Bangla-BERT: Transformer-Based Efficient Model for Transfer Learning and Language Understanding

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Podrobná bibliografie
Vydáno v:	IEEE Access Ročník 10; s. 91855 - 91870
Hlavní autoři:	Md. Kowsher, Abdullah As Sami, Nusrat Jahan Prottasha, Mohammad Shamsul Arefin, Pranab Kumar Dhar, Takeshi Koshiba
Médium:	Journal Article
Jazyk:	japonština
Vydáno:	Institute of Electrical and Electronics Engineers (IEEE) 01.01.2022
Témata:	Artificial intelligence Bangla NLP Benchmark (surveying) Bengali BERT-base Computer science Computer Vision and Pattern Recognition Economics Electrical engineering. Electronics. Nuclear engineering Embedding Geodesy Geography Language model Language Modeling Language Understanding large corpus Management Multilingual Neural Machine Translation Named-entity recognition Natural Language Processing Neural Machine Translation Physical Sciences Physics Quantum mechanics Statistical Machine Translation and Natural Language Processing Syntax-based Translation Models Task (project management) TK1-9971 Transformer Visual Question Answering in Images and Videos Voltage Word2vec
ISSN:	2169-3536
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Popis
ISSN:	2169-3536
DOI:	10.1109/access.2022.3197662