From 713a383291e0771c054f6b4454767f7e59948244 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E4=B8=80=E4=B8=AA=E9=99=8C=E7=94=9F=E4=BA=BA?=
 <546777653@qq.com>
Date: Sun, 18 Dec 2016 15:13:25 +0800
Subject: [PATCH] fix typo
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修正tutorial原文中的笔误
---
 doc/tutorials/text_generation/index_en.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/doc/tutorials/text_generation/index_en.md b/doc/tutorials/text_generation/index_en.md
index d63f5cb607..5d8e667c20 100644
--- a/doc/tutorials/text_generation/index_en.md
+++ b/doc/tutorials/text_generation/index_en.md
@@ -260,8 +260,8 @@ gru_encoder_decoder(gen_conf, is_generating)
 
 1. **Data Definiation**: We defines an SeqToSeq gen data in our example. It returns gen_conf as the configuration, following is its input arguments:
    - data\_dir: directory of gen data
-   - is\_generating: whether this config is used for generating, here is false
-   - gen\_result: file to store the generation result
+   - is\_generating: whether this config is used for generating, here is true
+   - gen\_result: file to store the generation result
 2. **Algorithm Configuration**: We use SGD traing algorithm in generation, and specify batch_size as 1 (each time generate one sequence), and learning rate as 0.
 3. **Network Architecture**: Essentially the same as the training model.
 
-- 
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