Update docs and change integer IDs to hash values

website/docs/api/span.jade

@@ -355,7 +355,7 @@ p
     +row
         +cell #[code ent_id]
         +cell int
-        +cell The integer ID of the named entity the token is an instance of.
+        +cell The hash value of the named entity the token is an instance of.
 
     +row
         +cell #[code ent_id_]

website/docs/api/token.jade

@@ -397,13 +397,15 @@ p The L2 norm of the token's vector representation.
     +row
         +cell #[code shape_]
         +cell unicode
+        +cell
             |  Transform of the tokens's string, to show orthographic features.
             |  For example, "Xxxx" or "dd".
 
     +row
         +cell #[code prefix]
         +cell int
-        +cell Integer ID of a length-N substring from the start of the
+        +cell
+            |  Hash value of a length-N substring from the start of the
             |  token. Defaults to #[code N=1].
 
     +row
@@ -417,7 +419,8 @@ p The L2 norm of the token's vector representation.
         +cell #[code suffix]
         +cell int
         +cell
-            |  Length-N substring from the end of the token. Defaults to #[code N=3].
+            |  Hash value of a length-N substring from the end of the token.
+            |  Defaults to #[code N=3].
 
     +row
         +cell #[code suffix_]

website/docs/api/vocab.jade

@@ -36,7 +36,7 @@ p Create the vocabulary.
         +cell #[code strings]
         +cell #[code StringStore]
         +cell
-            |  A #[code StringStore] that maps strings to integers, and vice
+            |  A #[code StringStore] that maps strings to hash values, and vice
             |  versa.
 
     +footrow
@@ -74,7 +74,7 @@ p
     +row
         +cell #[code id_or_string]
         +cell int / unicode
-        +cell The integer ID of a word, or its unicode string.
+        +cell The hash value of a word, or its unicode string.
 
     +footrow
         +cell returns

website/docs/usage/_spacy-101/_pos-deps.jade

@@ -12,7 +12,7 @@ p
 p
     |  Linguistic annotations are available as
     |  #[+api("token#attributes") #[code Token] attributes]. Like many NLP
-    |  libraries, spaCy #[strong encodes all strings to integers] to reduce
+    |  libraries, spaCy #[strong encodes all strings to hash values] to reduce
     |  memory usage and improve efficiency. So to get the readable string
     |  representation of an attribute, we need to add an underscore #[code _]
     |  to its name:

website/docs/usage/_spacy-101/_serialization.jade

@@ -43,7 +43,7 @@ p
 +aside("Why saving the vocab?")
     |  Saving the vocabulary with the #[code Doc] is important, because the
     |  #[code Vocab] holds the context-independent information about the words,
-    |  tags and labels, and their #[strong integer IDs]. If the #[code Vocab]
+    |  tags and labels, and their #[strong hash values]. If the #[code Vocab]
     |  wasn't saved with the #[code Doc], spaCy wouldn't know how to resolve
     |  those IDs – for example, the word text or the dependency labels. You
     |  might be saving #[code 446] for "whale", but in a different vocabulary,

website/docs/usage/dependency-parse.jade

@@ -48,7 +48,7 @@ p
     |  #[strong connected by a single arc] in the dependency tree. The term
     |  #[strong dep] is used for the arc label, which describes the type of
     |  syntactic relation that connects the child to the head. As with other
-    |  attributes, the value of #[code .dep] is an integer. You can get
+    |  attributes, the value of #[code .dep] is a hash value. You can get
     |  the string value with #[code .dep_].
 
 +code("Example").

website/docs/usage/entity-recognition.jade

@@ -20,7 +20,7 @@ p
     |  The standard way to access entity annotations is the
     |  #[+api("doc#ents") #[code doc.ents]] property, which produces a sequence
     |  of #[+api("span") #[code Span]] objects. The entity type is accessible
-    |  either as an integer ID or as a string, using the attributes
+    |  either as a hash value or as a string, using the attributes
     |  #[code ent.label] and #[code ent.label_]. The #[code Span] object acts
     |  as a sequence of tokens, so you can iterate over the entity or index into
     |  it. You can also get the text form of the whole entity, as though it were
@@ -78,7 +78,7 @@ p
     doc = nlp(u'Netflix is hiring a new VP of global policy')
     # the model didn't recognise any entities :(
 
-    ORG = doc.vocab.strings[u'ORG'] # get integer ID of entity label
+    ORG = doc.vocab.strings[u'ORG'] # get hash value of entity label
     netflix_ent = Span(doc, 0, 1, label=ORG) # create a Span for the new entity
     doc.ents = [netflix_ent]