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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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Data Blogger Courses

Mastering Pandas

In this course, you will learn how to use the Python Pandas. After the course, you will be able to:

  • Load and transform your data
  • Visualizing data using line plots, scatter plots and histograms
  • Merging and storing data

The course also includes more advanced topics, such as data parallelization and aggregation.

You can see all course content under “Curriculum” on Data Blogger Courses and the first three lessons are free. The first free lesson can be found here.

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Data Mining with Python on Medical Datasets for Data Mining


The series “Data Mining with Python on Medical Datasets for Data Mining” is a series in which several data mining techniques are highlighted. The series are written in collaboration with John Snow Labs which provided me the medical datasets. In this article basic Text Mining techniques will be highlighted and some of the results are presented.

By the way, if you are interested in Deep Learning you should definitely read this article on implementing a GRU in Python using Tensorflow.


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