added lex attrs rules

spacy/lang/id/lex_attrs.py

@@ -1,4 +1,42 @@
 # coding: utf8
 from __future__ import unicode_literals
 
-LEX_ATTRS = {}
+from ...attrs import LIKE_NUM
+
+
+_num_words = ['zero', 'one', 'two', 'three', 'four', 'five', 'six', 'seven',
+              'eight', 'nine', 'ten', 'eleven', 'twelve', 'thirteen', 'fourteen',
+              'fifteen', 'sixteen', 'seventeen', 'eighteen', 'nineteen', 'twenty',
+              'thirty', 'forty', 'fifty', 'sixty', 'seventy', 'eighty', 'ninety',
+              'hundred', 'thousand', 'million', 'billion', 'trillion', 'quadrillion',
+              'gajillion', 'bazillion',
+              'nol', 'satu', 'dua', 'tiga', 'empat', 'lima', 'enam', 'tujuh',
+              'delapan', 'sembilan', 'sepuluh', 'sebelas', 'duabelas', 'tigabelas',
+              'empatbelas', 'limabelas', 'enambelas', 'tujuhbelas', 'delapanbelas',
+              'sembilanbelas', 'duapuluh', 'seratus', 'seribu', 'sejuta',
+              'ribu', 'rb', 'juta', 'jt', 'miliar', 'biliun', 'triliun',
+              'kuadriliun', 'kuintiliun', 'sekstiliun', 'septiliun', 'oktiliun',
+              'noniliun', 'desiliun',
+              ]
+
+
+def like_num(text):
+    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 in _num_words:
+        return True
+    if text.count('-') == 1:
+        pre, num = text.split('-')
+        if pre in ['Ke', 'ke'] and (num.isdigit() or num in _num_words):
+            return True
+    return False
+
+
+LEX_ATTRS = {
+    LIKE_NUM: like_num
+}