An interesting application of NLP compares user-generated input against a vast database of known proper English to generate suggested improvements to help readability and fluency.
By using a corpus filled with millions of real-world modern English texts, the software is capable of recommending thousands of grammatical corrections, as well as relevant adjectives, adverbs and synonyms. The Israel-based company WhiteSmoke hopes to help improve emails and documents by leaping well ahead of the limited grammar checking functions found in programs like Microsoft Word.
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