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pro vyhledávání: '"Gaetan, Lopez"'
Real world deployments of word alignment are almost certain to cover both high and low resource languages. However, the state-of-the-art for this task recommends a different model class depending on the availability of gold alignment training data fo
Externí odkaz:
http://arxiv.org/abs/2407.12881
Grammatical Error Detection (GED) methods rely heavily on human annotated error corpora. However, these annotations are unavailable in many low-resource languages. In this paper, we investigate GED in this context. Leveraging the zero-shot cross-ling
Externí odkaz:
http://arxiv.org/abs/2407.11854
Publikováno v:
IEEE Computer Graphics and Applications. 42:8-19
While text clustering methods have been available for decades, there is a paucity of material that would help practitioners with the choice and configuration of suitable algorithms and visualizations. In this article, we present a case study analyzin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c564ac53ad4a14baef4a0c6e84e289e
https://doi.org/10.1109/mcg.2022.3179914
https://doi.org/10.1109/mcg.2022.3179914
