<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="ermolaeva-2018-extracting">
    <titleInfo>
        <title>Extracting Morphophonology from Small Corpora</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Marina</namePart>
        <namePart type="family">Ermolaeva</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2018-10</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the Fifteenth Workshop on Computational Research in Phonetics, Phonology, and Morphology</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Sandra</namePart>
            <namePart type="family">Kuebler</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Garrett</namePart>
            <namePart type="family">Nicolai</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Brussels, Belgium</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>Probabilistic approaches have proven themselves well in learning phonological structure. In contrast, theoretical linguistics usually works with deterministic generalizations. The goal of this paper is to explore possible interactions between information-theoretic methods and deterministic linguistic knowledge and to examine some ways in which both can be used in tandem to extract phonological and morphophonological patterns from a small annotated dataset. Local and nonlocal processes in Mishar Tatar (Turkic/Kipchak) are examined as a case study.</abstract>
    <identifier type="citekey">ermolaeva-2018-extracting</identifier>
    <identifier type="doi">10.18653/v1/W18-5819</identifier>
    <location>
        <url>https://aclanthology.org/W18-5819</url>
    </location>
    <part>
        <date>2018-10</date>
        <extent unit="page">
            <start>167</start>
            <end>175</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Extracting Morphophonology from Small Corpora
%A Ermolaeva, Marina
%Y Kuebler, Sandra
%Y Nicolai, Garrett
%S Proceedings of the Fifteenth Workshop on Computational Research in Phonetics, Phonology, and Morphology
%D 2018
%8 October
%I Association for Computational Linguistics
%C Brussels, Belgium
%F ermolaeva-2018-extracting
%X Probabilistic approaches have proven themselves well in learning phonological structure. In contrast, theoretical linguistics usually works with deterministic generalizations. The goal of this paper is to explore possible interactions between information-theoretic methods and deterministic linguistic knowledge and to examine some ways in which both can be used in tandem to extract phonological and morphophonological patterns from a small annotated dataset. Local and nonlocal processes in Mishar Tatar (Turkic/Kipchak) are examined as a case study.
%R 10.18653/v1/W18-5819
%U https://aclanthology.org/W18-5819
%U https://doi.org/10.18653/v1/W18-5819
%P 167-175

Markdown (Informal)

[Extracting Morphophonology from Small Corpora](https://aclanthology.org/W18-5819) (Ermolaeva, EMNLP 2018)

• Extracting Morphophonology from Small Corpora (Ermolaeva, EMNLP 2018)

ACL

• Marina Ermolaeva. 2018. Extracting Morphophonology from Small Corpora. In Proceedings of the Fifteenth Workshop on Computational Research in Phonetics, Phonology, and Morphology, pages 167–175, Brussels, Belgium. Association for Computational Linguistics.