Միացյալ Նահանգների մայրաքաղաքը։",
+    "Ե՞րբ է ծնվել Բարաք Օբաման։",
+]

spacy/lang/hy/lex_attrs.py

@@ -0,0 +1,58 @@
+from __future__ import unicode_literals
+
+from ...attrs import LIKE_NUM
+
+
+_num_words = [
+    "զրօ",
+    "մէկ",
+    "երկու",
+    "երեք",
+    "չորս",
+    "հինգ",
+    "վեց",
+    "յոթ",
+    "ութ",
+    "ինը",
+    "տասը",
+    "տասնմեկ",
+    "տասներկու",
+    "տասն­երեք",
+    "տասն­չորս",
+    "տասն­հինգ",
+    "տասն­վեց",
+    "տասն­յոթ",
+    "տասն­ութ",
+    "տասն­ինը",
+    "քսան" "երեսուն",
+    "քառասուն",
+    "հիսուն",
+    "վաթցսուն",
+    "յոթանասուն",
+    "ութսուն",
+    "ինիսուն",
+    "հարյուր",
+    "հազար",
+    "միլիոն",
+    "միլիարդ",
+    "տրիլիոն",
+    "քվինտիլիոն",
+]
+
+
+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}

spacy/lang/hy/stop_words.py

@@ -0,0 +1,110 @@
+from __future__ import unicode_literals
+
+
+STOP_WORDS = set(
+    """
+նա
+ողջը
+այստեղ
+ենք
+նա
+էիր
+որպես
+ուրիշ
+բոլորը
+այն
+այլ
+նույնչափ
+էի
+մի
+և
+ողջ
+ես
+ոմն
+հետ
+նրանք
+ամենքը
+ըստ
+ինչ-ինչ
+այսպես
+համայն
+մի
+նաև
+նույնքան
+դա
+ովևէ
+համար
+այնտեղ
+էին
+որոնք
+սույն
+ինչ-որ
+ամենը
+նույնպիսի
+ու
+իր
+որոշ
+միևնույն
+ի
+այնպիսի
+մենք
+ամեն ոք
+նույն
+երբևէ
+այն
+որևէ
+ին
+այդպես
+նրա
+որը
+վրա
+դու
+էինք
+այդպիսի
+էիք
+յուրաքանչյուրը
+եմ
+պիտի
+այդ
+ամբողջը
+հետո
+եք
+ամեն
+այլ
+կամ
+այսքան
+որ
+այնպես
+այսինչ
+բոլոր
+է
+մեկնումեկը
+այդչափ
+այնքան
+ամբողջ
+երբևիցե
+այնչափ
+ամենայն
+մյուս
+այնինչ
+իսկ
+այդտեղ
+այս
+սա
+են
+ամեն ինչ
+որևիցե
+ում
+մեկը
+այդ
+դուք
+այսչափ
+այդքան
+այսպիսի
+էր
+յուրաքանչյուր
+այս
+մեջ
+թ	
+""".split()
+)

spacy/tests/conftest.py

@@ -234,3 +234,7 @@ def yo_tokenizer():
 def zh_tokenizer():
     pytest.importorskip("jieba")
     return get_lang_class("zh").Defaults.create_tokenizer()
+
+@pytest.fixture(scope="session")
+def hy_tokenizer():
+    return get_lang_class("hy").Defaults.create_tokenizer()

spacy/tests/lang/hy/test_text.py

@@ -0,0 +1,10 @@
+from __future__ import unicode_literals
+
+import pytest
+from spacy.lang.hy.lex_attrs import like_num
+
+
+@pytest.mark.parametrize("word", ["հիսուն"])
+def test_hy_lex_attrs_capitals(word):
+    assert like_num(word)
+    assert like_num(word.upper())

spacy/tests/lang/hy/test_tokenizer.py

@@ -0,0 +1,47 @@
+from __future__ import unicode_literals
+
+import pytest
+
+
+# TODO add test cases with valid punctuation signs.
+
+hy_tokenize_text_test = [
+    (
+        "Մետաղագիտությունը պայմանականորեն բաժանվում է տեսականի և կիրառականի (տեխնիկական)",
+        [
+            "Մետաղագիտությունը",
+            "պայմանականորեն",
+            "բաժանվում",
+            "է",
+            "տեսականի",
+            "և",
+            "կիրառականի",
+            "(",
+            "տեխնիկական",
+            ")",
+        ],
+    ),
+    (
+        "Գետաբերանը գտնվում է Օմոլոնա գետի ձախ ափից 726 կմ հեռավորության վրա",
+        [
+            "Գետաբերանը",
+            "գտնվում",
+            "է",
+            "Օմոլոնա",
+            "գետի",
+            "ձախ",
+            "ափից",
+            "726",
+            "կմ",
+            "հեռավորության",
+            "վրա",
+        ],
+    ),
+]
+
+
+@pytest.mark.parametrize("text,expected_tokens", hy_tokenize_text_test)
+def test_ga_tokenizer_handles_exception_cases(hy_tokenizer, text, expected_tokens):
+    tokens = hy_tokenizer(text)
+    token_list = [token.text for token in tokens if not token.is_space]
+    assert expected_tokens == token_list