example configuration for seq2seq.

[lcy-seso]

• In this example, we would like to show some different configuration for seq2seq task.
• Please refer to the following two configuration files:
  1. grid lstm written in old PaddlePaddle API.
  2. encoder-decoder without attention written in old PaddlePaddle API.
• The example must include the training and the generating process.
• Please pull your codes and docs into the seq2seq directory.

[lcy-seso]

please use WMT14 dataset for this example, you can refer to book chapter machine translation.

wmt14 dataset has already been pre-processed and is included into paddle.dataset package. This is a simple example.

wmt14_reader = paddle.batch(
        paddle.reader.shuffle(
            paddle.dataset.wmt14.train(dict_size=dict_size), buf_size=8192),
        batch_size=5)

[shanyi15]

您好，此issue在近一个月内暂无更新，我们将于今天内关闭。若在关闭后您仍需跟进提问，可重新开启此问题，我们将在24小时内回复您。因关闭带来的不便我们深表歉意，请您谅解~感谢您对PaddlePaddle的支持!
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