Anaphora Initial Word Repetition Counter
Count exact case-sensitive whitespace-delimited firstword repetitions across caller clauses, not semantic equivalence or proof of intended rhetorical effect.
Description
Anaphora repeats beginnings across clauses.
When to use Anaphora Initial 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 Anaphora Initial 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 clauses, trim and split on whitespace, then count their first tokens exactly. Return tokens occurring at least twice and corresponding counts in first-occurrence order. No case folding, punctuation removal, or phrase-boundary inference occurs.
count(token)=number of clauses beginning 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 rise",
"we work",
"they wait"
]
},
"output": {
"result": {
"repeatedTokens": [
"we"
],
"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 Epistrophe Final Word Repetition Counter: Epistrophe repeats endings across successive clauses. This counter compares exact final whitespace-delimited tokens, so punctuation and case affect the lexical matches. 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
-
Anaphora Initial Word Repetition Counter — tool.io
-
Silva Rhetoricae: anaphora — Gideon O. Burton, Brigham Young University
Similar or alternative tools
- Epistrophe Final Word Repetition Counter
Epistrophe repeats endings across successive clauses. This counter compares exact final whitespace-delimited tokens, so punctuation and case affect the lexical matches.
- 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.