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    <titleInfo>
        <title>Vowel and Consonant Classification through Spectral Decomposition</title>
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    <name type="personal">
        <namePart type="given">Patricia</namePart>
        <namePart type="family">Thaine</namePart>
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            <title>Proceedings of the First Workshop on Subword and Character Level Models in NLP</title>
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        <name type="personal">
            <namePart type="given">Manaal</namePart>
            <namePart type="family">Faruqui</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Hinrich</namePart>
            <namePart type="family">Schuetze</namePart>
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        <name type="personal">
            <namePart type="given">Isabel</namePart>
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            <namePart type="given">Yadollah</namePart>
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    <abstract>We consider two related problems in this paper. Given an undeciphered alphabetic writing system or mono-alphabetic cipher, determine: (1) which of its letters are vowels and which are consonants; and (2) whether the writing system is a vocalic alphabet or an abjad. We are able to show that a very simple spectral decomposition based on character co-occurrences provides nearly perfect performance with respect to answering both question types.</abstract>
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    <identifier type="doi">10.18653/v1/W17-4112</identifier>
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%0 Conference Proceedings
%T Vowel and Consonant Classification through Spectral Decomposition
%A Thaine, Patricia
%A Penn, Gerald
%Y Faruqui, Manaal
%Y Schuetze, Hinrich
%Y Trancoso, Isabel
%Y Yaghoobzadeh, Yadollah
%S Proceedings of the First Workshop on Subword and Character Level Models in NLP
%D 2017
%8 September
%I Association for Computational Linguistics
%C Copenhagen, Denmark
%F thaine-penn-2017-vowel
%X We consider two related problems in this paper. Given an undeciphered alphabetic writing system or mono-alphabetic cipher, determine: (1) which of its letters are vowels and which are consonants; and (2) whether the writing system is a vocalic alphabet or an abjad. We are able to show that a very simple spectral decomposition based on character co-occurrences provides nearly perfect performance with respect to answering both question types.
%R 10.18653/v1/W17-4112
%U https://aclanthology.org/W17-4112
%U https://doi.org/10.18653/v1/W17-4112
%P 82-91

Markdown (Informal)

[Vowel and Consonant Classification through Spectral Decomposition](https://aclanthology.org/W17-4112) (Thaine & Penn, SCLeM 2017)

• Vowel and Consonant Classification through Spectral Decomposition (Thaine & Penn, SCLeM 2017)

ACL

• Patricia Thaine and Gerald Penn. 2017. Vowel and Consonant Classification through Spectral Decomposition. In Proceedings of the First Workshop on Subword and Character Level Models in NLP, pages 82–91, Copenhagen, Denmark. Association for Computational Linguistics.