Article
Version 1
Preserved in Portico This version is not peer-reviewed
Guidance to Pre-tokeniztion for SacreBLEU: Meta-Evaluation in Korean
Version 1
: Received: 2 January 2022 / Approved: 4 January 2022 / Online: 4 January 2022 (20:24:43 CET)
How to cite: Kim, A.; Kim, J. Guidance to Pre-tokeniztion for SacreBLEU: Meta-Evaluation in Korean. Preprints 2022, 2022010018. https://doi.org/10.20944/preprints202201.0018.v1 Kim, A.; Kim, J. Guidance to Pre-tokeniztion for SacreBLEU: Meta-Evaluation in Korean. Preprints 2022, 2022010018. https://doi.org/10.20944/preprints202201.0018.v1
Abstract
SacreBLEU, by incorporating a text normalizing step in the pipeline, has been well-received as an automatic evaluation metric in recent years. With agglutinative languages such as Korean, however, the metric cannot provide a conceivable result without the help of customized pre-tokenization. In this regard, this paper endeavors to examine the influence of diversified pre-tokenization schemes –word, morpheme, character, and subword– on the aforementioned metric by performing a meta-evaluation with manually-constructed into-Korean human evaluation data. Our empirical study demonstrates that the correlation of SacreBLEU (to human judgment) fluctuates consistently by the token type. The reliability of the metric even deteriorates due to some tokenization, and MeCab is not an exception. Guiding through the proper usage of tokenizer for each metric, we stress the significance of a character level and the insignificance of a Jamo level in MT evaluation.
Supplementary and Associated Material
http:// github.com/ko_sacrebleu: GitHub for the codes
Keywords
NMT Evaluation, Meta-Evaluation, SacreBLEU, Korean
Subject
Computer Science and Mathematics, Computer Science
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Comments (0)
We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.
Leave a public commentSend a private comment to the author(s)
* All users must log in before leaving a comment