A Mixed-principle Rule-based Approach to the Automatic Syllabification of Serbian | Zendy

Aniko Kovač | Zendy; Maja Gligora Marković | Zendy

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A Mixed-principle Rule-based Approach to the Automatic Syllabification of Serbian

Author(s) -

Aniko Kovač,

Maja Gligora Marković

Publication year - 2019

Publication title -

contributions to contemporary history

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.213

H-Index - 4

eISSN - 2463-7807

pISSN - 0353-0329

DOI - 10.51663/pnz.59.1.06

Subject(s) - sonority hierarchy , serbian , syllabification , computer science , intuition , artificial intelligence , natural language processing , rule based system , grammar , linguistics , speech recognition , psychology , philosophy , syllable , cognitive science

In this paper, we present a mixed-principle rule-based approach to the automatic syllabification of Serbian, based on prescriptive rules from traditional grammar in combination with the Sonority Sequencing Principle. We explore the problems and limitations of the existing rule set and sonority-based approaches, introduce an algorithm that utilizes both means in an attempt to produce a more accurate segmentation of words into syllables that is better aligned with the intuition of the native speakers, and present the statistical data related to the distribution of syllables and their structure in Serbian.

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