Skip to main navigation Skip to search Skip to main content

Report of NEWS 2018 Named Entity Transliteration Shared Task

  • Nancy Chen
  • , Rafael E. Banchs
  • , Min Zhang
  • , Xiangyu Duan
  • , Haizhou Li
  • Singapore University of Technology and Design
  • Nanyang Technological University
  • Soochow University
  • National University of Singapore

Research output: Contribution to journalConference articlepeer-review

Abstract

This report presents the results from the Named Entity Transliteration Shared Task conducted as part of The Seventh Named Entities Workshop (NEWS 2018) held at ACL 2018 in Melbourne, Australia. Similar to previous editions of NEWS, the Shared Task featured 19 tasks on proper name transliteration, including 13 different languages and two different Japanese scripts. A total of 6 teams from 8 different institutions participated in the evaluation, submitting 424 runs, involving different transliteration methodologies. Four performance metrics were used to report the evaluation results. The NEWS shared task on machine transliteration has successfully achieved its objectives by providing a common ground for the research community to conduct comparative evaluations of state-of-the-art technologies that will benefit the future research and development in this area.

Original languageEnglish
Pages (from-to)55-73
Number of pages19
JournalProceedings of the Annual Meeting of the Association for Computational Linguistics
StatePublished - 2018
Externally publishedYes
Event7th Workshop on Named Entities WorkShop, NEWS 2018, held at the ACL 2018 - Melbourne, Australia
Duration: 20 Jul 2018 → …

Fingerprint

Dive into the research topics of 'Report of NEWS 2018 Named Entity Transliteration Shared Task'. Together they form a unique fingerprint.

Cite this