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Query Translation for Cross-Lingual Search in the Academic Search Engine PubPsych

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Metadata and Semantic Research (MTSR 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 846))

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Abstract

We describe a lexical resource-based process for query translation of a domain-specific and multilingual academic search engine in psychology, PubPsych. PubPsych queries are diverse in language with a high amount of informational queries and technical terminology. We present an approach for translating queries into English, German, French, and Spanish. We build a quadrilingual lexicon with aligned terms in the four languages using MeSH, Wikipedia and Apertium as our main resources. Our results show that using the quadlexicon together with some simple translation rules, we can automatically translate 85% of translatable tokens in PubPsych queries with mean adequacy over all the translatable text of 1.4 when measured on a 3-point scale [0, 1, 2].

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Notes

  1. 1.

    http://www.clubs-project.eu.

  2. 2.

    https://www.pubpsych.eu.

  3. 3.

    https://www.nlm.nih.gov/bsd/medline.html.

  4. 4.

    A median of 2 queries was issued over all sessions. PubPsych’s mean query length (3.6 tokens for simple, 4.9 for advanced search) was comparable to other reported numbers (e.g. PubMed 3.5 [15], Citeseer 4.8 [17], ScienceDirect 3.8 [18]).

  5. 5.

    German-speaking countries’ database for psychology: https://www.psyndex.de.

  6. 6.

    We also calculated Krippendorff’s alpha and Cohen’s Kappa with the same results.

  7. 7.

    This method additionally solves the problem of intra-query language shifts, since different tokens in the same query can be matched to different languages.

  8. 8.

    CM, IT, SH, CT, SW, TI and AB fields in PubPsych.

  9. 9.

    AGE, EV, PLOC, AU, ISBN, ISSN, PU, SEG, CS, JT, DB, PY, LA, DT and ID.

  10. 10.

    https://www.nlm.nih.gov/mesh.

  11. 11.

    https://github.com/clubs-project/MeSHMerger.

  12. 12.

    https://github.com/cristinae/WikiTailor.

  13. 13.

    We used models WT0.5-100 or WT0.5-500 depending on the language. Refer to WikiTailor manual for more details http://cristinae.github.io/WikiTailor.

  14. 14.

    http://wiki.apertium.org/wiki/List_of_dictionaries.

  15. 15.

    https://www.deepl.com, work took place as of 25th Jan. and 1st-2nd Feb. 2018.

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Acknowledgments

This research was supported by the Leibniz-Gemeinschaft under grant SAW-2016-ZPID-2.

Author information

Authors and Affiliations

  1. DFKI, Universität des Saarlandes, Saarbrücken, Germany

    Cristina España-Bonet & Josef van Genabith

  2. Berlin School of Library and Information Science, Humboldt-Universität zu Berlin, Berlin, Germany

    Juliane Stiller & Vivien Petras

  3. Leibniz-Zentrum für Psychologische Information und Dokumentation (ZPID), Trier, Germany

    Roland Ramthun

Authors
  1. Cristina España-Bonet
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  4. Josef van Genabith
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Corresponding author

Correspondence to Cristina España-Bonet .

Editor information

Editors and Affiliations

  1. Alexander Technological Educational Institute (ATEI) of Thessaloniki, Thessaloniki, Greece

    Emmanouel Garoufallou

  2. Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milan, Italy

    Fabio Sartori

  3. Alexander Technological Educational Institute (ATEI) of Thessaloniki, Thessaloniki, Greece

    Rania Siatri

  4. Library and Information Services, Cyprus University of Technology, Limassol, Cyprus

    Marios Zervas

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España-Bonet, C., Stiller, J., Ramthun, R., van Genabith, J., Petras, V. (2019). Query Translation for Cross-Lingual Search in the Academic Search Engine PubPsych. In: Garoufallou, E., Sartori, F., Siatri, R., Zervas, M. (eds) Metadata and Semantic Research. MTSR 2018. Communications in Computer and Information Science, vol 846. Springer, Cham. https://doi.org/10.1007/978-3-030-14401-2_4

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  • DOI: https://doi.org/10.1007/978-3-030-14401-2_4

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