This paper presents a practical application of Answer Set Programming (ASP) in the field of Language Documentation and Reclamation (LDR). LDR involves the systematic recording, preservation, analysis, and revitalization of endangered or dormant languages to protect linguistic diversity and cultural heritage. In collaboration with linguists working on the Myaamia language, we developed a derivational stemming tool that decomposes stems into their smallest meaningful units called morphemes. We explored different solvers and representations of stems and morphemes to identify the most efficient approach for several language documentation and research tasks. The tool’s accuracy was assessed by comparing its output with the stem decompositions documented in the ILDA database for Myaamia. The stemming tool for Myaamia–a reawakening Algonquian language with a growing number of second-language speakers–can serve as a model for stemming tools that can be adapted for other Algonquian languages based on the methods detailed in this paper.

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ASP for Language Documentation and Reclamation: A Derivational Stemming Tool for Myaamia

  • Daniela Inclezan,
  • Hunter Lockwood,
  • Anita Baral,
  • Jitendra Sharma,
  • Pratiksha Shrestha

摘要

This paper presents a practical application of Answer Set Programming (ASP) in the field of Language Documentation and Reclamation (LDR). LDR involves the systematic recording, preservation, analysis, and revitalization of endangered or dormant languages to protect linguistic diversity and cultural heritage. In collaboration with linguists working on the Myaamia language, we developed a derivational stemming tool that decomposes stems into their smallest meaningful units called morphemes. We explored different solvers and representations of stems and morphemes to identify the most efficient approach for several language documentation and research tasks. The tool’s accuracy was assessed by comparing its output with the stem decompositions documented in the ILDA database for Myaamia. The stemming tool for Myaamia–a reawakening Algonquian language with a growing number of second-language speakers–can serve as a model for stemming tools that can be adapted for other Algonquian languages based on the methods detailed in this paper.