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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Veröffentlicht in:	Electronics (Basel) Jg. 12; H. 20; S. 4194
Hauptverfasser:	Fan, Daoerji, Sun, Yuxin, Wang, Zhixin, Peng, Yanjun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.10.2023
Schlagworte:	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
Online-Zugang:	Volltext
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