Abstract: Computer-based processes are disclosed for analyzing and improving document readability. Document readability is improved by using rules and associated logic to automatically detect various types of writing problems and to make and/or suggest edits for eliminating such problems. Many of the rules seek to generate more concise formulations of the analyzed sentences, such as by eliminating unnecessary words, rearranging words and phrases, and making various other types of edits. Proposed edits can be conveyed, e.g., through a word processing platform, by changing the visual appearance of text to indicate how the text would appear with (or with and without) the edit.

Abstract: Computer-based processes are disclosed for analyzing and improving document readability. Document readability is improved by using rules and associated logic to automatically detect various types of writing problems and to make and/or suggest edits for eliminating such problems. Many of the rules seek to generate more concise formulations of the analyzed sentences, such as by eliminating unnecessary words, rearranging words and phrases, and making various other types of edits. Proposed edits can be conveyed, e.g., through a word processing platform, by changing the visual appearance of text to indicate how the text would appear with (or with and without) the edit.

Abstract: Computer-based processes are disclosed for analyzing and improving document readability. Document readability is improved by using rules and associated logic to automatically detect various types of writing problems and to make and/or suggest edits for eliminating such problems. Many of the rules seek to generate more concise formulations of the analyzed sentences, such as by eliminating unnecessary words, rearranging words and phrases, and making various other types of edits. Proposed edits can be conveyed, e.g., through a word processing platform, by changing the visual appearance of text to indicate how the text would appear with (or with and without) the edit.

Abstract: Computer-based processes are disclosed for analyzing and improving document readability. Document readability is improved by using rules and associated logic to automatically detect various types of writing problems and to make and/or suggest edits for eliminating such problems. Many of the rules seek to generate more concise formulations of the analyzed sentences, such as by eliminating unnecessary words, rearranging words and phrases, and making various other types of edits. Proposed edits can be conveyed, e.g., through a word processing platform, by changing the visual appearance of text to indicate how the text would appear with (or with and without) the edit.

Abstract: Computer-based processes are disclosed for analyzing and improving document readability. Document readability is improved by using rules and associated logic to automatically detect various types of writing problems and to make and/or suggest edits for eliminating such problems. Many of the rules seek to generate more concise formulations of the analyzed sentences, such as by eliminating unnecessary words, rearranging words and phrases, and making various other types of edits. Proposed edits can be conveyed, e.g., through a word processing platform, by changing the visual appearance of text to indicate how the text would appear with (or with and without) the edit.

Abstract: Computer-based processes are disclosed for analyzing and improving document readability. Document readability is improved by using rules and associated logic to automatically detect various types of writing problems and to make and/or suggest edits for eliminating such problems. Many of the rules seek to generate more concise formulations of the analyzed sentences, such as by eliminating unnecessary words, rearranging words and phrases, and making various other types of edits. Proposed edits can be conveyed, e.g., through a word processing platform, by changing the visual appearance of text to indicate how the text would appear with (or with and without) the edit.

Abstract: Computer-based processes are disclosed for analyzing and improving document readability. Document readability is improved by using rules and associated logic to automatically detect various types of writing problems and to make and/or suggest edits for eliminating such problems. Many of the rules seek to generate more concise formulations of the analyzed sentences, such as by eliminating unnecessary words, rearranging words and phrases, and making various other types of edits.

Abstract: Computer-based processes are disclosed for analyzing and improving document readability. Document readability is improved by using rules and associated logic to automatically detect various types of writing problems and to make and/or suggest edits for eliminating such problems. Many of the rules seek to generate more concise formulations of the analyzed sentences, such as by eliminating unnecessary words, rearranging words and phrases, and making various other types of edits.

Abstract: Disclosed are systems and methods for analyzing and improving document readability. For example, a method of automatic text evaluation is disclosed. The method can include the following steps: detecting whether a particular writing problem exists in text that is technically grammatically correct; scanning for at least one sign that indicates the possible occurrence or absence of the writing problem, the at least one sign comprising the term “that”; and implementing correction logic for correcting the problem. The correction logic can specify a proposed edit, which can include, for example: deleting text; adding text; and/or reordering text. Various other rules for improving text are also disclosed.

Abstract: Disclosed are systems and methods for analyzing and improving document readability. For example, a method of text analysis is disclosed that can deal with problems related nominalizations in text. Such a method can include the following steps: ascertaining automatically whether or not at least one sign is present in text, the sign relating to a possible writing problem, the sign comprising a characteristic of nominalizations; and proposing an edit to a user, the edit comprising changing a nominalization if the sign is determined to not be a false positive. Various other rules for improving text are also disclosed.

Abstract: Disclosed are systems and methods for analyzing and improving document readability. For example, a writing improvement method is disclosed that can deal with problems related to the word “what” in text. Such a method can include the following steps: detecting whether a particular writing problem exists in text by searching for a sign that indicates the possible occurrence or absence of the writing problem, the sign comprising the term “what”; and if the sign is located, applying logic. If the logic indicates an edit is appropriate, a proposed edit can be specified, and the edit can be a change to the text. Various other rules for improving text are also disclosed.

Abstract: Disclosed are systems and methods for analyzing and improving document readability. For example, a method of reducing writing problems in existing prose is disclosed that can deal with problems related to the word “it” in text. Such a method can include the following steps: scanning prose to determine whether a particular writing problem exists in the prose; determining if at least one sign is present, the sign indicating a possible occurrence or absence of the writing problem, the sign comprising the word “it”; and specifying a proposed edit to a user of the method, the proposed edit changing the prose in a way that addresses the writing problem. Various other rules for improving text are also disclosed.

Abstract: Disclosed are systems and methods for analyzing and improving document readability. For example, a computer-implementable method of improving authored text is disclosed that can identify passive voice text within authored text by performing the following steps: scanning for a “to be” verb in the text; identifying from the scan an occurrence of a “to be” verb; scanning for a past participle in the text; identifying from the scan an occurrence of a past participle in the text; and providing information to a user regarding a proposed edit to improve the text. Various other rules for improving text are also disclosed.