The difficult & extraneous word finder helps you write clearly and concisely by identifying possible weak points in your prose, including rare words, hard words, adverbs and extra hedge words.
Sentences with passive voice construction tends to contain extra words when compared to its active voice counterpart. Extra words make for longer sentences which can be more difficult to understand. Use Passive Voice Detector to find these overly wordy sentences.
Readability refers to the relative ease in which a written passage of text can be read and understood by others. Readability metrics, such as the Flesch-Kincaid and Gunning Fog index, are algorithmic heuristics for predicting readability and are typically based on sentence length and vocabulary. Readability metrics are most commonly used in settings where clarity is crucial. For example, some states have requirements that legal documents and health care documents have met a minimum level of readability to ensure the intended audience can understand them. Keep in mind that readability is not a measure of writing quality.
The best approach to modifying a passage's readability is to rewrite the passage. Be careful when iteratively tweaking a passage not to fall into the trap of writing for the formula. Writing to the formula could lead passages that contain shorter, choppy sentences that are actually more difficult to read despite receiving a better score.
We have provided two tools to aid rewriting a passage. The Difficult and Extraneous Word Finder can be used to explore vocabulary. It identifies rare words, and long polysyllabic words with more than three syllables. The Passive Voice Detector identifies sentences with passive structure. Passive voice is common in the scientific literature because it places the emphasis on the object being investigated rather than the author doing the investigation. Sentences with passive voice construction, however, tend to be longer, and harder to read.
This writing sample readability analyzer estimates the readability of a passage of text using the Flesch-Kincaid Reading Ease, Gunning Fog Index, Kincaide Grade Level, SMOG formula and Dale–Chall Score and Fry Reading Graph metrics.