Alphanumeric -> alphabetic [ci skip]

see explosion/spacy-course#38

Author: ines

spacy/lexeme.pyx

@@ -375,7 +375,7 @@ cdef class Lexeme:
             Lexeme.c_set_flag(self.c, IS_STOP, x)
 
     property is_alpha:
-        """RETURNS (bool): Whether the lexeme consists of alphanumeric
+        """RETURNS (bool): Whether the lexeme consists of alphabetic
             characters. Equivalent to `lexeme.text.isalpha()`.
         """
         def __get__(self):

spacy/matcher/_schemas.py

@@ -111,7 +111,7 @@
                 "$ref": "#/definitions/integer_value",
             },
             "IS_ALPHA": {
-                "title": "Token consists of alphanumeric characters",
+                "title": "Token consists of alphabetic characters",
                 "$ref": "#/definitions/boolean_value",
             },
             "IS_ASCII": {

website/docs/usage/rule-based-matching.md

@@ -163,7 +163,7 @@ rule-based matching are:
 | `TEXT` <Tag variant="new">2.1</Tag>    | unicode | The exact verbatim text of a token.                                                                    |
 | `LOWER`                                | unicode | The lowercase form of the token text.                                                                  |
 |  `LENGTH`                              | int     | The length of the token text.                                                                          |
-|  `IS_ALPHA`, `IS_ASCII`, `IS_DIGIT`    | bool    | Token text consists of alphanumeric characters, ASCII characters, digits.                              |
+|  `IS_ALPHA`, `IS_ASCII`, `IS_DIGIT`    | bool    | Token text consists of alphabetic characters, ASCII characters, digits.                                |
 |  `IS_LOWER`, `IS_UPPER`, `IS_TITLE`    | bool    | Token text is in lowercase, uppercase, titlecase.                                                      |
 |  `IS_PUNCT`, `IS_SPACE`, `IS_STOP`     | bool    | Token is punctuation, whitespace, stop word.                                                           |
 |  `LIKE_NUM`, `LIKE_URL`, `LIKE_EMAIL`  | bool    | Token text resembles a number, URL, email.                                                             |

website/docs/usage/spacy-101.md

@@ -573,7 +573,7 @@ apple = doc[0]
 print("Fine-grained POS tag", apple.pos_, apple.pos)
 print("Coarse-grained POS tag", apple.tag_, apple.tag)
 print("Word shape", apple.shape_, apple.shape)
-print("Alphanumeric characters?", apple.is_alpha)
+print("Alphabetic characters?", apple.is_alpha)
 print("Punctuation mark?", apple.is_punct)
 
 billion = doc[10]