Phenomenon-wise Evaluation Dataset Towards Analyzing Robustness of Machine Translation Models

Autor:	Kaori Abe, Kazuaki Hanawa, Masato Mita, Ryo Fujii, Makoto Morishita, Kentaro Inui, Jun Suzuki
Rok vydání:	2021
Předmět:	Machine translation Robustness (computer science) Computer science Phenomenon Data mining computer.software_genre computer
Zdroj:	Journal of Natural Language Processing. 28:450-478
ISSN:	2185-8314 1340-7619
DOI:	10.5715/jnlp.28.450
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::3a8211a21b95fdecdfacfba5030816d7 https://doi.org/10.5715/jnlp.28.450 Zobrazit plný text záznamu