In recent times, Language Modelling has gained momentum in the field of Natural Language Processing. So, it is essential for us to think of new models and strategies for quicker and better preparation of language models. Nonetheless, because of the complexity of language, we have to deal with some of the problems in the dataset. With an increase in the size of the dataset, there is an increase in the normal number of times a word shows up in that dataset. Models performing admirably on little datasets probably won’t perform well on bigger ones.

Here, we will discuss some of the most popular datasets for word-level language modeling. Further, we will implement these datasets with the help of TensorFlow and Pytorch Library.

#developers corner #language modelling #penn treebank #tensorflow #wikitext datasets