Romance Latin Root Percent Estimate
Audit Latin-origin share of caller classified lexeme inventory, separately exposing unknown weight and conditional versus all-observation denominators; no embedded language-wide ancestry percentages or verified etymology.
Description
An origin-share inventory needs separate denominators for classified and all observed weight.
An origin-share inventory needs separate denominators for classified and all observed weight. Unknown origin should remain visible.1
Enter aligned nonempty nonnegative integer weights and origin codes 0other/1Latin/2unknown with positive total. Return both Latin shares, unknown percentage and classified-evidence flag.
When to use Romance Latin Root Percent Estimate
Use Romance Latin Root Percent Estimate when you need to evaluate the supplied records under the calculation and evidence rules below. All-unknown classified share is −1. No etymology verification or language-wide ancestry percentage is supplied.
Prepare explicit text tokens, annotated language observations, caller mappings or a supported locale as requested. Preserve source evidence and the stated Unicode counting convention.
How to use Romance Latin Root Percent Estimate and understand its results
- Prepare explicit text tokens, annotated language observations, caller mappings or a supported locale as requested. Preserve source evidence and the stated Unicode counting convention.
- Enter weightedLexemeCounts, callerOriginCodesOtherLatinUnknown using the field table and calculation rules, then run the tool.
- Read latinShareAmongClassifiedPercent, latinShareOfAllObservedWeightPercent, unknownOriginWeightPercent, classifiedEvidenceAvailable. The explanation below defines the units, signs, ordering and any flags or placeholder values.
- If the tool reports an input issue, correct the values and run it again. Apply the stated assumptions when interpreting a successfully returned result.
| Input field | Meaning | Value type; see rules below | Requirement |
|---|---|---|---|
| weightedLexemeCounts | Weighted lexeme counts | list of number | Required |
| callerOriginCodesOtherLatinUnknown | Caller origin codes other latin unknown | list of number | Required |
Enter aligned nonempty nonnegative integer weights and origin codes 0other/1Latin/2unknown with positive total. Return both Latin shares, unknown percentage and classified-evidence flag.
classifiedLatin%=100Latin/(total−unknown); allLatin%=100Latin/total Units, indexing, boundary conditions and exceptional cases are defined in the calculation rules above.
| Output field | Meaning | Value type |
|---|---|---|
| latinShareAmongClassifiedPercent | Latin share among classified percent | number |
| latinShareOfAllObservedWeightPercent | Latin share of all observed weight percent | number |
| unknownOriginWeightPercent | Unknown origin weight percent | number |
| classifiedEvidenceAvailable | Classified evidence available | boolean |
{
"input": {
"weightedLexemeCounts": [
2,
1,
1
],
"callerOriginCodesOtherLatinUnknown": [
1,
0,
2
]
},
"output": {
"latinShareAmongClassifiedPercent": 66.66666666666667,
"latinShareOfAllObservedWeightPercent": 50,
"unknownOriginWeightPercent": 25,
"classifiedEvidenceAvailable": true
}
}Limitations and assumptions
All-unknown classified share is −1. No etymology verification or language-wide ancestry percentage is supplied.
Numeric inputs, where present, must be finite. Follow the calculation-specific rules for overflow, underflow and exceptional cases. Numeric lists are limited to 10,000 entries; string lists to 128 strings of at most 128 characters each. The rules above may impose smaller limits. Missing required fields, extra fields, wrong value types and violations of the calculation rules are input errors. A successfully returned false flag is an evaluated outcome; its meaning is explained above.
Alternative or Complementary methods
Use Arabic Three-Letter Root Share: Root-length shares describe an already identified Arabic-root sample. Counting letters is separate from extracting roots from words. For a complementary task, use Semantic Shift Type Classifier: Meaning extensions can be modeled as sets of referents. Gained and lost members distinguish broadening, narrowing and overlapping changes.
References
-
Romance Latin Root Percent Estimate — tool.io
Similar or alternative tools
- Arabic Three-Letter Root Share
Root-length shares describe an already identified Arabic-root sample. Counting letters is separate from extracting roots from words.
- Semantic Shift Type Classifier
Meaning extensions can be modeled as sets of referents. Gained and lost members distinguish broadening, narrowing and overlapping changes.