Towards Lithuanian Grammatical Error Correction

被引：1

作者：

Stankevicius, Lukas ^{[1
]}

Lukosevicius, Mantas ^{[1
]}

机构：

[1] Kaunas Univ Technol, Fac Informat, Kaunas, Lithuania

来源：

ARTIFICIAL INTELLIGENCE TRENDS IN SYSTEMS, VOL 2 | 2022年 / 502卷

关键词：

Natural Language Processing; Grammatical error correction; Transformer models; ByT5; Lithuanian;

D O I：

10.1007/978-3-031-09076-9_44

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Everyone wants to write beautiful and correct text, yet the lack of language skills, experience, or hasty typing can result in errors. By employing the recent advances in transformer architectures, we construct a grammatical error correction model for Lithuanian, the language rich in archaic features. We compare subword and byte-level approaches and share our best trained model, achieving F-0.5 = 0.92, and accompanying code, in an online open-source repository.

引用

页码：490 / 503

页数：14

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