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Effective Fine-tuning for Low-resource Languages: A Case Study of Cangjie

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Published in:Empirical Software Engineering (Open Access Articles)
Format: Online Article RSS Article
Published: 2026
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container_title Empirical Software Engineering (Open Access Articles)
description
discipline_display Computer Software-Systems
discipline_facet Computer Software-Systems
format Online Article
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genre Journal Article
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institution FRELIP
journal_source_facet Empirical Software Engineering (Open Access Articles)
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Effective Fine-tuning for Low-resource Languages: A Case Study of Cangjie
Computer Software-Systems
General
Computer Software-Systems
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Software-Systems
General
Computer Software-Systems
Computer Software-Systems
General
Computer Software-Systems
subject_facet Computer Software-Systems
General
Computer Software-Systems
title Effective Fine-tuning for Low-resource Languages: A Case Study of Cangjie
title_auth Effective Fine-tuning for Low-resource Languages: A Case Study of Cangjie
title_full Effective Fine-tuning for Low-resource Languages: A Case Study of Cangjie
title_fullStr Effective Fine-tuning for Low-resource Languages: A Case Study of Cangjie
title_full_unstemmed Effective Fine-tuning for Low-resource Languages: A Case Study of Cangjie
title_short Effective Fine-tuning for Low-resource Languages: A Case Study of Cangjie
title_sort effective fine-tuning for low-resource languages: a case study of cangjie
topic Computer Software-Systems
General
Computer Software-Systems
url https://link.springer.com/article/10.1007/s10664-026-10878-4