FST Morphological Analyser and Generator for Mapud\"ungun

TL;DR

This paper presents a finite state morphological analyser and generator for Mapud"ungun, based on Smeets' grammar, which classifies and tags roots and suffixes, with an evaluation demonstrating its effectiveness.

Contribution

It introduces a computational FST-based tool for Mapud"ungun morphology, formalized with FOMA, enabling automated analysis and generation of words.

Findings

Successful implementation of the analyser and generator.

Effective classification and tagging of Mapud"ungun morphemes.

Positive evaluation results demonstrating system accuracy.

Abstract

Following the Mapuche grammar by Smeets, this article describes the main morphophonological aspects of Mapud\"ungun, explaining what triggers them and the contexts where they arise. We present a computational approach producing a finite state morphological analyser (and generator) capable of classifying and appropriately tagging all the components (roots and suffixes) that interact in a Mapuche word form. The bulk of the article focuses on presenting details about the morphology of Mapud\"ungun verb and its formalisation using FOMA. A system evaluation process and its results are also present in this article.