Zobrazeno 1 - 10
of 873
pro vyhledávání: '"Error Annotation"'
Large Language Models (LLMs) have shown significant potential as judges for Machine Translation (MT) quality assessment, providing both scores and fine-grained feedback. Although approaches such as GEMBA-MQM have shown state-of-the-art performance on
Externí odkaz:
http://arxiv.org/abs/2409.14335
Autor:
Sena EKİNCİ
Publikováno v:
transLogos: Translation Studies Journal, Vol 6, Iss 1, Pp 98-116 (2023)
This paper aims to investigate the effect of error annotation on post-editing effort and post-edited product. The study also attempts to highlight the significance of quality evaluation, particularly error annotation, which, I believe, is a useful me
Externí odkaz:
https://doaj.org/article/5394e81f5223448f8ba184ec1648635f
Autor:
Chahine, Irina Kor, Uetova, Ekaterina
Publikováno v:
Russian Language Journal / Русский язык, 2021 Jan 01. 71(3), 185-216.
Externí odkaz:
https://www.jstor.org/stable/27213103
Autor:
Tantos, Alexandros, Amvrazis, Nikolaos
Publikováno v:
In Applied Corpus Linguistics December 2022 2(3)
Conference
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Autor:
Wei. Wang, Jinsong Zhang
Publikováno v:
Speech Communication. 149:38-46
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab84ae0f9316bf6d91e3a346d5fcb858
https://doi.org/10.1016/j.specom.2023.03.001
https://doi.org/10.1016/j.specom.2023.03.001
Publikováno v:
Journal of Modern Research in English Language Studies, Vol 12, Iss 1, Pp 147-171 (2024)
Error-tagged learner corpora are helpful resources in language teaching, providing authentic samples of learners' errors. This longitudinal study aims to investigate accuracy development in three subsequent writing performances of Iranian EFL lear
Externí odkaz:
https://doaj.org/article/b11453c8b78c4aed82eabe3c25e4bb9c
Autor:
Huidrom, Rudali, Belz, Anya
While automatically computing numerical scores remains the dominant paradigm in NLP system evaluation, error analysis is receiving increasing attention, with numerous error annotation schemes being proposed for automatically generated text. However,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______119::1cf0968c1ffdff0e27345d834bc0610f
https://doras.dcu.ie/28660/1/2022.gem-1.33.pdf
https://doras.dcu.ie/28660/1/2022.gem-1.33.pdf
Autor:
Alexandros Tantos, Kosmas Kosmidis
This article investigates the potential of using error-annotated L2 utterances and their associated language profile to more accurately assess the language proficiency of an L2 learner. The main goal of this paper is to demonstrate the use of machine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8246f780c59903a8976d2da2146f403b
https://doi.org/10.21203/rs.3.rs-2478290/v1
https://doi.org/10.21203/rs.3.rs-2478290/v1