Accession Number:

ADA026376

Title:

Language Differentiation Based on Sound Patterns of the Spoken Word

Descriptive Note:

Master's thesis

Corporate Author:

NAVAL POSTGRADUATE SCHOOL MONTEREY CA

Personal Author(s):

Report Date:

1976-03-01

Pagination or Media Count:

191.0

Abstract:

A categorical analysis was made of five languages. The sounds of speech were simulated using written text converted via International Phonetic Alphabet IPA. The sounds of speech were identified as members of fracative, nansal, stop, or vowel categories. A statistical analysis was performed on categorical content of one at various positions in the word, two, and three sound combinations. Several attempts to achieve a differentiation scheme were made before any success was realized. Two methods for developing conditional expectation are compared Bayes Conditional Probability Rule, and Cooks Prognostic Progression. Statistical analysis and loop tests indicated that languages do have unique patterns and can be differentiated on the statistics contained in the first three sounds. One hundred percent correct decisions were achieved for as few as five words in the loop test. Limited base data negated result significance beyond three successive sounds.

Subject Categories:

  • Statistics and Probability
  • Non-Radio Communications

Distribution Statement:

APPROVED FOR PUBLIC RELEASE