Move tokenizer data for German into spacy.de.language_data

spacy/de/__init__.py

@@ -3,22 +3,22 @@ from __future__ import unicode_literals, print_function
 from os import path
 
 from ..language import Language
-from ..vocab import Vocab
+from . import language_data
-from ..attrs import LANG
 
 
 class German(Language):
     lang = 'de'
     
     class Defaults(Language.Defaults):
-        def Vocab(self, vectors=None, lex_attr_getters=None):
+        tokenizer_exceptions = dict(language_data.TOKENIZER_EXCEPTIONS)
-            if lex_attr_getters is None:
+        
-                lex_attr_getters = dict(self.lex_attr_getters)
+        prefixes = tuple(language_data.TOKENIZER_PREFIXES)
-            if vectors is None:
+        
-                vectors = self.Vectors()
+        suffixes = tuple(language_data.TOKENIZER_SUFFIXES)
-            # set a dummy lemmatizer for now that simply returns the same string
+        
-            # until the morphology is done for German
+        infixes = tuple(language_data.TOKENIZER_INFIXES)
-            return Vocab.load(self.path, lex_attr_getters=lex_attr_getters, vectors=vectors,
+
-                              lemmatizer=False)
+        tag_map = dict(language_data.TAG_MAP)
+
+        stop_words = set(language_data.STOP_WORDS)
 
-        stop_words = set()

spacy/en/__init__.py

@@ -14,35 +14,6 @@ class English(Language):
     lang = 'en'
 
     class Defaults(Language.Defaults):
-        def Vocab(self, lex_attr_getters=True, tag_map=True,
-                  lemmatizer=True, serializer_freqs=True, vectors=True):
-            if lex_attr_getters is True:
-                lex_attr_getters = self.lex_attr_getters
-            if tag_map is True:
-                tag_map = self.tag_map
-            if lemmatizer is True:
-                lemmatizer = self.Lemmatizer()
-            return Vocab.load(self.path, lex_attr_getters=lex_attr_getters,
-                              tag_map=tag_map, lemmatizer=lemmatizer,
-                              serializer_freqs=serializer_freqs)
-
-        def Tokenizer(self, vocab, rules=None, prefix_search=None, suffix_search=None,
-                infix_finditer=None):
-            if rules is None:
-                rules = self.tokenizer_exceptions
-            if prefix_search is None:
-                prefix_search  = util.compile_prefix_regex(self.prefixes).search
-            if suffix_search is None:
-                suffix_search  = util.compile_suffix_regex(self.suffixes).search
-            if infix_finditer is None:
-                infix_finditer = util.compile_infix_regex(self.infixes).finditer
-            return Tokenizer(vocab, rules=rules,
-                    prefix_search=prefix_search, suffix_search=suffix_search,
-                    infix_finditer=infix_finditer)
-
-        def Lemmatizer(self):
-            return Lemmatizer.load(self.path)
-            
         lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
 
         tokenizer_exceptions = dict(language_data.TOKENIZER_EXCEPTIONS)

spacy/language.py

@@ -26,6 +26,7 @@ from . import orth
 from .syntax.ner import BiluoPushDown
 from .syntax.arc_eager import ArcEager
 from . import util
+from .lemmatizer import Lemmatizer
 
 from .attrs import TAG, DEP, ENT_IOB, ENT_TYPE, HEAD, PROB, LANG, IS_STOP
 
@@ -42,18 +43,39 @@ class BaseDefaults(object):
         self.lex_attr_getters[LANG] = lambda string: lang
         self.lex_attr_getters[IS_STOP] = lambda string: string in self.stop_words
 
+    def Lemmatizer(self):
+        return Lemmatizer.load(self.path)
+
     def Vectors(self):
         return True
-    
-    def Vocab(self, vectors=None, lex_attr_getters=None):
-        if lex_attr_getters is None:
-            lex_attr_getters = dict(self.lex_attr_getters)
-        if vectors is None:
-            vectors = self.Vectors()
-        return Vocab.load(self.path, lex_attr_getters=self.lex_attr_getters, vectors=vectors)
 
-    def Tokenizer(self, vocab):
+    def Vocab(self, lex_attr_getters=True, tag_map=True,
-        return Tokenizer.load(self.path, vocab) 
+              lemmatizer=True, serializer_freqs=True, vectors=True):
+        if lex_attr_getters is True:
+            lex_attr_getters = self.lex_attr_getters
+        if tag_map is True:
+            tag_map = self.tag_map
+        if lemmatizer is True:
+            lemmatizer = self.Lemmatizer()
+        if vectors is True:
+            vectors = self.Vectors()
+        return Vocab.load(self.path, lex_attr_getters=lex_attr_getters,
+                          tag_map=tag_map, lemmatizer=lemmatizer,
+                          serializer_freqs=serializer_freqs)
+
+    def Tokenizer(self, vocab, rules=None, prefix_search=None, suffix_search=None,
+                  infix_finditer=None):
+        if rules is None:
+            rules = self.tokenizer_exceptions
+        if prefix_search is None:
+            prefix_search  = util.compile_prefix_regex(self.prefixes).search
+        if suffix_search is None:
+            suffix_search  = util.compile_suffix_regex(self.suffixes).search
+        if infix_finditer is None:
+            infix_finditer = util.compile_infix_regex(self.infixes).finditer
+        return Tokenizer(vocab, rules=rules,
+                prefix_search=prefix_search, suffix_search=suffix_search,
+                infix_finditer=infix_finditer)
 
     def Tagger(self, vocab):
         return Tagger.load(self.path / 'pos', vocab)