1. A method for determining an uncertainty across a word space in text, comprising the steps of: a) providing text input; b) providing a database of function words that express grammatical or syntactic relationships with other words in a sentence; d) examining a plurality of words of the text input; e) identifying each of the plurality of words as one of the function words in the database or as a content word if the word being identified is not in the database; f generating n-gram frequency counts for each unique pseudo-syntactic hybrid, wherein each of the unique pseudo-syntactic hybrids is an n-gram composed of at least one of the following: a lexical identity, a lexeme, a lexical category, and an open-class word; h) repeating steps d-f for a next plurality of words until end text input is reached; and g) using the n-gram frequency counts to compute the uncertainty for each of the unique pseudo-syntactic hybrids; h) formatting widths of the word spaces in the text based upon the uncertainty to improve a human reading experience; wherein the lexical identity is the word, the lexeme is the set of forms a word can take, the lexical category is a part of speech of the word, and the open-class word is a content word that lacks syntactic information.
1. A method for determining an uncertainty across a word space in text, comprising the steps of: a) providing text input; b) providing a database of function words that express grammatical or syntactic relationships with other words in a sentence; d) examining a plurality of words of the text input; e) identifying each of the plurality of words as one of the function words in the database or as a content word if the word being identified is not in the database; f generating n-gram frequency counts for each unique pseudo-syntactic hybrid, wherein each of the unique pseudo-syntactic hybrids is an n-gram composed of at least one of the following: a lexical identity, a lexeme, a lexical category, and an open-class word; h) repeating steps d-f for a next plurality of words until end text input is reached; and g) using the n-gram frequency counts to compute the uncertainty for each of the unique pseudo-syntactic hybrids; h) formatting widths of the word spaces in the text based upon the uncertainty to improve a human reading experience; wherein the lexical identity is the word, the lexeme is the set of forms a word can take, the lexical category is a part of speech of the word, and the open-class word is a content word that lacks syntactic information. 3. The method of claim 1 , wherein the text input is the n-gram frequency counts are generated from a corpus.