String matching using repeating neural networks

Recently, I began to study repetitive neural networks. So far I have been training a character level language model on tensorFlow using the Andrej Karpathy blog . It works great.

However, I could not find research on using RNN to match strings or identify keywords. For one of my projects, I need OCR of scanned documents, and then the converted text is analyzed for key data points. Most string matching methods do not include OCR conversion errors, resulting in a significant error.

Is it possible to teach RNN variations of the converted text that I receive and use it to search for keywords.

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