<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="sorokin-2017-spelling">
    <titleInfo>
        <title>Spelling Correction for Morphologically Rich Language: a Case Study of Russian</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Alexey</namePart>
        <namePart type="family">Sorokin</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2017-04</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 6th Workshop on Balto-Slavic Natural Language Processing</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Tomaž</namePart>
            <namePart type="family">Erjavec</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Jakub</namePart>
            <namePart type="family">Piskorski</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Lidia</namePart>
            <namePart type="family">Pivovarova</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Jan</namePart>
            <namePart type="family">Šnajder</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Josef</namePart>
            <namePart type="family">Steinberger</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Roman</namePart>
            <namePart type="family">Yangarber</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Valencia, Spain</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>We present an algorithm for automatic correction of spelling errors on the sentence level, which uses noisy channel model and feature-based reranking of hypotheses. Our system is designed for Russian and clearly outperforms the winner of SpellRuEval-2016 competition. We show that language model size has the greatest influence on spelling correction quality. We also experiment with different types of features and show that morphological and semantic information also improves the accuracy of spellchecking.</abstract>
    <identifier type="citekey">sorokin-2017-spelling</identifier>
    <identifier type="doi">10.18653/v1/W17-1408</identifier>
    <location>
        <url>https://aclanthology.org/W17-1408</url>
    </location>
    <part>
        <date>2017-04</date>
        <extent unit="page">
            <start>45</start>
            <end>53</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Spelling Correction for Morphologically Rich Language: a Case Study of Russian
%A Sorokin, Alexey
%Y Erjavec, Tomaž
%Y Piskorski, Jakub
%Y Pivovarova, Lidia
%Y Šnajder, Jan
%Y Steinberger, Josef
%Y Yangarber, Roman
%S Proceedings of the 6th Workshop on Balto-Slavic Natural Language Processing
%D 2017
%8 April
%I Association for Computational Linguistics
%C Valencia, Spain
%F sorokin-2017-spelling
%X We present an algorithm for automatic correction of spelling errors on the sentence level, which uses noisy channel model and feature-based reranking of hypotheses. Our system is designed for Russian and clearly outperforms the winner of SpellRuEval-2016 competition. We show that language model size has the greatest influence on spelling correction quality. We also experiment with different types of features and show that morphological and semantic information also improves the accuracy of spellchecking.
%R 10.18653/v1/W17-1408
%U https://aclanthology.org/W17-1408
%U https://doi.org/10.18653/v1/W17-1408
%P 45-53

Markdown (Informal)

[Spelling Correction for Morphologically Rich Language: a Case Study of Russian](https://aclanthology.org/W17-1408) (Sorokin, BSNLP 2017)

• Spelling Correction for Morphologically Rich Language: a Case Study of Russian (Sorokin, BSNLP 2017)

ACL

• Alexey Sorokin. 2017. Spelling Correction for Morphologically Rich Language: a Case Study of Russian. In Proceedings of the 6th Workshop on Balto-Slavic Natural Language Processing, pages 45–53, Valencia, Spain. Association for Computational Linguistics.