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Fluid Annotation: A Granularity-aware Annotation Tool for Chinese Word Fluidity

Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

DOI:10.63317/33ojin3zjnuh

Abstract

This paper presents a novel word granularity-aware annotation framework for Chinese. Anchored in current functionalist linguistics, this model rearranges the boundary of word segmentation and linguistic annotation, and gears toward a deeper understanding of lexical units and their behavior. The web-based annotation UI also supports flexible annotation tasks for various linguistic and affective phenomena.

Details

Paper ID
lrec2018-main-207
Pages
N/A
BibKey
hsieh-etal-2018-fluid
Editors
Nicoletta Calzolari, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Koiti Hasida, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis, Takenobu Tokunaga
Publisher
European Language Resources Association (ELRA)
ISSN
2522-2686
ISBN
79-10-95546-00-9
Conference
Eleventh International Conference on Language Resources and Evaluation
Location
Miyazaki, Japan
Date
7 - 12 May 2018

Authors

  • SH

    Shu-Kai Hsieh

  • YT

    Yu-Hsiang Tseng

  • CL

    Chih-Yao Lee

  • CC

    Chiung-Yu Chiang

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