Comments (7)
We just use random initialization. The number of characters is small which is easy to learn.
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character embedding主要是更方便让模型知道每个单词长什么样,按照这个思路的话,要么模型可以多训练一下学到每个字长什么样,或者类似的可以把中文的字拆一下
from i-code.
We just use random initialization. The number of characters is small which is easy to learn.
@zinengtang 感谢回复,感觉如果应用在中文上会比较困难
from i-code.
We just use random initialization. The number of characters is small which is easy to learn.
@zinengtang 后面会有计划搞多语言的版本吗
from i-code.
中文的话,因为vocabulary比较小,所以可能光是字的embedding可能就够了
from i-code.
感谢回复,不过我没太理解你这句话的意思,假如把6000个中文常用字搞成character embedding,6000的长度再加上encoder输出特征序列的长度,感觉这部分架构是不是就不太适合了
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了解
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Related Issues (20)
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