How to improve performance of a topic modelling system when testing on misspelled words or new words ?

Tshephisho Joseph Sefara @Tshephisho_Sefara2

06 June 2018 1 525 Report

Should I also use misspelled words during training?

I'm looking for methodologies or with relevant research papers.

Mohamed Abdallah Turky

Good Study

Automated misspelling detection and correction in clinical free-text records

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Are there any data augmentation techniques for speech data set?

Any suggestions in this regard will be appreciated.Thanks!

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How to evaluate a text-to-speech program?

Standard methodology

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What are the must-read papers on text-to-speech synthesis?

List of references or top authors in this field.

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Is it important to one-hot encode data before training with convolutional neural networks?

Lets say the data is in a form of text. I'm looking for ways or representation that can be used before throwing my data to a convolutional neural network.

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Which neural network type is best for speech recognition and speech synthesis?

Give reference if possible

05 June 2018 4,109 0 View

How to combine convolutional neural network with stemming to learn word formation?

CNN or LSTM or any deep learning algorithm You can give few Keras implementation

05 June 2018 9,496 3 View

How is deep learning different from convolutional neural networks?

Is a CNN a type of deep learning?

05 June 2018 2,981 0 View

Topic modelling is learned on words. Can it be learned on n-grams?

List references. And python notebook.

05 June 2018 7,118 4 View

Are there any tutorials for text-to-speech synthesis using neural networks?

or deep learning approach

05 June 2018 5,026 1 View

What are the steps to make text-to-speech synthesis (TTS) system from the scratch in deep learning?

I'm looking for best references. From scratch means training a voice from sample recordings.

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