Epistrophe Final Word Repetition Counter
Count exact case-sensitive whitespace-delimited lastword repetitions across caller clauses, not semantic equivalence or proof of intended rhetorical effect.
Description
Epistrophe repeats endings across successive clauses.
Epistrophe repeats endings across successive clauses.1
This counter compares exact final whitespace-delimited tokens, so punctuation and case affect the lexical matches.
When to use Epistrophe Final Word Repetition Counter
Use this tool when you need to review the specific lexical, time-budget, or annotation operation described below. Establish the language, clause boundaries, transcription basis, source context, or evidence annotations required by this particular tool.
How to use Epistrophe Final Word Repetition Counter and understand its results
- Establish the language, clause boundaries, transcription basis, source context, or evidence annotations required by this particular tool.
- Enter clauses, following the field table and calculation rules below, then run the tool.
- Read result. Inspect the nested fields in the output table below and keep any missing evidence or selected indices visible.
- Correct any input issues and run again. Before using a successful result, review its units, signs, evidence coverage, and stated model or reference assumptions.
| Input field | Meaning | Value type | Requirement |
|---|---|---|---|
| clauses | Clauses | list of string | Required |
Supply at least two nonempty explicit clauses. Trim and split on whitespace, select each last token, and count exact strings. Return only tokens occurring at least twice and their counts in first-occurrence order.
count(token)=number of clauses ending with token Read these symbols with the field meanings and branch or reference rules above.
| Output field | Meaning | Value type |
|---|---|---|
| result | Object containing the fields below | object |
| result.repeatedTokens | Repeated Tokens | list |
| result.repeatedTokenCounts | Repeated Token Counts | list |
{
"input": {
"clauses": [
"we win",
"they win",
"we lose"
]
},
"output": {
"result": {
"repeatedTokens": [
"win"
],
"repeatedTokenCounts": [
2
]
}
}
}Limitations and assumptions
Clause boundaries, transcriptions, role labels, and contextual judgments are supplied evidence. The result describes this exact lexical or annotation operation, not inferred intent, historical origin, persuasive effect, or argument soundness.
Missing required fields, unknown fields, wrong types, and violated calculation rules return input issues. Arrays must be dense, with no missing cells. Ordinary string lists allow at most 128 strings of at most 128 UTF-16 units each. Extremely large composite outputs are rejected.
Alternative or Complementary methods
For a related task, use Anaphora Initial Word Repetition Counter: Anaphora repeats beginnings across clauses. Counting exact first tokens gives a bounded lexical measure whose results depend on explicit clause boundaries and punctuation. For a complementary step, use Symploce Beginning End Combo Checker: Symploce combines repeated beginnings and endings across clauses. Exact first-and-last token matching provides a bounded lexical screen rather than a semantic analysis of an entire repeated phrase.
References
-
Epistrophe Final Word Repetition Counter — tool.io
Similar or alternative tools
- Anaphora Initial Word Repetition Counter
Anaphora repeats beginnings across clauses. Counting exact first tokens gives a bounded lexical measure whose results depend on explicit clause boundaries and punctuation.
- Symploce Beginning End Combo Checker
Symploce combines repeated beginnings and endings across clauses. Exact first-and-last token matching provides a bounded lexical screen rather than a semantic analysis of an entire repeated phrase.