Online Mongolian Handwriting Recognition Based on Encoder–Decoder Structure with Language Model

Mongolian online handwriting recognition is a complex task due to the script’s intricate characters and extensive vocabulary. This study proposes a novel approach by integrating a pre-trained language model into the sequence-to-sequence(Seq2Seq) + attention mechanisms(AM) model to enhance recognitio...

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Vydané v:	Electronics (Basel) Ročník 12; číslo 20; s. 4194
Hlavní autori:	Fan, Daoerji, Sun, Yuxin, Wang, Zhixin, Peng, Yanjun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.10.2023
Predmet:	Accuracy Algorithms Computational linguistics Cultural heritage Datasets Handwriting Handwriting recognition Language Language processing Model accuracy Mongolian language Natural language interfaces Neural networks Object recognition (Computers) Pattern recognition Penmanship Voice recognition Writing Mongolia
ISSN:	2079-9292, 2079-9292
On-line prístup:	Získať plný text
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