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1. predict_textual_coherence predict_textual_coherence Public

   An RNN-LSTM based model to predict if a given paragraph is textually coherent or not. This model is trained on the CNN coherence corpus and performs quite well with 96% accuracy and 0.96 F1 score

   Python

2. transformer_language_model transformer_language_model Public

   The following is the code for a decoder based language model, similar to the architecture principle of GPT. The task of this language model is to predict the next word given the previous history.

   Python

3. language_modelling language_modelling Public

   Language models built on Knesser Ney smoothing, Witten Bell Smoothing and LSTM's

   Python

4. Neural_Pos_Tagging-English Neural_Pos_Tagging-English Public

   A Neural Parts of speech tagger for English built using long short term memory networks

   Python

5. Word2Vec Word2Vec Public

   An implementation of CBOW technique of Word2Vec using negative Sampling

   Python

6. ELMO ELMO Public

   ELMO: Get contextual word embeddings for downstream tasks such as sentiment analysis, natural language inference

   Python