Cyclic feeding interactions between finite-state mal-rules

An algorithm for the optimal grouping and ordering of mal-rules

Authors

DOI:

https://doi.org/10.7557/12.6306

Keywords:

learner errors, mal-rules, Russian, rule ordering, finite-state transducer

Abstract

Intelligent Language Tutoring Systems typically attempt to automatically diagnose learner errors in order to provide individualized feedback. One common approach is the use of mal-rules to extend normative grammars by licensing specific types of learner errors. In finite-state morphologies, mal-rules can be implemented as two-level rules or replace rules. However, unlike the phonological rules of natural languages, mal-rules do not necessarily behave as a coherent system, especially with respect to feeding interactions. Using examples from learner errors attested in the RULEC corpus of Russian learner texts, we illustrate the problem of cyclic feeding interactions that can occur between mal-rules. We then describe a formal algorithm for identifying an optimal ordering for mal-rules to be applied to a transducer.

Author Biographies

Robert Reynolds, Brigham Young University

Assistant Research Professor,

Office of Digital Humanities

Laura Janda, UiT The Arctic University of Norway

Department of Language and Linguistics, professor

Tore Nesset, UiT The Arctic University of Norway

Professor, Dept. of Language and Culture

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Published

2022-08-30