2020The Canadian Journal of Linguistics / La revue canadienne de linguistiqueOpen access

Post-nasal voicing in Japanese classifiers as exceptional triggering: implications for Indexed Constraint Theory

Phillip Burness, Kevin McMullin

Open full text 0 citations

Abstract

Abstract Indexed constraints are often used in constraint-based phonological frameworks to account for exceptions to generalizations. A point of contention in the literature on constraint indexation revolves around indexed markedness constraints. While some researchers argue that only faithfulness constraints should be indexed, others argue that markedness constraints should be eligible for indexation as well. This article presents data from Japanese for which a complete synchronic analysis requires indexed markedness constraints but argues that such constraints are only necessary in cases where a phonological repair applies across a morpheme boundary. We then demonstrate that algorithms for learning grammars with indexed constraints can be augmented with a bias towards faithfulness indexation and discuss the advantages of incorporating such a bias, as well as its implications for the debate over the permissibility of indexed markedness constraints.

Open-access reader

About this research paper

What this paper is about

Abstract Indexed constraints are often used in constraint-based phonological frameworks to account for exceptions to generalizations. A point of contention in the literature on constraint indexation revolves around indexed markedness constraints. While some researchers argue that only faithfulness constraints should be indexed, others argue that markedness constraints should be eligible for indexation as well. This article presents data from Japanese for which a complete synchronic analysis requires indexed markedness constraints but argues that such constraints are only necessary in cases where a phonological repair applies across a morpheme boundary. We then demonstrate that algorithms for learning grammars with indexed constraints can be augmented with a bias towards faithfulness indexation and discuss the advantages of incorporating such a bias, as well as its implications for the debate over the permissibility of indexed markedness constraints.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Abstract Indexed constraints are often used in constraint-based phonological frameworks to account for exceptions to generalizations. A point of contention in the literature on constraint indexation revolves around indexed markedness constraints. While some researchers argue that only faithfulness constraints should be indexed, others argue that markedness constraints should be eligible for indexation as well. This article presents data from Japanese for which a complete synchronic analysis requires indexed markedness constraints but argues that such constraints are only necessary in cases where a phonological repair applies across a morpheme boundary. We then demonstrate that algorithms for learning grammars with indexed constraints can be augmented with a bias towards faithfulness indexation and discuss the advantages of incorporating such a bias, as well as its implications for the debate over the permissibility of indexed markedness constraints.

Key concepts: Markedness, Constraint (computer-aided design), Optimality theory, Linguistics, Indexation, Diction, Morpheme, Computer science

Related papers

Back to paper searchBrowse research topicsOriginal source
Post-nasal voicing in Japanese classifiers as exceptional triggering: implications for Indexed Constraint Theory — Research Paper | ScholarLens