Mutual Intelligibility Percent Pair Lookup

Audit actual two-direction word-comprehension test counts with asymmetric rates and observed-word pooling; absent direction stays −1 with explicit evidence flag, not assumed mutual intelligibility or a population-language percentage.

Description

Comprehension can differ by testing direction.

Comprehension can differ by testing direction. Pooling observed words weights directions by their actual test sizes.^[1]

Enter exactly two nonnegative integer comprehension/test counts with comprehension≤tested and positive combined tests. Return directional rates, pooled rate and first −second points when both observed.

When to use Mutual Intelligibility Percent Pair Lookup

Use Mutual Intelligibility Percent Pair Lookup when you need to evaluate the supplied records under the calculation and evidence rules below. Absent rates and unavailable difference use −1; consult both-directions flag because a real difference can also be−1. No population mutual-intelligibility claim is inferred.

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 Mutual Intelligibility Percent Pair Lookup 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 comprehendedWordCountsByDirection, testedWordCountsByDirection using the field table and calculation rules, then run the tool.
Read directionalObservedComprehensionPercents, pooledObservedComprehensionPercent, signedFirstMinusSecondDirectionPoints, bothDirectionsObserved. 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
comprehendedWordCountsByDirection	Comprehended word counts by direction	list of number	Required
testedWordCountsByDirection	Tested word counts by direction	list of number	Required

direction%=100comprehended/tested; pooled%=100sum(comprehended)/sum(tested)

Units, indexing, boundary conditions and exceptional cases are defined in the calculation rules above.

Output field	Meaning	Value type
directionalObservedComprehensionPercents	Directional observed comprehension percents	list of number
pooledObservedComprehensionPercent	Pooled observed comprehension percent	number
signedFirstMinusSecondDirectionPoints	Signed first minus second direction points	number
bothDirectionsObserved	Both directions observed	boolean

json

{
  "input": {
    "comprehendedWordCountsByDirection": [
      8,
      3
    ],
    "testedWordCountsByDirection": [
      10,
      10
    ]
  },
  "output": {
    "directionalObservedComprehensionPercents": [
      80,
      30
    ],
    "pooledObservedComprehensionPercent": 55,
    "signedFirstMinusSecondDirectionPoints": 50,
    "bothDirectionsObserved": true
  }
}

Limitations and assumptions

Absent rates and unavailable difference use −1; consult both-directions flag because a real difference can also be−1. No population mutual-intelligibility claim is inferred.

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 R-Dropping Dialect Classifier: Observed r retention depends on phonological context. Missing contexts cannot establish a complete nonrhotic pattern. For a complementary task, use Castilian Distinción Theta Check: Distinción is screened from observed s versus c/z lexical sets and actual realizations. Both sets are needed to support a distinction pattern.

References

Mutual Intelligibility Percent Pair Lookup — tool.io

Similar or alternative tools

R-Dropping Dialect Classifier
Observed r retention depends on phonological context. Missing contexts cannot establish a complete nonrhotic pattern.
Castilian Distinción Theta Check
Distinción is screened from observed s versus c/z lexical sets and actual realizations. Both sets are needed to support a distinction pattern.