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flattn's Issues

A label is omitted in CN_TN_epoch-01-28645_2.jsonl

[5, 7, "DIGIT"] is omitted of id: 4 (the text '2006-07财年，印对尼发展援助达35亿卢比(约合4700万美元)，为上一财年的3倍。') in CN_TN_epoch-01-28645_2.jsonl. I don't know whether this is the only one that is omitted in this file.
C5354A29-1F7A-4770-9188-C656F7C24BEA

some files not found

yangjie_rich_pretrain_unigram_path = '../embedding/gigaword_chn.all.a2b.uni.ite50.vec'
yangjie_rich_pretrain_bigram_path = '../embedding/gigaword_chn.all.a2b.bi.ite50.vec'
yangjie_rich_pretrain_word_path = '../embedding/ctb.50d.vec'
yangjie_rich_pretrain_char_and_word_path = '../embedding/yangjie_word_char_mix.txt'
lk_word_path = '../embedding/sgns.merge.word'

这些文件是怎么得到的？

请问是否有预训练好的模型看一下效果？

您好，
感谢有这样一个研究可以将工程人员从TTS前端的复杂低效工作中解放出来。但是是否有预训练好的模型测试一下效果呢?
因为论文中仅使用了自己设计的3W个句子数据集，且训练，验证，测试集合都出自同一个集，这样的实验结果目前没有太高的工业可用性置信度。我们之前的多音字模型，百万句以上的样本都嫌样本量少了，效果不太理想，何况这个是全部覆盖前端正则化问题的工作呢？虽然使用了BERT这样的预训练的多域先验知识，但是真实效果如何还是想先run一下，测试几个典型的样例试一下。
十分感谢！

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