@inproceedings{ilie-etal-2026-learning,
title = "Learning tone sandhis in Structural Optimality",
author = "Ilie, Izabel and
Lamont, Andrew and
Prickett, Brandon",
editor = "Voigt, Rob and
Warstadt, Alex and
Feldman, Naomi and
Linzen, Tal",
booktitle = "Proceedings of the Society for Computation in Linguistics 2026",
month = jul,
year = "2026",
address = "San Diego, CA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.scil-main.30/",
pages = "329--337",
ISBN = "979-8-89176-412-5",
abstract = "This paper examines the learnability of different types of tone sandhi in Structural Optimality, a constraint-based framework that posits hierarchical scales and defines constraints over the scales. Approached as a hidden structure problem, we show that Expectation Driven Parameter Learning can acquire these grammars, but that their properties can make learning difficult."
}<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="ilie-etal-2026-learning">
<titleInfo>
<title>Learning tone sandhis in Structural Optimality</title>
</titleInfo>
<name type="personal">
<namePart type="given">Izabel</namePart>
<namePart type="family">Ilie</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Andrew</namePart>
<namePart type="family">Lamont</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Brandon</namePart>
<namePart type="family">Prickett</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2026-07</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the Society for Computation in Linguistics 2026</title>
</titleInfo>
<name type="personal">
<namePart type="given">Rob</namePart>
<namePart type="family">Voigt</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Alex</namePart>
<namePart type="family">Warstadt</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Naomi</namePart>
<namePart type="family">Feldman</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Tal</namePart>
<namePart type="family">Linzen</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>Association for Computational Linguistics</publisher>
<place>
<placeTerm type="text">San Diego, CA</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
<identifier type="isbn">979-8-89176-412-5</identifier>
</relatedItem>
<abstract>This paper examines the learnability of different types of tone sandhi in Structural Optimality, a constraint-based framework that posits hierarchical scales and defines constraints over the scales. Approached as a hidden structure problem, we show that Expectation Driven Parameter Learning can acquire these grammars, but that their properties can make learning difficult.</abstract>
<identifier type="citekey">ilie-etal-2026-learning</identifier>
<location>
<url>https://aclanthology.org/2026.scil-main.30/</url>
</location>
<part>
<date>2026-07</date>
<extent unit="page">
<start>329</start>
<end>337</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Learning tone sandhis in Structural Optimality
%A Ilie, Izabel
%A Lamont, Andrew
%A Prickett, Brandon
%Y Voigt, Rob
%Y Warstadt, Alex
%Y Feldman, Naomi
%Y Linzen, Tal
%S Proceedings of the Society for Computation in Linguistics 2026
%D 2026
%8 July
%I Association for Computational Linguistics
%C San Diego, CA
%@ 979-8-89176-412-5
%F ilie-etal-2026-learning
%X This paper examines the learnability of different types of tone sandhi in Structural Optimality, a constraint-based framework that posits hierarchical scales and defines constraints over the scales. Approached as a hidden structure problem, we show that Expectation Driven Parameter Learning can acquire these grammars, but that their properties can make learning difficult.
%U https://aclanthology.org/2026.scil-main.30/
%P 329-337
Markdown (Informal)
[Learning tone sandhis in Structural Optimality](https://aclanthology.org/2026.scil-main.30/) (Ilie et al., SCiL 2026)
ACL
- Izabel Ilie, Andrew Lamont, and Brandon Prickett. 2026. Learning tone sandhis in Structural Optimality. In Proceedings of the Society for Computation in Linguistics 2026, pages 329–337, San Diego, CA. Association for Computational Linguistics.