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How can I use this model on Chinese dataset? #8
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We haven't looked into this, but you could try it using BERT-Base, Chinese to initialize the model. |
I test the model on chinese GEC task and it works fine. |
May I have your email to ask some question?
…------------------ Original ------------------
From: qiuhuiGitHub <[email protected]>
Date: Wed,Mar 18,2020 1:50 PM
To: google-research/lasertagger <[email protected]>
Cc: fishfang <[email protected]>, Author <[email protected]>
Subject: Re: [google-research/lasertagger] How can I use this model on Chinese dataset? (#8)
I test the model in chinese GEC task and it works fine.
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U can use any chinese bert model by simple replace the bert path and it works fine. |
Good to know this! |
Is it a public dataset? If so, could you share a link? |
http://tcci.ccf.org.cn/conference/2018/taskdata.php The second task is GEC task. |
Could you please tell me how I can run this model on GEC task |
First I suggest you read the
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It helps a lot! Thank you! |
By the way, I want to know whether the training data on http://tcci.ccf.org.cn/conference/2018/taskdata.php |
eh, the input of the chinese bert is separate word, so you should cut the sentence into separate word. |
Hi, I also tested GEC task. But my model didn't work well, it didn't actually 'correct', it just delete every difference and even some same parts between source and target texts. I use JIEBA to cut my sentences and I thought everything was done just fine, only the results were pretty bad. Could you please tell me did you have the same problem and which score did you use? |
And can this model be helpful on Chinese dataset?
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