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LLODifying Linguistic Glosses

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Language, Data, and Knowledge (LDK 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10318))

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Abstract

Interlinear glossed text (IGT) is a notation used in various fields of linguistics to provide readers with a way to understand the linguistic phenomena. We describe the representation of IGT data in RDF, the conversion from two popular tools, and their automated linking with resources from the Linguistic Linked Open Data (LLOD) cloud. We argue that such an LLOD edition of IGT data facilitates their reusability, their infrastructural support and their integration with external data sources.

Our converters are available under an open source license, two data sets will be published along with the final version of this paper. To our best knowledge, this is the first attempt to publish IGT data sets as Linguistic Linked Open Data we are aware of.

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Notes

  1. 1.

    http://fieldworks.sil.org/flex.

  2. 2.

    http://www-01.sil.org/computing/toolbox.

  3. 3.

    http://annotation.exmaralda.org/index.php?title=Advanced_Glossing.

  4. 4.

    http://www-01.sil.org/computing/catalog/show_software.asp?id=79.

  5. 5.

    http://fieldworks.sil.org/flex.

  6. 6.

    In fact, the FLEx importer also omits such data.

  7. 7.

    The dotted lines are yet to be inferred from toolbox:has_morph.

  8. 8.

    As defined in the lemon/ontolex vocabulary, this implicitly casts flex:morphs as ontolex:Form (expected object of ontolex:lexicalForm). To satisfy the ontolex:Form definition, we may add flex:gls rdfs:subPropertyOf ontolex:representation. Note that the rendering of a gloss as a lexical entry mirrors the way glosses are treated in FLEx and Toolbox: During annotation, a dictionary comprising all glossed forms is created. In many cases, this dictionary (and the accompanying grammar) represents the main outcome of IGT annotation.

  9. 9.

    http://dbserver.acoli.cs.uni-frankfurt.de:5000/search/?query=&originLang= &targetLang=trk.

  10. 10.

    https://github.com/xigt/xigt/wiki.

  11. 11.

    https://github.com/glottobank/cldf/issues/10.

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Author information

Authors and Affiliations

  1. Goethe-Universität Frankfurt am Main, Frankfurt, Germany

    Christian Chiarcos, Maxim Ionov, Monika Rind-Pawlowski, Christian Fäth, Jesse Wichers Schreur & Irina Nevskaya

Authors
  1. Christian Chiarcos
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  2. Maxim Ionov
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  3. Monika Rind-Pawlowski
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  4. Christian Fäth
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  5. Jesse Wichers Schreur
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  6. Irina Nevskaya
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Corresponding author

Correspondence to Christian Chiarcos .

Editor information

Editors and Affiliations

  1. Universidad Politécnica de Madrid, Madrid, Spain

    Jorge Gracia

  2. Nanyang Technological University, Singapore, Singapore

    Francis Bond

  3. Insight Centre for Data Analytics, National University of Ireland, Galway, Galway, Ireland

    John P. McCrae

  4. Insight Centre for Data Analytics, National University of Ireland, Galway, Ireland

    Paul Buitelaar

  5. Goethe-University Frankfurt, Frankfurt, Germany

    Christian Chiarcos

  6. University of Leipzig, Leipzig, Germany

    Sebastian Hellmann

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Chiarcos, C., Ionov, M., Rind-Pawlowski, M., Fäth, C., Schreur, J.W., Nevskaya, I. (2017). LLODifying Linguistic Glosses. In: Gracia, J., Bond, F., McCrae, J., Buitelaar, P., Chiarcos, C., Hellmann, S. (eds) Language, Data, and Knowledge. LDK 2017. Lecture Notes in Computer Science(), vol 10318. Springer, Cham. https://doi.org/10.1007/978-3-319-59888-8_7

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  • DOI: https://doi.org/10.1007/978-3-319-59888-8_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59887-1

  • Online ISBN: 978-3-319-59888-8

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