Lancaster EPrints

Towards A Welsh Semantic Annotation System

Piao, Scott Songlin and Rayson, Paul Edward and Knight, Dawn and Watkins, Gareth (2018) Towards A Welsh Semantic Annotation System. In: LREC 2018, Eleventh International Conference on Language Resources and Evaluation :. European Language Resources Association (ELRA), pp. 980-985. ISBN 9791095546009

[img]
Preview
PDF (lrec2018-cysemtagger) - Submitted Version
Available under License Creative Commons Attribution-NonCommercial.

Download (126Kb) | Preview
    [img]
    Preview
    PDF (welsh-sem-tagger-lrec2018-proc) - Published Version
    Available under License Creative Commons Attribution-NonCommercial.

    Download (137Kb) | Preview

      Abstract

      Automatic semantic annotation of natural language data is an important task in Natural Language Processing, and a variety of semantic taggers have been developed for this task, particularly for English. However, for many languages, particularly for low-resource languages, such tools are yet to be developed. In this paper, we report on the development of an automatic Welsh semantic annotation tool (named CySemTagger) in the CorCenCC Project, which will facilitate semantic-level analysis of Welsh language data on a large scale. Based on Lancaster’s USAS semantic tagger framework, this tool tags words in Welsh texts with semantic tags from a semantic classification scheme, and is designed to be compatible with multiple Welsh POS taggers and POS tagsets by mapping different tagsets into a core shared POS tagset that is used internally by CySemTagger. Our initial evaluation shows that the tagger can cover up to 91.78% of words in Welsh text. This tagger is under continuous development, and will provide a critical tool for Welsh language corpus and information processing at semantic level.

      Item Type: Contribution in Book/Report/Proceedings
      Uncontrolled Keywords: Welsh semantic tagger ; corpus annotation tool ; Welsh language ; CorCenCC
      Subjects:
      Departments: Faculty of Science and Technology > School of Computing & Communications
      ID Code: 123588
      Deposited By: ep_importer_pure
      Deposited On: 22 Feb 2018 08:58
      Refereed?: No
      Published?: Published
      Last Modified: 13 Nov 2018 00:59
      Identification Number:
      URI: http://eprints.lancs.ac.uk/id/eprint/123588

      Actions (login required)

      View Item