Automatic reference-based evaluation of pronoun translation misses the point
- Liane Guillou,
- University of Edinburgh,
- Uppsala University
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Research
Peer-reviewOpen access
Abstract
We compare the performance of the APT and AutoPRF metrics for pronoun translation against a manually annotated dataset comprising human judgements as to the correctness of translations of the PROTEST test suite. Although there is some correlation with the human judgements, a range of issues limit the performance of the automated metrics. Instead, we recommend the use of semiautomatic metrics and test suites in place of fully automatic metrics.
Publication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Research
Peer-reviewOriginal language
EnglishPublication milestones
- Published - 2018
Publication status
Published - 2018
ISBN (Print)
9781948087841Publication IDs
- ORCID: /0000-0002-6103-7275/work/156308172
- Scopus: 85081746897
Host publication title
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018Publication metrics
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Citation count
10
