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Adaptation of Cross-Lingual Transfer Methods for the Building of Medical Terminology in Ukrainian

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Computational Linguistics and Intelligent Text Processing (CICLing 2016)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9623))

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Abstract

An increasing availability of parallel bilingual corpora and of automatic methods and tools makes it possible to build linguistic and terminological resources for low-resourced languages. We propose to exploit corpora available in several languages for building bilingual and trilingual terminologies. Typically, terminology information extracted in better resourced languages is associated with the corresponding units in lower-resourced languages thanks to the multilingual transfer. The method is applied on corpora involving Ukrainian language. According to the experiments, precision of term extraction varies between 0.454 and 0.966, while the quality of the interlingual relations varies between 0.309 and 0.965. The resource built contains 4,588 medical terms in Ukrainian and their 34,267 relations with French and English terms.

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Notes

  1. 1.

    http://www.nlm.nih.gov/medlineplus/healthtopics.html.

  2. 2.

    https://github.com/fluxbb/langs/blob/master/Ukrainian/stopwords.txt.

  3. 3.

    http://search.cpan.org/~szabgab/Text-MediawikiFormat.

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Acknowledgments

This work is funded by the LIMSI-CNRS AI project Outiller l’Ukranien.

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Authors and Affiliations

  1. LIMSI, CNRS, Université Paris-Saclay, 91405, Orsay, France

    Thierry Hamon

  2. Université Paris 13, Sorbonne Paris Cité, 93430, Villetaneuse, France

    Thierry Hamon

  3. CNRS, UMR 8163, 59000, Lille, France

    Natalia Grabar

  4. Univ. Lille, UMR 8163 - STL - Savoirs Textes Langage, 59000, Lille, France

    Natalia Grabar

Authors
  1. Thierry Hamon
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  2. Natalia Grabar
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Correspondence to Thierry Hamon .

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Editors and Affiliations

  1. CIC, Instituto Politécnico Nacional, Mexico City, Mexico

    Alexander Gelbukh

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Hamon, T., Grabar, N. (2018). Adaptation of Cross-Lingual Transfer Methods for the Building of Medical Terminology in Ukrainian. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2016. Lecture Notes in Computer Science(), vol 9623. Springer, Cham. https://doi.org/10.1007/978-3-319-75477-2_15

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  • DOI: https://doi.org/10.1007/978-3-319-75477-2_15

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  • Online ISBN: 978-3-319-75477-2

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