Natural Language Processing (NLP)

  1. Language Modeling
    1. Statistical Language Models
      1. N-gram Models
        1. Unigram Models
          1. Bigram Models
            1. Trigram and Higher-Order Models
              1. Parameter Estimation
              2. Smoothing Techniques
                1. Laplace Smoothing
                  1. Good-Turing Smoothing
                    1. Kneser-Ney Smoothing
                      1. Interpolation Methods
                      2. Model Evaluation
                        1. Perplexity
                          1. Cross-Entropy
                            1. Held-Out Evaluation
                          2. Neural Language Models
                            1. Feedforward Neural Networks
                              1. Recurrent Neural Networks
                                1. Transformer-Based Models
                                  1. Autoregressive vs Autoencoding
                                  2. Applications of Language Models
                                    1. Text Generation
                                      1. Speech Recognition
                                        1. Machine Translation
                                          1. Spelling Correction

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                                        3. Text Processing and Preprocessing

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                                        5. Feature Representation