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Looks like a bug, you can just seep through the output and compare it word by word omitting extra words. |
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I find a problem in the text-enhancement's output. May be it is not an issue but I hope I can get some help to solve it. Currently I am trying to perform the re-punctuation on the out come of my other ASR model.
Input:
in the next panel you will meet cathy n davidson founding director of the futures initiative mary beard professor of classics of the university of cambridge martin professor of integrative medicine at karolinska institutet and kilo nobel prize laureate in physics in two thousand nineteen the topic is the future of higher education and moderator is adam smith thank you to the nobel prize committee for hosting this forum on the challenges of education and thank you to all of you in the audience who are taking time out from your very limited lives to be here to day that means you care and i think there's no subject more important to care about right now than education economist mariana moscato has said we should be thinking ahead to twenty twenty three in other words hopefully the time when the pandemic is passed away thinking about what it means to return to normal
Output:
In the next panel you will meet Cathy n Davidson, founding director of the Futures Initiative, Mary Beard, Professor of Classics of the University of Cambridge, Martin, Professor of Integrative medicine at Karolinska Institutet and Kilo Nobel Prize Laureate in Physics in two thousand nineteen. The topic is the future of higher education and moderator is Adam Smith. Thank you to the Nobel Prize Committee for hosting this forum on the challenges of education and thank you to all of you in the audience who are taking time out from your very limited lives to be here to day that means you care and i think there's no subject more important to care about right now than education. Economist Mariana Moscato has said we should be thinking ahead to twenty twenty-three. In In other words, hopefully, the time when the pandemic is passed away, thinking about what it means to return to normal.
As you can see that an additive 'In' was added to the result in the last sentence. I wonder why this would happen because the re-punctuation seems should not add any additive word to the input, isn't it? May I ask how can i solve it or where i may find the source code of how the capitalized word was added in this model? Many thanks
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