Can I generate/replicate an entirely new text using an autoencoder trained on a different set of text?

I am working on text generation and taking help of the following example:

https://in.mathworks.com/help/deeplearning/ug/generate-text-using-autoencoders.html

This code is running well and good. I have tested this code by giving different input text and then generating the same input text as output. Let us suppose, this trained autoencoder for text generation is named as "AE"

Now, my query is: Is it possible to generate an entiely new set of input text using the earlier trained autoencoder "AE"?

Feel free to comment if my query is not clear.

Answer 1

[Sanju]

Hi NAVNEET NAYAN ,

Yes, it is possible to generate an entirely new set of input text using the trained autoencoder "AE". Once the autoencoder is trained, you can use it to generate new text by sampling from the latent space and decoding the samples back into text. This can be done by randomly sampling from a normal distribution and passing the samples through the decoder part of the autoencoder.

Here's an example code snippet to generate new text using the trained autoencoder "AE",

% Generate new text using the trained autoencoder "AE"
latentDim = size(AE.Encoder.Weights, 2); % Get the dimension of the latent space
numSamples = 10; % Number of text samples to generate

% Generate random samples from a normal distribution
latentSamples = randn(numSamples, latentDim);

% Decode the latent samples into text
generatedText = predict(AE.Decoder, latentSamples);

% Display the generated text
disp(generatedText);

This code snippet generates 10 new text samples by sampling from the latent space and decoding the samples using the decoder part of the autoencoder "AE". You can adjust the number of samples to generate as per your requirement.

You can also refer to the following documentation for more information,

https://www.mathworks.com/help/deeplearning/ug/define-text-decoder-model-function.html

Hope this helps!

[NAVNEET NAYAN]

Thank you for your answer. You have explained it properly. Seems like my statement in the question was not clear. Apologies for this.

My query is: My trained autoencoder is "AE". This AE was trained on a different set of text. Now, I give new input text, let us say "Sanju cleared my doubts by answering my question". I want to generate this new input text with the help of earlier trained autoencoder "AE". Is it possible to do so?

Hope I am able to explain my query this time. In case, if it not clear please feel free to discuss.

[Sanju]

Yes, you can use a pre-trained autoencoder for text generation in MATLAB. The process involves encoding an input text into a latent representation using the pre-trained autoencoder and then decoding the latent representation to generate new text.

Here's an example,

% Load the pre-trained autoencoder
load('pretrainedAE.mat');

% Define the new input text
newText = "Sanju cleared my doubts by answering my question";

% Encode the new input text
encodedText = encode(pretrainedAE, newText);

% Decode the encoded text to generate the new text
decodedText = decode(pretrainedAE, encodedText);

% Display the generated text
disp(decodedText);

In this example, we load the pre-trained autoencoder from the file 'pretrainedAE.mat'. Then, we define the new input text as a string. Next, we encode the new input text using the pre-trained autoencoder. Finally, we decode the encoded text to generate the new text. The generated text is then displayed.

Please note that the success of generating meaningful text depends on the quality of the pre-trained autoencoder and the similarity of the new input text to the training data.

[NAVNEET NAYAN]

Thank You for answering the question.

But, the input arguments to use encode function is "matrix | cell array of image data | array of single image data".

When I tried using text as input to encode function, it throws an error stating the same issue "The input data for this autoencoder must be either a cell array of images or a matrix of single image data."

[Sanju]

the encode function in MATLAB's autoencoder only accepts image data as input, either in the form of a matrix or a cell array of images. It is not designed to handle text data directly.

I gave the above code as an example implementation,

To use an autoencoder for text data, you would need to convert the text into a numerical representation,before feeding it into the autoencoder. Once the text is encoded numerically, you can then use the autoencoder for further processing.