Develop Text Prediction Models Based on N-Grams

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Documentation for package ‘wordpredictor’ version 0.0.3

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Code demos. Use demo() to run them.
• Package NEWS.

Help Pages

Base	Base class for all other classes
DataAnalyzer	Analyzes input text files and n-gram token files
DataCleaner	Provides data cleaning functionality
DataSampler	Generates data samples from text files
EnvManager	Allows managing the test environment
Model	Represents n-gram models
ModelEvaluator	Evaluates performance of n-gram models
ModelGenerator	Generates n-gram models from a text file
ModelPredictor	Allows predicting text, calculating word probabilities and Perplexity
TokenGenerator	Generates n-grams from text files
TPGenerator	Generates transition probabilities for n-grams