Clean up of char classes, few tokenizer fixes and faster default French tokenizer (#3293)

* splitting up latin unicode interval

* removing hyphen as infix for French

* adding failing test for issue 1235

* test for issue #3002 which now works

* partial fix for issue #2070

* keep the hyphen as infix for French (as it was)

* restore french expressions with hyphen as infix (as it was)

* added succeeding unit test for Issue #2656

* Fix issue #2822 with custom Italian exception

* Fix issue #2926 by allowing numbers right before infix /

* splitting up latin unicode interval

* removing hyphen as infix for French

* adding failing test for issue 1235

* test for issue #3002 which now works

* partial fix for issue #2070

* keep the hyphen as infix for French (as it was)

* restore french expressions with hyphen as infix (as it was)

* added succeeding unit test for Issue #2656

* Fix issue #2822 with custom Italian exception

* Fix issue #2926 by allowing numbers right before infix /

* remove duplicate

* remove xfail for Issue #2179 fixed by Matt

* adjust documentation and remove reference to regex lib

spacy/lang/char_classes.py

@@ -5,41 +5,143 @@ split_chars = lambda char: list(char.strip().split(" "))
 merge_chars = lambda char: char.strip().replace(" ", "|")
 group_chars = lambda char: char.strip().replace(" ", "")
 
-# used https://unicode.org/cldr/utility/list-unicodeset.jsp to convert categories into code points
-# \p{L}&&\p{Bengali}
-# https://en.wikipedia.org/wiki/Bengali_(Unicode_block)
 _bengali = r"\u0980-\u09FF"
 
-# \p{L}&&\p{Hebrew}
-# https://en.wikipedia.org/wiki/Unicode_and_HTML_for_the_Hebrew_alphabet
 _hebrew = r"\u0591-\u05F4\uFB1D-\uFB4F"
 
-# \p{Ll}&&\p{Latin}
+# Latin standard
-_latin_lower = r"a-z\u00DF-\u00F6\u00F8-\u00FF\u0101\u0103\u0105\u0107\u0109\u010B\u010D\u010F\u0111\u0113\u0115\u0117\u0119\u011B\u011D\u011F\u0121\u0123\u0125\u0127\u0129\u012B\u012D\u012F\u0131\u0133\u0135\u0137\u0138\u013A\u013C\u013E\u0140\u0142\u0144\u0146\u0148\u0149\u014B\u014D\u014F\u0151\u0153\u0155\u0157\u0159\u015B\u015D\u015F\u0161\u0163\u0165\u0167\u0169\u016B\u016D\u016F\u0171\u0173\u0175\u0177\u017A\u017C\u017E-\u0180\u0183\u0185\u0188\u018C\u018D\u0192\u0195\u0199-\u019B\u019E\u01A1\u01A3\u01A5\u01A8\u01AA\u01AB\u01AD\u01B0\u01B4\u01B6\u01B9\u01BA\u01BD-\u01BF\u01C6\u01C9\u01CC\u01CE\u01D0\u01D2\u01D4\u01D6\u01D8\u01DA\u01DC\u01DD\u01DF\u01E1\u01E3\u01E5\u01E7\u01E9\u01EB\u01ED\u01EF\u01F0\u01F3\u01F5\u01F9\u01FB\u01FD\u01FF\u0201\u0203\u0205\u0207\u0209\u020B\u020D\u020F\u0211\u0213\u0215\u0217\u0219\u021B\u021D\u021F\u0221\u0223\u0225\u0227\u0229\u022B\u022D\u022F\u0231\u0233-\u0239\u023C\u023F\u0240\u0242\u0247\u0249\u024B\u024D\u024F-\u0293\u0295-\u02AF\u1D00-\u1D25\u1D6B-\u1D77\u1D79-\u1D9A\u1E01\u1E03\u1E05\u1E07\u1E09\u1E0B\u1E0D\u1E0F\u1E11\u1E13\u1E15\u1E17\u1E19\u1E1B\u1E1D\u1E1F\u1E21\u1E23\u1E25\u1E27\u1E29\u1E2B\u1E2D\u1E2F\u1E31\u1E33\u1E35\u1E37\u1E39\u1E3B\u1E3D\u1E3F\u1E41\u1E43\u1E45\u1E47\u1E49\u1E4B\u1E4D\u1E4F\u1E51\u1E53\u1E55\u1E57\u1E59\u1E5B\u1E5D\u1E5F\u1E61\u1E63\u1E65\u1E67\u1E69\u1E6B\u1E6D\u1E6F\u1E71\u1E73\u1E75\u1E77\u1E79\u1E7B\u1E7D\u1E7F\u1E81\u1E83\u1E85\u1E87\u1E89\u1E8B\u1E8D\u1E8F\u1E91\u1E93\u1E95-\u1E9D\u1E9F\u1EA1\u1EA3\u1EA5\u1EA7\u1EA9\u1EAB\u1EAD\u1EAF\u1EB1\u1EB3\u1EB5\u1EB7\u1EB9\u1EBB\u1EBD\u1EBF\u1EC1\u1EC3\u1EC5\u1EC7\u1EC9\u1ECB\u1ECD\u1ECF\u1ED1\u1ED3\u1ED5\u1ED7\u1ED9\u1EDB\u1EDD\u1EDF\u1EE1\u1EE3\u1EE5\u1EE7\u1EE9\u1EEB\u1EED\u1EEF\u1EF1\u1EF3\u1EF5\u1EF7\u1EF9\u1EFB\u1EFD\u1EFF\u214E\u2184\u2C61\u2C65\u2C66\u2C68\u2C6A\u2C6C\u2C71\u2C73\u2C74\u2C76-\u2C7B\uA723\uA725\uA727\uA729\uA72B\uA72D\uA72F-\uA731\uA733\uA735\uA737\uA739\uA73B\uA73D\uA73F\uA741\uA743\uA745\uA747\uA749\uA74B\uA74D\uA74F\uA751\uA753\uA755\uA757\uA759\uA75B\uA75D\uA75F\uA761\uA763\uA765\uA767\uA769\uA76B\uA76D\uA76F\uA771-\uA778\uA77A\uA77C\uA77F\uA781\uA783\uA785\uA787\uA78C\uA78E\uA791\uA793-\uA795\uA797\uA799\uA79B\uA79D\uA79F\uA7A1\uA7A3\uA7A5\uA7A7\uA7A9\uA7AF\uA7B5\uA7B7\uA7B9\uA7FA\uAB30-\uAB5A\uAB60-\uAB64\uFB00-\uFB06\uFF41-\uFF5A"
+_latin_u_standard = r"A-Z"
-# \p{Lu}&&\p{Latin}
+_latin_l_standard = r"a-z"
-_latin_upper = r"A-Z\u00C0-\u00D6\u00D8-\u00DE\u0100\u0102\u0104\u0106\u0108\u010A\u010C\u010E\u0110\u0112\u0114\u0116\u0118\u011A\u011C\u011E\u0120\u0122\u0124\u0126\u0128\u012A\u012C\u012E\u0130\u0132\u0134\u0136\u0139\u013B\u013D\u013F\u0141\u0143\u0145\u0147\u014A\u014C\u014E\u0150\u0152\u0154\u0156\u0158\u015A\u015C\u015E\u0160\u0162\u0164\u0166\u0168\u016A\u016C\u016E\u0170\u0172\u0174\u0176\u0178\u0179\u017B\u017D\u0181\u0182\u0184\u0186\u0187\u0189-\u018B\u018E-\u0191\u0193\u0194\u0196-\u0198\u019C\u019D\u019F\u01A0\u01A2\u01A4\u01A6\u01A7\u01A9\u01AC\u01AE\u01AF\u01B1-\u01B3\u01B5\u01B7\u01B8\u01BC\u01C4\u01C7\u01CA\u01CD\u01CF\u01D1\u01D3\u01D5\u01D7\u01D9\u01DB\u01DE\u01E0\u01E2\u01E4\u01E6\u01E8\u01EA\u01EC\u01EE\u01F1\u01F4\u01F6-\u01F8\u01FA\u01FC\u01FE\u0200\u0202\u0204\u0206\u0208\u020A\u020C\u020E\u0210\u0212\u0214\u0216\u0218\u021A\u021C\u021E\u0220\u0222\u0224\u0226\u0228\u022A\u022C\u022E\u0230\u0232\u023A\u023B\u023D\u023E\u0241\u0243-\u0246\u0248\u024A\u024C\u024E\u1E00\u1E02\u1E04\u1E06\u1E08\u1E0A\u1E0C\u1E0E\u1E10\u1E12\u1E14\u1E16\u1E18\u1E1A\u1E1C\u1E1E\u1E20\u1E22\u1E24\u1E26\u1E28\u1E2A\u1E2C\u1E2E\u1E30\u1E32\u1E34\u1E36\u1E38\u1E3A\u1E3C\u1E3E\u1E40\u1E42\u1E44\u1E46\u1E48\u1E4A\u1E4C\u1E4E\u1E50\u1E52\u1E54\u1E56\u1E58\u1E5A\u1E5C\u1E5E\u1E60\u1E62\u1E64\u1E66\u1E68\u1E6A\u1E6C\u1E6E\u1E70\u1E72\u1E74\u1E76\u1E78\u1E7A\u1E7C\u1E7E\u1E80\u1E82\u1E84\u1E86\u1E88\u1E8A\u1E8C\u1E8E\u1E90\u1E92\u1E94\u1E9E\u1EA0\u1EA2\u1EA4\u1EA6\u1EA8\u1EAA\u1EAC\u1EAE\u1EB0\u1EB2\u1EB4\u1EB6\u1EB8\u1EBA\u1EBC\u1EBE\u1EC0\u1EC2\u1EC4\u1EC6\u1EC8\u1ECA\u1ECC\u1ECE\u1ED0\u1ED2\u1ED4\u1ED6\u1ED8\u1EDA\u1EDC\u1EDE\u1EE0\u1EE2\u1EE4\u1EE6\u1EE8\u1EEA\u1EEC\u1EEE\u1EF0\u1EF2\u1EF4\u1EF6\u1EF8\u1EFA\u1EFC\u1EFE\u212A\u212B\u2132\u2183\u2C60\u2C62-\u2C64\u2C67\u2C69\u2C6B\u2C6D-\u2C70\u2C72\u2C75\u2C7E\u2C7F\uA722\uA724\uA726\uA728\uA72A\uA72C\uA72E\uA732\uA734\uA736\uA738\uA73A\uA73C\uA73E\uA740\uA742\uA744\uA746\uA748\uA74A\uA74C\uA74E\uA750\uA752\uA754\uA756\uA758\uA75A\uA75C\uA75E\uA760\uA762\uA764\uA766\uA768\uA76A\uA76C\uA76E\uA779\uA77B\uA77D\uA77E\uA780\uA782\uA784\uA786\uA78B\uA78D\uA790\uA792\uA796\uA798\uA79A\uA79C\uA79E\uA7A0\uA7A2\uA7A4\uA7A6\uA7A8\uA7AA-\uA7AE\uA7B0-\uA7B4\uA7B6\uA7B8\uFF21-\uFF3A"
+_latin_standard = _latin_u_standard + _latin_l_standard
-# [\p{Ll}||\p{Lu}]&&\p{Latin}
-latin = r"A-Za-z\u00C0-\u00D6\u00D8-\u00F6\u00F8-\u01BA\u01BC-\u01BF\u01C4\u01C6\u01C7\u01C9\u01CA\u01CC-\u01F1\u01F3-\u0293\u0295-\u02AF\u1D00-\u1D25\u1D6B-\u1D77\u1D79-\u1D9A\u1E00-\u1EFF\u212A\u212B\u2132\u214E\u2183\u2184\u2C60-\u2C7B\u2C7E\u2C7F\uA722-\uA76F\uA771-\uA787\uA78B-\uA78E\uA790-\uA7B9\uA7FA\uAB30-\uAB5A\uAB60-\uAB64\uFB00-\uFB06\uFF21-\uFF3A\uFF41-\uFF5A"
 
-# \p{L}&&\p{Arabic}
+_latin_u_standard_fullwidth = r"\uFF21-\uFF3A"
-_persian = r"\u0620-\u064A\u066E-\u06D5\u06E5-\u06FF\u0750-\u077F\u08A0-\u08BD\uFB50-\uFBB1\uFBD3-\uFD3D\uFD50-\uFDC7\uFDF0-\uFDFB\uFE70-\uFEFC\U0001EE00-\U0001EEBB"
+_latin_l_standard_fullwidth = r"\uFF41-\uFF5A"
+_latin_standard_fullwidth = _latin_u_standard_fullwidth + _latin_l_standard_fullwidth
+
+# letters with diacritics - French, German, Icelandic, Spanish
+_latin_u_supplement = r"\u00C0-\u00D6\u00D8-\u00DE"
+_latin_l_supplement = r"\u00DF-\u00F6\u00F8-\u00FF"
+_latin_supplement = r"\u00C0-\u00D6\u00D8-\u00F6\u00F8-\u00FF"
+
+# letters with diacritics - Catalan, Czech, Latin, Latvian, Lithuanian, Polish, Slovak, Turkish, Welsh
+_latin_u_extendedA = r"\u0100\u0102\u0104\u0106\u0108\u010A\u010C\u010E\u0110\u0112\u0114\u0116\u0118\u011A\u011C" \
+                         r"\u011E\u0120\u0122\u0124\u0126\u0128\u012A\u012C\u012E\u0130\u0132\u0134\u0136\u0139\u013B" \
+                         r"\u013D\u013F\u0141\u0143\u0145\u0147\u014A\u014C\u014E\u0150\u0152\u0154\u0156\u0158" \
+                         r"\u015A\u015C\u015E\u0160\u0162\u0164\u0166\u0168\u016A\u016C\u016E\u0170\u0172\u0174\u0176" \
+                         r"\u0178\u0179\u017B\u017D"
+_latin_l_extendedA = r"\u0101\u0103\u0105\u0107\u0109\u010B\u010D\u010F\u0111\u0113\u0115\u0117\u0119\u011B\u011D" \
+                        r"\u011F\u0121\u0123\u0125\u0127\u0129\u012B\u012D\u012F\u0131\u0133\u0135\u0137\u0138\u013A" \
+                        r"\u013C\u013E\u0140\u0142\u0144\u0146\u0148\u0149\u014B\u014D\u014F\u0151\u0153\u0155\u0157" \
+                        r"\u0159\u015B\u015D\u015F\u0161\u0163\u0165\u0167\u0169\u016B\u016D\u016F\u0171\u0173\u0175" \
+                        r"\u0177\u017A\u017C\u017E\u017F"
+_latin_extendedA = r"\u0100-\u017F"
+
+# special characters - Khoisan, Pan-Nigerian, Pinyin, Romanian
+# those that are a combination of both upper and lower letters are only included in the group _latin_extendedB
+_latin_u_extendedB = r"\u0181\u0182\u0184\u0186\u0187\u0189-\u018B\u018E-\u0191\u0193\u0194\u0196-\u0198\u019C" \
+                         r"\u019D\u019F\u01A0\u01A2\u01A4\u01A6\u01A7\u01A9\u01AC\u01AE\u01AF\u01B1-\u01B3\u01B5" \
+                         r"\u01B7\u01B8\u01BC\u01C4\u01C7\u01CA\u01CD\u01CF\u01D1\u01D3\u01D5\u01D7\u01D9\u01DB" \
+                         r"\u01DE\u01E0\u01E2\u01E4\u01E6\u01E8\u01EA\u01EC\u01EE\u01F1\u01F4\u01F6-\u01F8\u01FA" \
+                         r"\u01FC\u01FE\u0200\u0202\u0204\u0206\u0208\u020A\u020C\u020E\u0210\u0212\u0214\u0216" \
+                         r"\u0218\u021A\u021C\u021E\u0220\u0222\u0224\u0226\u0228\u022A\u022C\u022E\u0230\u0232" \
+                         r"\u023A\u023B\u023D\u023E\u0241\u0243-\u0246\u0248\u024A\u024C\u024E"
+_latin_l_extendedB = r"\u0180\u0183\u0185\u0188\u018C\u018D\u0192\u0195\u0199-\u019B\u019E\u01A1\u01A3\u01A5" \
+                         r"\u01A8\u01AA\u01AB\u01AD\u01B0\u01B4\u01B6\u01B9\u01BA\u01BD-\u01BF\u01C6\u01C9\u01CC" \
+                         r"\u01CE\u01D0\u01D2\u01D4\u01D6\u01D8\u01DA\u01DC\u01DD\u01DF\u01E1\u01E3\u01E5\u01E7" \
+                         r"\u01E9\u01EB\u01ED\u01EF\u01F0\u01F3\u01F5\u01F9\u01FB\u01FD\u01FF\u0201\u0203\u0205" \
+                         r"\u0207\u0209\u020B\u020D\u020F\u0211\u0213\u0215\u0217\u0219\u021B\u021D\u021F\u0221" \
+                         r"\u0223\u0225\u0227\u0229\u022B\u022D\u022F\u0231\u0233-\u0239\u023C\u023F\u0240\u0242" \
+                         r"\u0247\u0249\u024B\u024D\u024F"
+_latin_extendedB = r"\u0180-\u01BF\u01C4-\u024F"
+
+# special characters - Uighur, Uralic Phonetic
+_latin_u_extendedC = r"\u2C60\u2C62-\u2C64\u2C67\u2C69\u2C6B\u2C6D-\u2C70\u2C72\u2C75\u2C7E\u2C7F"
+_latin_l_extendedC = r"\u2C61\u2C65\u2C66\u2C68\u2C6A\u2C6C\u2C71\u2C73\u2C74\u2C76-\u2C7B"
+_latin_extendedC = r"\u2C60-\u2C7B\u2C7E\u2C7F"
+
+# special characters - phonetic, Mayan, Medieval
+_latin_u_extendedD = r"\uA722\uA724\uA726\uA728\uA72A\uA72C\uA72E\uA732\uA734\uA736\uA738\uA73A\uA73C" \
+                         r"\uA73E\uA740\uA742\uA744\uA746\uA748\uA74A\uA74C\uA74E\uA750\uA752\uA754\uA756\uA758" \
+                         r"\uA75A\uA75C\uA75E\uA760\uA762\uA764\uA766\uA768\uA76A\uA76C\uA76E\uA779\uA77B\uA77D" \
+                         r"\uA77E\uA780\uA782\uA784\uA786\uA78B\uA78D\uA790\uA792\uA796\uA798\uA79A\uA79C\uA79E" \
+                         r"\uA7A0\uA7A2\uA7A4\uA7A6\uA7A8\uA7AA-\uA7AE\uA7B0-\uA7B4\uA7B6\uA7B8"
+_latin_l_extendedD = r"\uA723\uA725\uA727\uA729\uA72B\uA72D\uA72F-\uA731\uA733\uA735\uA737\uA739\uA73B\uA73D" \
+                         r"\uA73F\uA741\uA743\uA745\uA747\uA749\uA74B\uA74D\uA74F\uA751\uA753\uA755\uA757\uA759" \
+                         r"\uA75B\uA75D\uA75F\uA761\uA763\uA765\uA767\uA769\uA76B\uA76D\uA76F\uA771-\uA778\uA77A" \
+                         r"\uA77C\uA77F\uA781\uA783\uA785\uA787\uA78C\uA78E\uA791\uA793-\uA795\uA797\uA799\uA79B" \
+                         r"\uA79D\uA79F\uA7A1\uA7A3\uA7A5\uA7A7\uA7A9\uA7AF\uA7B5\uA7B7\uA7B9\uA7FA"
+_latin_extendedD = r"\uA722-\uA76F\uA771-\uA787\uA78B-\uA78E\uA790-\uA7B9\uA7FA"
+
+# special characters - phonetic Teuthonista and Sakha
+_latin_l_extendedE = r"\uAB30-\uAB5A\uAB60-\uAB64"
+_latin_extendedE = _latin_l_extendedE
+
+# phonetic letters - Greek, Latin, Cyrillic
+_latin_l_phonetic = r"\u0250-\u02AF\u1D00-\u1D25\u1D6B-\u1D77\u1D79-\u1D9A"
+_latin_phonetic = _latin_l_phonetic
+
+# letters with multiple diacritics - Vietnamese
+_latin_u_diacritics = r"\u1E00\u1E02\u1E04\u1E06\u1E08\u1E0A\u1E0C\u1E0E\u1E10\u1E12\u1E14\u1E16\u1E18\u1E1A" \
+                          r"\u1E1C\u1E1E\u1E20\u1E22\u1E24\u1E26\u1E28\u1E2A\u1E2C\u1E2E\u1E30\u1E32\u1E34\u1E36" \
+                          r"\u1E38\u1E3A\u1E3C\u1E3E\u1E40\u1E42\u1E44\u1E46\u1E48\u1E4A\u1E4C\u1E4E\u1E50\u1E52" \
+                          r"\u1E54\u1E56\u1E58\u1E5A\u1E5C\u1E5E\u1E60\u1E62\u1E64\u1E66\u1E68\u1E6A\u1E6C\u1E6E" \
+                          r"\u1E70\u1E72\u1E74\u1E76\u1E78\u1E7A\u1E7C\u1E7E\u1E80\u1E82\u1E84\u1E86\u1E88\u1E8A" \
+                          r"\u1E8C\u1E8E\u1E90\u1E92\u1E94\u1E9E\u1EA0\u1EA2\u1EA4\u1EA6\u1EA8\u1EAA\u1EAC\u1EAE" \
+                          r"\u1EB0\u1EB2\u1EB4\u1EB6\u1EB8\u1EBA\u1EBC\u1EBE\u1EC0\u1EC2\u1EC4\u1EC6\u1EC8" \
+                          r"\u1ECA\u1ECC\u1ECE\u1ED0\u1ED2\u1ED4\u1ED6\u1ED8\u1EDA\u1EDC\u1EDE\u1EE0\u1EE2\u1EE4" \
+                          r"\u1EE6\u1EE8\u1EEA\u1EEC\u1EEE\u1EF0\u1EF2\u1EF4\u1EF6\u1EF8\u1EFA\u1EFC\u1EFE"
+_latin_l_diacritics = r"\u1E01\u1E03\u1E05\u1E07\u1E09\u1E0B\u1E0D\u1E0F\u1E11\u1E13\u1E15\u1E17\u1E19\u1E1B" \
+                          r"\u1E1D\u1E1F\u1E21\u1E23\u1E25\u1E27\u1E29\u1E2B\u1E2D\u1E2F\u1E31\u1E33\u1E35\u1E37" \
+                          r"\u1E39\u1E3B\u1E3D\u1E3F\u1E41\u1E43\u1E45\u1E47\u1E49\u1E4B\u1E4D\u1E4F\u1E51\u1E53" \
+                          r"\u1E55\u1E57\u1E59\u1E5B\u1E5D\u1E5F\u1E61\u1E63\u1E65\u1E67\u1E69\u1E6B\u1E6D\u1E6F" \
+                          r"\u1E71\u1E73\u1E75\u1E77\u1E79\u1E7B\u1E7D\u1E7F\u1E81\u1E83\u1E85\u1E87\u1E89\u1E8B" \
+                          r"\u1E8D\u1E8F\u1E91\u1E93\u1E95-\u1E9D\u1E9F\u1EA1\u1EA3\u1EA5\u1EA7\u1EA9\u1EAB\u1EAD" \
+                          r"\u1EAF\u1EB1\u1EB3\u1EB5\u1EB7\u1EB9\u1EBB\u1EBD\u1EBF\u1EC1\u1EC3\u1EC5\u1EC7\u1EC9" \
+                          r"\u1ECB\u1ECD\u1ECF\u1ED1\u1ED3\u1ED5\u1ED7\u1ED9\u1EDB\u1EDD\u1EDF\u1EE1\u1EE3\u1EE5" \
+                          r"\u1EE7\u1EE9\u1EEB\u1EED\u1EEF\u1EF1\u1EF3\u1EF5\u1EF7\u1EF9\u1EFB\u1EFD\u1EFF"
+_latin_diacritics = r"\u1E00-\u1EFF"
+
+# all lower latin classes
+LATIN_LOWER_BASIC = _latin_l_standard + _latin_l_standard_fullwidth + _latin_l_supplement + _latin_l_extendedA
+LATIN_LOWER = LATIN_LOWER_BASIC + _latin_l_extendedB + _latin_l_extendedC + _latin_l_extendedD + _latin_l_extendedE \
+               + _latin_l_phonetic + _latin_l_diacritics
+
+# all upper latin classes
+LATIN_UPPER_BASIC = _latin_u_standard + _latin_u_standard_fullwidth + _latin_u_supplement + _latin_u_extendedA
+LATIN_UPPER = LATIN_UPPER_BASIC + _latin_u_extendedB + _latin_u_extendedC + _latin_u_extendedD + _latin_u_diacritics
+
+# all latin classes
+LATIN_BASIC = _latin_standard + _latin_standard_fullwidth + _latin_supplement + _latin_extendedA
+LATIN = LATIN_BASIC + _latin_extendedB + _latin_extendedC + _latin_extendedD + _latin_extendedE \
+         + _latin_phonetic + _latin_diacritics
+
+_persian = r"\u0620-\u064A\u066E-\u06D5\u06E5-\u06FF\u0750-\u077F\u08A0-\u08BD" \
+           r"\uFB50-\uFBB1\uFBD3-\uFD3D\uFD50-\uFDC7\uFDF0-\uFDFB\uFE70-\uFEFC\U0001EE00-\U0001EEBB"
 
 _russian_lower = r"ёа-я"
 _russian_upper = r"ЁА-Я"
-# \p{L}&&\p{Sinhala}
+_russian = r"ёа-яЁА-Я"
+
 _sinhala = r"\u0D85-\u0D96\u0D9A-\u0DB1\u0DB3-\u0DBB\u0DBD\u0DC0-\u0DC6"
+
 _tatar_lower = r"әөүҗңһ"
 _tatar_upper = r"ӘӨҮҖҢҺ"
+_tatar = r"әөүҗңһӘӨҮҖҢҺ"
+
 _greek_lower = r"α-ωάέίόώήύ"
 _greek_upper = r"Α-ΩΆΈΊΌΏΉΎ"
+_greek = r"α-ωάέίόώήύΑ-ΩΆΈΊΌΏΉΎ"
+
 _ukrainian_lower = r"а-щюяіїєґ"
 _ukrainian_upper = r"А-ЩЮЯІЇЄҐ"
+_ukrainian = r"а-щюяіїєґА-ЩЮЯІЇЄҐ"
+
+_upper = LATIN_UPPER + _russian_upper + _tatar_upper + _greek_upper + _ukrainian_upper
+_lower = LATIN_LOWER + _russian_lower + _tatar_lower + _greek_lower + _ukrainian_lower
 
-_upper = _latin_upper + _russian_upper + _tatar_upper + _greek_upper + _ukrainian_upper
-_lower = _latin_lower + _russian_lower + _tatar_lower + _greek_lower + _ukrainian_lower
 _uncased = _bengali + _hebrew + _persian + _sinhala
 
-ALPHA = group_chars(_upper + _lower + _uncased)
+ALPHA = group_chars(LATIN + _russian + _tatar + _greek + _ukrainian + _uncased)
 ALPHA_LOWER = group_chars(_lower + _uncased)
 ALPHA_UPPER = group_chars(_upper + _uncased)
 
@@ -63,7 +165,33 @@ _hyphens = "- – — -- --- —— ~"
 
 # Various symbols like dingbats, but also emoji
 # Details: https://www.compart.com/en/unicode/category/So
-_other_symbols = r"\u00A6\u00A9\u00AE\u00B0\u0482\u058D\u058E\u060E\u060F\u06DE\u06E9\u06FD\u06FE\u07F6\u09FA\u0B70\u0BF3-\u0BF8\u0BFA\u0C7F\u0D4F\u0D79\u0F01-\u0F03\u0F13\u0F15-\u0F17\u0F1A-\u0F1F\u0F34\u0F36\u0F38\u0FBE-\u0FC5\u0FC7-\u0FCC\u0FCE\u0FCF\u0FD5-\u0FD8\u109E\u109F\u1390-\u1399\u1940\u19DE-\u19FF\u1B61-\u1B6A\u1B74-\u1B7C\u2100\u2101\u2103-\u2106\u2108\u2109\u2114\u2116\u2117\u211E-\u2123\u2125\u2127\u2129\u212E\u213A\u213B\u214A\u214C\u214D\u214F\u218A\u218B\u2195-\u2199\u219C-\u219F\u21A1\u21A2\u21A4\u21A5\u21A7-\u21AD\u21AF-\u21CD\u21D0\u21D1\u21D3\u21D5-\u21F3\u2300-\u2307\u230C-\u231F\u2322-\u2328\u232B-\u237B\u237D-\u239A\u23B4-\u23DB\u23E2-\u2426\u2440-\u244A\u249C-\u24E9\u2500-\u25B6\u25B8-\u25C0\u25C2-\u25F7\u2600-\u266E\u2670-\u2767\u2794-\u27BF\u2800-\u28FF\u2B00-\u2B2F\u2B45\u2B46\u2B4D-\u2B73\u2B76-\u2B95\u2B98-\u2BC8\u2BCA-\u2BFE\u2CE5-\u2CEA\u2E80-\u2E99\u2E9B-\u2EF3\u2F00-\u2FD5\u2FF0-\u2FFB\u3004\u3012\u3013\u3020\u3036\u3037\u303E\u303F\u3190\u3191\u3196-\u319F\u31C0-\u31E3\u3200-\u321E\u322A-\u3247\u3250\u3260-\u327F\u328A-\u32B0\u32C0-\u32FE\u3300-\u33FF\u4DC0-\u4DFF\uA490-\uA4C6\uA828-\uA82B\uA836\uA837\uA839\uAA77-\uAA79\uFDFD\uFFE4\uFFE8\uFFED\uFFEE\uFFFC\uFFFD\U00010137-\U0001013F\U00010179-\U00010189\U0001018C-\U0001018E\U00010190-\U0001019B\U000101A0\U000101D0-\U000101FC\U00010877\U00010878\U00010AC8\U0001173F\U00016B3C-\U00016B3F\U00016B45\U0001BC9C\U0001D000-\U0001D0F5\U0001D100-\U0001D126\U0001D129-\U0001D164\U0001D16A-\U0001D16C\U0001D183\U0001D184\U0001D18C-\U0001D1A9\U0001D1AE-\U0001D1E8\U0001D200-\U0001D241\U0001D245\U0001D300-\U0001D356\U0001D800-\U0001D9FF\U0001DA37-\U0001DA3A\U0001DA6D-\U0001DA74\U0001DA76-\U0001DA83\U0001DA85\U0001DA86\U0001ECAC\U0001F000-\U0001F02B\U0001F030-\U0001F093\U0001F0A0-\U0001F0AE\U0001F0B1-\U0001F0BF\U0001F0C1-\U0001F0CF\U0001F0D1-\U0001F0F5\U0001F110-\U0001F16B\U0001F170-\U0001F1AC\U0001F1E6-\U0001F202\U0001F210-\U0001F23B\U0001F240-\U0001F248\U0001F250\U0001F251\U0001F260-\U0001F265\U0001F300-\U0001F3FA\U0001F400-\U0001F6D4\U0001F6E0-\U0001F6EC\U0001F6F0-\U0001F6F9\U0001F700-\U0001F773\U0001F780-\U0001F7D8\U0001F800-\U0001F80B\U0001F810-\U0001F847\U0001F850-\U0001F859\U0001F860-\U0001F887\U0001F890-\U0001F8AD\U0001F900-\U0001F90B\U0001F910-\U0001F93E\U0001F940-\U0001F970\U0001F973-\U0001F976\U0001F97A\U0001F97C-\U0001F9A2\U0001F9B0-\U0001F9B9\U0001F9C0-\U0001F9C2\U0001F9D0-\U0001F9FF\U0001FA60-\U0001FA6D"
+_other_symbols = r"\u00A6\u00A9\u00AE\u00B0\u0482\u058D\u058E\u060E\u060F\u06DE\u06E9\u06FD\u06FE\u07F6\u09FA\u0B70" \
+                 r"\u0BF3-\u0BF8\u0BFA\u0C7F\u0D4F\u0D79\u0F01-\u0F03\u0F13\u0F15-\u0F17\u0F1A-\u0F1F\u0F34" \
+                 r"\u0F36\u0F38\u0FBE-\u0FC5\u0FC7-\u0FCC\u0FCE\u0FCF\u0FD5-\u0FD8\u109E\u109F\u1390-\u1399" \
+                 r"\u1940\u19DE-\u19FF\u1B61-\u1B6A\u1B74-\u1B7C\u2100\u2101\u2103-\u2106\u2108\u2109\u2114\u2116" \
+                 r"\u2117\u211E-\u2123\u2125\u2127\u2129\u212E\u213A\u213B\u214A\u214C\u214D\u214F\u218A\u218B" \
+                 r"\u2195-\u2199\u219C-\u219F\u21A1\u21A2\u21A4\u21A5\u21A7-\u21AD\u21AF-\u21CD\u21D0\u21D1\u21D3" \
+                 r"\u21D5-\u21F3\u2300-\u2307\u230C-\u231F\u2322-\u2328\u232B-\u237B\u237D-\u239A\u23B4-\u23DB" \
+                 r"\u23E2-\u2426\u2440-\u244A\u249C-\u24E9\u2500-\u25B6\u25B8-\u25C0\u25C2-\u25F7\u2600-\u266E" \
+                 r"\u2670-\u2767\u2794-\u27BF\u2800-\u28FF\u2B00-\u2B2F\u2B45\u2B46\u2B4D-\u2B73\u2B76-\u2B95" \
+                 r"\u2B98-\u2BC8\u2BCA-\u2BFE\u2CE5-\u2CEA\u2E80-\u2E99\u2E9B-\u2EF3\u2F00-\u2FD5\u2FF0-\u2FFB" \
+                 r"\u3004\u3012\u3013\u3020\u3036\u3037\u303E\u303F\u3190\u3191\u3196-\u319F\u31C0-\u31E3" \
+                 r"\u3200-\u321E\u322A-\u3247\u3250\u3260-\u327F\u328A-\u32B0\u32C0-\u32FE\u3300-\u33FF\u4DC0-\u4DFF" \
+                 r"\uA490-\uA4C6\uA828-\uA82B\uA836\uA837\uA839\uAA77-\uAA79\uFDFD\uFFE4\uFFE8\uFFED\uFFEE\uFFFC" \
+                 r"\uFFFD\U00010137-\U0001013F\U00010179-\U00010189\U0001018C-\U0001018E\U00010190-\U0001019B" \
+                 r"\U000101A0\U000101D0-\U000101FC\U00010877\U00010878\U00010AC8\U0001173F\U00016B3C-\U00016B3F" \
+                 r"\U00016B45\U0001BC9C\U0001D000-\U0001D0F5\U0001D100-\U0001D126\U0001D129-\U0001D164" \
+                 r"\U0001D16A-\U0001D16C\U0001D183\U0001D184\U0001D18C-\U0001D1A9\U0001D1AE-\U0001D1E8" \
+                 r"\U0001D200-\U0001D241\U0001D245\U0001D300-\U0001D356\U0001D800-\U0001D9FF\U0001DA37-\U0001DA3A" \
+                 r"\U0001DA6D-\U0001DA74\U0001DA76-\U0001DA83\U0001DA85\U0001DA86\U0001ECAC\U0001F000-\U0001F02B" \
+                 r"\U0001F030-\U0001F093\U0001F0A0-\U0001F0AE\U0001F0B1-\U0001F0BF\U0001F0C1-\U0001F0CF" \
+                 r"\U0001F0D1-\U0001F0F5\U0001F110-\U0001F16B\U0001F170-\U0001F1AC\U0001F1E6-\U0001F202" \
+                 r"\U0001F210-\U0001F23B\U0001F240-\U0001F248\U0001F250\U0001F251\U0001F260-\U0001F265" \
+                 r"\U0001F300-\U0001F3FA\U0001F400-\U0001F6D4\U0001F6E0-\U0001F6EC\U0001F6F0-\U0001F6F9" \
+                 r"\U0001F700-\U0001F773\U0001F780-\U0001F7D8\U0001F800-\U0001F80B\U0001F810-\U0001F847" \
+                 r"\U0001F850-\U0001F859\U0001F860-\U0001F887\U0001F890-\U0001F8AD\U0001F900-\U0001F90B" \
+                 r"\U0001F910-\U0001F93E\U0001F940-\U0001F970\U0001F973-\U0001F976\U0001F97A\U0001F97C-\U0001F9A2" \
+                 r"\U0001F9B0-\U0001F9B9\U0001F9C0-\U0001F9C2\U0001F9D0-\U0001F9FF\U0001FA60-\U0001FA6D"
 
 UNITS = merge_chars(_units)
 CURRENCY = merge_chars(_currency)

spacy/lang/fr/_tokenizer_exceptions_list.py

@@ -7076,14 +7076,6 @@ FR_BASE_EXCEPTIONS = [
 "au-lof",
 "au-tour",
 "aube-vigne",
-"audio-numérique",
-"audio-numériques",
-"audio-prothésiste",
-"audio-prothésistes",
-"audio-visuel",
-"audio-visuelle",
-"audio-visuelles",
-"audio-visuels",
 "aujourd'hui",
 "aulnaie-frênaie",
 "aulnaies-frênaies",
@@ -14400,7 +14392,6 @@ FR_BASE_EXCEPTIONS = [
 "attaques surprises",
 "attaques-surprises",
 "attrape-con",
-"audio-oral",
 "auriculo-cardiaque",
 "auriculo-temporal",
 "austro-bavarois",

spacy/lang/fr/tokenizer_exceptions.py

@@ -3,12 +3,15 @@ from __future__ import unicode_literals
 
 import re
 
-from ._tokenizer_exceptions_list import FR_BASE_EXCEPTIONS
 from .punctuation import ELISION, HYPHENS
 from ..tokenizer_exceptions import URL_PATTERN
 from ..char_classes import ALPHA_LOWER, ALPHA
 from ...symbols import ORTH, LEMMA, TAG
 
+# not using the large _tokenizer_exceptions_list by default as it slows down the tokenizer
+# from ._tokenizer_exceptions_list import FR_BASE_EXCEPTIONS
+FR_BASE_EXCEPTIONS = ["aujourd'hui", "Aujourd'hui"]
+
 
 def upper_first_letter(text):
     if len(text) == 0:
@@ -128,6 +131,7 @@ _hyphen_prefix = [
     "arcs?",
     "archi",
     "arrières?",
+    "audio",
     "avant",
     "avion",
     "auto",

spacy/lang/it/__init__.py

@@ -4,6 +4,7 @@ from __future__ import unicode_literals
 from .stop_words import STOP_WORDS
 from .lemmatizer import LOOKUP
 from .tag_map import TAG_MAP
+from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
 
 from ..tokenizer_exceptions import BASE_EXCEPTIONS
 from ..norm_exceptions import BASE_NORMS
@@ -20,7 +21,7 @@ class ItalianDefaults(Language.Defaults):
     lex_attr_getters[NORM] = add_lookups(
         Language.Defaults.lex_attr_getters[NORM], BASE_NORMS
     )
-    tokenizer_exceptions = update_exc(BASE_EXCEPTIONS)
+    tokenizer_exceptions = update_exc(BASE_EXCEPTIONS, TOKENIZER_EXCEPTIONS)
     stop_words = STOP_WORDS
     lemma_lookup = LOOKUP
     tag_map = TAG_MAP

spacy/lang/it/tokenizer_exceptions.py

@@ -0,0 +1,9 @@
+# coding: utf8
+from __future__ import unicode_literals
+from ...symbols import ORTH, LEMMA
+
+_exc = {
+    "po'": [{ORTH: "po'", LEMMA: 'poco'}]
+}
+
+TOKENIZER_EXCEPTIONS = _exc

spacy/lang/punctuation.py

@@ -39,10 +39,10 @@ _infixes = (
     + LIST_ICONS
     + [
         r"(?<=[0-9])[+\-\*^](?=[0-9-])",
-        r"(?<=[{al}])\.(?=[{au}])".format(al=ALPHA_LOWER, au=ALPHA_UPPER),
+        r"(?<=[{al}{q}])\.(?=[{au}{q}])".format(al=ALPHA_LOWER, au=ALPHA_UPPER, q=CONCAT_QUOTES),
         r"(?<=[{a}]),(?=[{a}])".format(a=ALPHA),
         r"(?<=[{a}])(?:{h})(?=[{a}])".format(a=ALPHA, h=HYPHENS),
-        r"(?<=[{a}])[:<>=/](?=[{a}])".format(a=ALPHA),
+        r"(?<=[{a}0-9])[:<>=/](?=[{a}])".format(a=ALPHA),
     ]
 )
 

spacy/tests/lang/fr/test_exceptions.py

@@ -22,9 +22,9 @@ import pytest
         u"11-septembre",
         u"11-Septembre",
         u"refox-trottâmes",
-        u"K-POP",
+        # u"K-POP",
-        u"K-Pop",
+        # u"K-Pop",
-        u"K-pop",
+        # u"K-pop",
         u"z'yeutes",
         u"black-outeront",
         u"états-unienne",

spacy/tests/regression/test_issue1-1000.py

@@ -358,6 +358,7 @@ def test_issue850_basic():
     assert end == 4
 
 
+@pytest.mark.skip(reason="French exception list is not enabled in the default tokenizer anymore")
 @pytest.mark.parametrize(
     "text", ["au-delàs", "pair-programmâmes", "terra-formées", "σ-compacts"]
 )

spacy/tests/regression/test_issue1001-1500.py

@@ -13,6 +13,22 @@ from spacy.lemmatizer import Lemmatizer
 from spacy.symbols import ORTH, LEMMA, POS, VERB, VerbForm_part
 
 
+@pytest.mark.xfail(
+    reason="g is split of as a unit, as the suffix regular expression can not look back further (variable-width)"
+)
+def test_issue1235():
+    """Test that g is not split of if preceded by a number and a letter"""
+    nlp = English()
+    testwords = u'e2g 2g 52g'
+    doc = nlp(testwords)
+    assert len(doc) == 5
+    assert doc[0].text == "e2g"
+    assert doc[1].text == "2"
+    assert doc[2].text == "g"
+    assert doc[3].text == "52"
+    assert doc[4].text == "g"
+
+
 def test_issue1242():
     nlp = English()
     doc = nlp("")

spacy/tests/regression/test_issue2001-2500.py

@@ -7,10 +7,22 @@ from spacy.displacy import render
 from spacy.gold import iob_to_biluo
 from spacy.lang.it import Italian
 import numpy
+from spacy.lang.en import English
 
 from ..util import add_vecs_to_vocab, get_doc
 
 
+@pytest.mark.xfail(
+    reason="The dot is now properly split off, but the prefix/suffix rules are not applied again afterwards."
+           "This means that the quote will still be attached to the remaining token."
+)
+def test_issue2070():
+    """Test that checks that a dot followed by a quote is handled appropriately."""
+    nlp = English()
+    doc = nlp('First sentence."A quoted sentence" he said ...')
+    assert len(doc) == 11
+
+
 def test_issue2179():
     """Test that spurious 'extra_labels' aren't created when initializing NER."""
     nlp = Italian()

spacy/tests/regression/test_issue2656.py

@@ -0,0 +1,24 @@
+# coding: utf8
+from __future__ import unicode_literals
+from spacy.lang.en import English
+
+
+def test_issue2656():
+    """ Test that tokenizer correctly splits of punctuation after numbers with decimal points """
+    text = "I went for 40.3, and got home by 10.0."
+    nlp = English()
+    doc = nlp(text)
+
+    assert len(doc) == 11
+
+    assert doc[0].text == "I"
+    assert doc[1].text == "went"
+    assert doc[2].text == "for"
+    assert doc[3].text == "40.3"
+    assert doc[4].text == ","
+    assert doc[5].text == "and"
+    assert doc[6].text == "got"
+    assert doc[7].text == "home"
+    assert doc[8].text == "by"
+    assert doc[9].text == "10.0"
+    assert doc[10].text == "."

spacy/tests/regression/test_issue2822.py

@@ -0,0 +1,21 @@
+# coding: utf8
+from __future__ import unicode_literals
+from spacy.lang.it import Italian
+
+
+def test_issue2822():
+    """ Test that the abbreviation of poco is kept as one word """
+    nlp = Italian()
+    text = "Vuoi un po' di zucchero?"
+
+    doc = nlp(text)
+
+    assert len(doc) == 6
+
+    assert doc[0].text == "Vuoi"
+    assert doc[1].text == "un"
+    assert doc[2].text == "po'"
+    assert doc[2].lemma_ == "poco"
+    assert doc[3].text == "di"
+    assert doc[4].text == "zucchero"
+    assert doc[5].text == "?"

spacy/tests/regression/test_issue2926.py

@@ -0,0 +1,21 @@
+# coding: utf8
+from __future__ import unicode_literals
+from spacy.lang.fr import French
+
+
+def test_issue2926():
+    """ Test that the tokenizer correctly splits tokens separated by a slash (/) ending in a digit """
+    nlp = French()
+    text = "Learn html5/css3/javascript/jquery"
+    doc = nlp(text)
+
+    assert len(doc) == 8
+
+    assert doc[0].text == "Learn"
+    assert doc[1].text == "html5"
+    assert doc[2].text == "/"
+    assert doc[3].text == "css3"
+    assert doc[4].text == "/"
+    assert doc[5].text == "javascript"
+    assert doc[6].text == "/"
+    assert doc[7].text == "jquery"

spacy/tests/regression/test_issue3002.py

@@ -0,0 +1,11 @@
+# coding: utf8
+from __future__ import unicode_literals
+
+from spacy.lang.de import German
+
+
+def test_issue3002():
+    """Test that the tokenizer doesn't hang on a long list of dots"""
+    nlp = German()
+    doc = nlp('880.794.982.218.444.893.023.439.794.626.120.190.780.624.990.275.671 ist eine lange Zahl')
+    assert len(doc) == 5

website/docs/usage/adding-languages.md

@@ -102,11 +102,12 @@ language and training a language model.
 
 In order for the tokenizer to split suffixes, prefixes and infixes, spaCy needs
 to know the language's character set. If the language you're adding uses
-non-latin characters, you might need to add the required character classes to
+non-latin characters, you might need to define the required character classes in
 the global
 [`char_classes.py`](https://github.com/explosion/spaCy/tree/master/spacy/lang/char_classes.py).
-spaCy uses the [`regex` library](https://pypi.python.org/pypi/regex/) to keep
+For efficiency, spaCy uses hard-coded unicode ranges to define character classes,
-this simple and readable. If the language requires very specific punctuation
+the definitions of which can be found on [Wikipedia](https://en.wikipedia.org/wiki/Unicode_block). 
+If the language requires very specific punctuation
 rules, you should consider overwriting the default regular expressions with your
 own in the language's `Defaults`.