Possible source for real world typo statistics would be in the Wikipedia’s complete edit history.
http://download.wikimedia.org/
Also, you might be interested in the AWB’s RegExTypoFix
Related Contents:
- What are logits? What is the difference between softmax and softmax_cross_entropy_with_logits?
- Is it possible to specify your own distance function using scikit-learn K-Means Clustering?
- How to compute precision, recall, accuracy and f1-score for the multiclass case with scikit learn?
- What are the pros and cons between get_dummies (Pandas) and OneHotEncoder (Scikit-learn)?
- RuntimeError: Input type (torch.FloatTensor) and weight type (torch.cuda.FloatTensor) should be the same
- How to concatenate two layers in keras?
- Understanding min_df and max_df in scikit CountVectorizer
- What is the difference between np.mean and tf.reduce_mean?
- Accuracy Score ValueError: Can’t Handle mix of binary and continuous target
- What’s the difference between torch.stack() and torch.cat() functions?
- How to implement the ReLU function in Numpy
- What is the difference between sparse_categorical_crossentropy and categorical_crossentropy?
- How to tell Keras stop training based on loss value?
- How to save final model using keras?
- How do I find Wally with Python?
- How to add and remove new layers in keras after loading weights?
- Mixing categorial and continuous data in Naive Bayes classifier using scikit-learn
- Tensorflow One Hot Encoder?
- Save MinMaxScaler model in sklearn
- Checking fuzzy/approximate substring existing in a longer string, in Python?
- Is it possible to append Series to rows of DataFrame without making a list first?
- Unbalanced data and weighted cross entropy
- How to define max_queue_size, workers and use_multiprocessing in keras fit_generator()?
- TfidfVectorizer in scikit-learn : ValueError: np.nan is an invalid document
- What does the “fit” method in scikit-learn do? [closed]
- gradient descent using python and numpy
- How to approach a number guessing game (with a twist) algorithm?
- How to log Keras loss output to a file
- Keras accuracy does not change
- Show progress bar for each epoch during batchwise training in Keras
- How does one debug NaN values in TensorFlow?
- scikit-learn random state in splitting dataset
- RuntimeError: Attempting to deserialize object on a CUDA device
- Scikit-learn, get accuracy scores for each class
- How to install CUDA in Google Colab GPU’s
- Scikit Learn – K-Means – Elbow – criterion
- What does the standard Keras model output mean? What is epoch and loss in Keras?
- Converting LinearSVC’s decision function to probabilities (Scikit learn python )
- TensorFlow: “Attempting to use uninitialized value” in variable initialization
- Evaluate multiple scores on sklearn cross_val_score
- GridSearch for an estimator inside a OneVsRestClassifier
- RuntimeError: expected scalar type Long but found Float
- How to convert numpy arrays to standard TensorFlow format?
- Hyperparameter optimization for Pytorch model [closed]
- What does clf mean in machine learning?
- LSTM Autoencoder
- Tensorflow Precision / Recall / F1 score and Confusion matrix
- Insert or delete a step in scikit-learn Pipeline
- AdamW and Adam with weight decay
- Kmeans without knowing the number of clusters? [duplicate]