From 20299b30b2cc1acf0c96ec9f443a768ebea1f32a Mon Sep 17 00:00:00 2001
From: Rob Speer <rob@luminoso.com>
Date: Tue, 7 Jul 2015 18:18:27 -0400
Subject: [PATCH] fix duplication

Former-commit-id: d4d7b2f72e95cc7fcd3209434b33dfafb10d2528
---
 wordfreq/__init__.py | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/wordfreq/__init__.py b/wordfreq/__init__.py
index b10d635..63c4c26 100644
--- a/wordfreq/__init__.py
+++ b/wordfreq/__init__.py
@@ -230,10 +230,9 @@ def word_frequency(word, lang, wordlist='combined', minimum=0.):
       - Full text of Wikipedia
       - A sample of 72 million tweets collected from Twitter in 2014,
         divided roughly into languages using automatic language detection
-      - Google Books Syntactic Ngrams 2013
       - Frequencies extracted from OpenSubtitles
       - The Leeds Internet Corpus
-      - Google Books Ngrams and Google Books Syntactic Ngrams
+      - Google Books Syntactic Ngrams 2013
 
     Another available wordlist is 'twitter', which uses only the data from
     Twitter.