PATENT CLAIM ANALYSIS

Application Number: 16160963
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["704", "009000"]

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.

Claim (Index 1):
Non-transitory computer storage having stored thereon executable code that instructs a computer system to perform a method of analysis and interaction with a user to efficiently address readability issues by improving clarity and brevity of text, the method comprising:\n accepting and storing input text; providing a user interface through a plug-in to a word processing application, configured to display the stored input text; accessing a rules database of rules and other information used by the method during analysis, the database including multiple rules configured for application to portions of text that include at least one character string selected from the following \u201cto be\u201d verbs: \u201cbe\u201d, \u201cis\u201d, \u201cwas\u201d, \u201care\u201d, \u201cbeing\u201d, \u201cam\u201d, \u201cwere\u201d, and \u201cbeen\u201d, said rules comprising one or more rules addressing passive voice problems; when initiated by a user through the user interface, analyzing input text by performing the following steps: identifying target text (if any) that includes at least one of the following \u201cto be\u201d verbs: \u201cbe\u201d, \u201cis\u201d, \u201cwas\u201d, \u201care\u201d, \u201cbeing\u201d, \u201cam\u201d, \u201cwere\u201d, and \u201cbeen\u201d; applying to the input text a rule, or multiple rules, associated with that target text; alerting the user to the possible occurrence of a readability issue where the target text contains at least a \u201cto be\u201d verb and at least one past participle immediately following that verb; wherein if a portion of the input text containing the target text is present and not precluded by any false positive list, the interface: draws a user's attention to the target text by modifying its appearance within the word processing application; and proposes a related edit to the user comprising removal or modification of words or phrases from the portion of the input text by displaying the target text in context such that the user can simultaneously see a pre-edit version thereof on the same screen as the proposal for revision; wherein modifying the appearance of the target text within the word processing application comprises maintaining its context within the scanned text but altering its appearance or the appearance of the graphical space adjacent thereto and simultaneously displaying a suggestion for the user to make a revision with respect to such readability issue, said suggestion provided via a display of text relating to the readability issue on the same screen as the target text; and wherein the interface provides a consistently-positioned interactive panel allowing a user to repeatedly accept or repeatedly reject edits while viewing the modified portion of the scanned text and simultaneously maintaining the position of a cursor within the interactive panel.

Metadata:
- Claim Count in Document: 80.0
- Percentile: 97.0
- Lexical Diversity: 1.52703
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['11853648', '11853551', '11853628', '11853561', '14268460']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2668920392200479
- 35 USC 102 Novelty (BERT): 0.5214040668706901
- Combined Prediction Score: 0.2923432419851122
- Mean Citation Score: 298.376264
- Max Citation Score: 322.41
- Similarity Product: 246.6745081043244

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test