Overwrites default getter for like_num in Spanish by adding _num_words and like_num to lex_attrs.py (#3810) (closes #3803))

* (#3803) Spanish like_num returning false for number-like token

* (#3803) Spanish like_num now returning True for number-like token

.github/contributors/munozbravo.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
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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
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+
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+
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+
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+## Contributor Details
+
+| Field                          | Entry                |
+|------------------------------- | -------------------- |
+| Name                           | Germán Muñoz |
+| Company name (if applicable)   |                      |
+| Title or role (if applicable)  |                      |
+| Date                           | 2019-06-01 |
+| GitHub username                | munozbravo |
+| Website (optional)             |                      |

spacy/lang/es/__init__.py

@@ -4,6 +4,7 @@ from __future__ import unicode_literals
 from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
 from .tag_map import TAG_MAP
 from .stop_words import STOP_WORDS
+from .lex_attrs import LEX_ATTRS
 from .lemmatizer import LOOKUP
 from .syntax_iterators import SYNTAX_ITERATORS
 
@@ -16,6 +17,7 @@ from ...util import update_exc, add_lookups
 
 class SpanishDefaults(Language.Defaults):
     lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
+    lex_attr_getters.update(LEX_ATTRS)
     lex_attr_getters[LANG] = lambda text: "es"
     lex_attr_getters[NORM] = add_lookups(
         Language.Defaults.lex_attr_getters[NORM], BASE_NORMS

spacy/lang/es/lex_attrs.py

@@ -0,0 +1,59 @@
+# coding: utf8
+from __future__ import unicode_literals
+
+from ...attrs import LIKE_NUM
+
+
+_num_words = [
+    "cero",
+    "uno",
+    "dos",
+    "tres",
+    "cuatro",
+    "cinco",
+    "seis",
+    "siete",
+    "ocho",
+    "nueve",
+    "diez",
+    "once",
+    "doce",
+    "trece",
+    "catorce",
+    "quince",
+    "dieciséis",
+    "diecisiete",
+    "dieciocho",
+    "diecinueve",
+    "veinte",
+    "treinta",
+    "cuarenta",
+    "cincuenta",
+    "sesenta",
+    "setenta",
+    "ochenta",
+    "noventa",
+    "cien",
+    "mil",
+    "millón",
+    "billón",
+    "trillón",
+]
+
+
+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/tests/regression/test_issue3803.py

@@ -0,0 +1,15 @@
+# coding: utf8
+from __future__ import unicode_literals
+
+import pytest
+
+from spacy.lang.es import Spanish
+
+
+def test_issue3803():
+    """Test that spanish num-like tokens have True for like_num attribute."""
+    nlp = Spanish()
+    text = "2 dos 1000 mil 12 doce"
+    doc = nlp(text)
+
+    assert [t.like_num for t in doc] == [True, True, True, True, True, True]