Update README.md

python/examples/imdb/README.md

-## IMDB评论情绪预测服务
+## IMDB comment sentiment inference service
 
+([简体中文](./README_CN.md)|English)
 
-### 获取模型文件和样例数据
+### Get model files and sample data
 
 ```
 sh get_data.sh
 ```
-脚本会下载和解压出cnn、lstm和bow三种模型的配置文文件以及test_data和train_data。
+the package downloaded contains cnn, lstm and bow model config along with their test_data and train_data.
 
-### 启动RPC预测服务
+### Start RPC inference service
 
 ```
 python -m paddle_serving_server.serve --model imdb_cnn_model/ --port 9292
 ```
-### 执行预测
+### RPC Infer
 ```
 head test_data/part-0 | python test_client.py imdb_cnn_client_conf/serving_client_conf.prototxt imdb.vocab
 ```
-预测test_data/part-0的前十个样例。
 
-### 启动HTTP预测服务
+it will get predict results of the first 10 test cases.
+
+### Start HTTP inference service
 ```
 python text_classify_service.py imdb_cnn_model/ workdir/ 9292 imdb.vocab
 ```
-### 执行预测
+### HTTP Infer
 
 ```
 curl -H "Content-Type:application/json" -X POST -d '{"words": "i am very sad | 0", "fetch":["prediction"]}' http://127.0.0.1:9292/imdb/prediction
@@ -31,13 +33,13 @@ curl -H "Content-Type:application/json" -X POST -d '{"words": "i am very sad | 0
 
 ### Benchmark
 
-设备 ：Intel(R) Xeon(R)  Gold 6271 CPU @ 2.60GHz * 48
+CPU ：Intel(R) Xeon(R)  Gold 6271 CPU @ 2.60GHz * 48
 
-模型 ：[CNN](https://github.com/PaddlePaddle/Serving/blob/develop/python/examples/imdb/nets.py)
+Model ：[CNN](https://github.com/PaddlePaddle/Serving/blob/develop/python/examples/imdb/nets.py)
 
 server thread num ： 16
 
-测试中，client共发送25000条测试样本，图中数据为单个线程的耗时，时间单位为秒。可以看出，client端多线程的预测速度相比单线程有明显提升，在16线程时预测速度是单线程的8.7倍。
+In this test, client sends 25000 test samples totally, the bar chart given later is the latency of single thread, the unit is second, from which we know the predict efficiency is improved greatly by multi-thread compared to single-thread. 8.7 times improvement is made by 16 threads prediction.
 
 | client  thread num | prepro | client infer | op0    | op1   | op2    | postpro | total |
 | ------------------ | ------ | ------------ | ------ | ----- | ------ | ------- | ----- |
@@ -49,6 +51,6 @@ server thread num ： 16
 | 20                 | 0.049  | 3.77         | 0.0047 | 1.03  | 0.0025 | 0.0022  | 3.91  |
 | 24                 | 0.041  | 3.86         | 0.0039 | 0.85  | 0.002  | 0.0017  | 3.98  |
 
-预测总耗时变化规律如下：
+The thread-latency bar chart is as follow：
 
 ![total cost](../../../doc/imdb-benchmark-server-16.png)