LeBLEU: N-gram-based Translation Evaluation Score for Morphologically Complex Languages

Article Status
Published
Authors/contributors
Title
LeBLEU: N-gram-based Translation Evaluation Score for Morphologically Complex Languages
Proceedings Title
Proceedings of the Tenth Workshop on Statistical Machine Translation
Conference Name
Proceedings of the Tenth Workshop on Statistical Machine Translation
Publisher
Association for Computational Linguistics
Place
Lisbon, Portugal
Date
2015
Pages
411-416
Citation Key
virpioja2015
Accessed
27/10/2023, 16:48
Short Title
LeBLEU
Language
en
Library Catalogue
DOI.org (Crossref)
Extra
<AI Smry>: The results on WMT data sets show that fuzzy n-gram matching improves correlations to human evaluation especially for highly compounding languages. <标题>: LeBLEU:用于形态复杂语言的基于N-gram的翻译评估分数 Read_Status: New Read_Status_Date: 2026-01-26T11:33:34.519Z
Citation
Virpioja, S., & Grönroos, S.-A. (2015). LeBLEU: N-gram-based Translation Evaluation Score for Morphologically Complex Languages. Proceedings of the Tenth Workshop on Statistical Machine Translation, 411–416. https://doi.org/10.18653/v1/W15-3052
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