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        <title>Corpus-Based Diacritic Restoration for South Slavic Languages</title>
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    <name type="personal">
        <namePart type="given">Nikola</namePart>
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        <namePart type="given">Tomaž</namePart>
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    <name type="personal">
        <namePart type="given">Darja</namePart>
        <namePart type="family">Fišer</namePart>
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            <title>Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16)</title>
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            <publisher>European Language Resources Association (ELRA)</publisher>
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    <abstract>In computer-mediated communication, Latin-based scripts users often omit diacritics when writing. Such text is typically easily understandable to humans but very difficult for computational processing because many words become ambiguous or unknown. Letter-level approaches to diacritic restoration generalise better and do not require a lot of training data but word-level approaches tend to yield better results. However, they typically rely on a lexicon which is an expensive resource, not covering non-standard forms, and often not available for less-resourced languages. In this paper we present diacritic restoration models that are trained on easy-to-acquire corpora. We test three different types of corpora (Wikipedia, general web, Twitter) for three South Slavic languages (Croatian, Serbian and Slovene) and evaluate them on two types of text: standard (Wikipedia) and non-standard (Twitter). The proposed approach considerably outperforms charlifter, so far the only open source tool available for this task. We make the best performing systems freely available.</abstract>
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        <url>https://aclanthology.org/L16-1573</url>
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%0 Conference Proceedings
%T Corpus-Based Diacritic Restoration for South Slavic Languages
%A Ljubešić, Nikola
%A Erjavec, Tomaž
%A Fišer, Darja
%S Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16)
%D 2016
%8 May
%I European Language Resources Association (ELRA)
%C Portorož, Slovenia
%F ljubesic-etal-2016-corpus
%X In computer-mediated communication, Latin-based scripts users often omit diacritics when writing. Such text is typically easily understandable to humans but very difficult for computational processing because many words become ambiguous or unknown. Letter-level approaches to diacritic restoration generalise better and do not require a lot of training data but word-level approaches tend to yield better results. However, they typically rely on a lexicon which is an expensive resource, not covering non-standard forms, and often not available for less-resourced languages. In this paper we present diacritic restoration models that are trained on easy-to-acquire corpora. We test three different types of corpora (Wikipedia, general web, Twitter) for three South Slavic languages (Croatian, Serbian and Slovene) and evaluate them on two types of text: standard (Wikipedia) and non-standard (Twitter). The proposed approach considerably outperforms charlifter, so far the only open source tool available for this task. We make the best performing systems freely available.
%U https://aclanthology.org/L16-1573
%P 3612-3616

Markdown (Informal)

[Corpus-Based Diacritic Restoration for South Slavic Languages](https://aclanthology.org/L16-1573) (Ljubešić et al., LREC 2016)

• Corpus-Based Diacritic Restoration for South Slavic Languages (Ljubešić et al., LREC 2016)

ACL

• Nikola Ljubešić, Tomaž Erjavec, and Darja Fišer. 2016. Corpus-Based Diacritic Restoration for South Slavic Languages. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 3612–3616, Portorož, Slovenia. European Language Resources Association (ELRA).