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example configuration for seq2seq. #12
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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) |
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chinese_ner script update
chinese_ner script update
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