Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Text normalization is a process by which text is transformed in some way to make it consistent in a way which it might not have been before. Text normalization is often performed before text is processed in some way, such as generating synthesized speech, automated language translation, storage in a database, or comparison. While this may be done manually, and usually is in the case of ad hoc and personal documents, many programming languages support mechanisms which enable text normalization. The text normalization is useful, for example, for comparing two sequence of characters which mean the same but are represented differently. The examples of this kind of normalization include, but not limited to, "don't" vs "do not", "I'm" vs "I am", "Can't" vs "Cannot".

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