Seq2Seq 1

Create a Character-based Seq2Seq model using Python and Tensorflow

In this article, I will share my findings on creating a character-based Sequence-to-Sequence model (Seq2Seq) and I will share some of the results I have found. All of this is just a tiny part of my Master Thesis and it took quite a while for me to learn how to convert the theoretical concepts into practical models. I will also share the lessons that I have learned.

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spelling scaled

Implement spelling correction using Language Models

Spelling correction is not a trivial task for a computer. Better and better models are invented to tackle problems such as spelling correction. Language models are the kind of models that are being used for this task. Language models are also used for correcting errors in speech recognition, machine translation, for language and authorship identification, text compression and topic relevance ranking. In this article, language models are being used for a simple spelling correction application.

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