Adverb Pattern Analyzer guide
Find likely English adverbs through an explainable spelling pattern and a small common-word list.
What this tool does
The Adverb Pattern Analyzer flags words ending in “-ly” after applying several exclusions, and it also checks a documented group of common adverbs that do not use that ending, such as often, never, very, well, and soon. The report ranks candidate words by frequency and identifies which matching method found them.
This can support an editing pass when a writer wants to inspect modifiers, repeated intensifiers, or clusters of manner words. Adverbs are a normal and useful part of English. A high count is not automatically weak writing, and eliminating every candidate can make a passage less accurate or natural. The value lies in reviewing whether each word adds meaning.
Spelling is not a full grammatical analysis. Some “-ly” words are adjectives, while many adverbs have other forms. The exclusion list reduces familiar false positives such as friendly, lovely, likely, early, and family, but it cannot cover every vocabulary item, dialect, name, or specialist term. The tool does not identify which verb or adjective a candidate modifies.
How to use it
- Paste an English passage into the editor.
- Select Find adverb candidates.
- Review high-frequency terms first.
- Locate each candidate in the original passage and read its sentence.
- Keep useful precision and revise only unnecessary repetition or vagueness.
Pay particular attention to broad intensifiers such as “very” and repeated manner descriptions. A specific verb can sometimes replace a verb-plus-adverb phrase, but that is an editorial choice rather than a rule.
Benefits
- Combines an “-ly” heuristic with common non-ly forms
- Excludes several frequent adjective false positives
- Shows exact evidence and frequency
- Explains how each candidate was matched
- Makes no automatic quality judgment
- Runs locally without transmitting the draft
Interpretation limits
The results are candidates, not a parsed parts-of-speech annotation. Context can change a word’s role, and the tool is designed primarily for ordinary English prose. Human review remains necessary for grammar, voice, meaning, and style decisions.