Error analysis of Uyghur name tagging: Language-specific techniques and remaining challenges

Abudukelimu Halidanmu, Abulizi Abudoukelimu, Boliang Zhang, Xiaoman Pan, Di Lu, Heng Ji, Yang Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Regardless of numerous efforts at name tagging for Uyghur, there is limited understanding on the performance ceiling. In this paper, we take a close look at the successful cases and perform careful analysis on the remaining errors of a state-of-the-art Uyghur name tagger, systematically categorize challenges, and propose possible solutions. We conclude that simply adopting a machine learning model which is proven successful for high-resource languages along with language-independent superficial features is unlikely to be effective for Uyghur, or low-resource languages in general. Further advancement requires exploiting rich language-specific knowledge and non-traditional linguistic resources, and novel methods to encode them into machine learning frameworks.

Original languageEnglish (US)
Title of host publicationLREC 2018 - 11th International Conference on Language Resources and Evaluation
EditorsHitoshi Isahara, Bente Maegaard, Stelios Piperidis, Christopher Cieri, Thierry Declerck, Koiti Hasida, Helene Mazo, Khalid Choukri, Sara Goggi, Joseph Mariani, Asuncion Moreno, Nicoletta Calzolari, Jan Odijk, Takenobu Tokunaga
PublisherEuropean Language Resources Association (ELRA)
Pages4421-4426
Number of pages6
ISBN (Electronic)9791095546009
StatePublished - Jan 1 2019
Externally publishedYes
Event11th International Conference on Language Resources and Evaluation, LREC 2018 - Miyazaki, Japan
Duration: May 7 2018May 12 2018

Publication series

NameLREC 2018 - 11th International Conference on Language Resources and Evaluation

Other

Other11th International Conference on Language Resources and Evaluation, LREC 2018
Country/TerritoryJapan
CityMiyazaki
Period5/7/185/12/18

Keywords

  • Error analysis
  • Low-resource languages
  • Name tagging

ASJC Scopus subject areas

  • Linguistics and Language
  • Education
  • Library and Information Sciences
  • Language and Linguistics

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