A Transformer-Based Neural Machine Translation Model for Arabic Dialects That Utilizes Subword Units.

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作者： Laith H,Baniata ^[1] ; Isaac K E,Ampomah ^[2] ; Seyoung,Park ^[1]

作者单位： School of Computer Science and Engineering, Kyungpook National University, 80 Daehak-ro, Buk-gu, Daegu 41566, Korea. ^[1] Department of Computer Science, Durham University, Stockton Road, Durham DH1 3LE, UK. ^[2]

关键词 Arabic dialects modern standard Arabic multi-head attention neural machine translation (NMT)self-attention shared vocabulary subword units transformer

主题词语言(Language);词汇(Vocabulary)

DOI 10.3390/s21196509

PMID 34640835

发布时间 2021-10-16

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Sensors (Basel, Switzerland)

2021年21卷19期

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A Transformer-Based Neural Machine Translation Model for Arabic Dialects That Utilizes Subword Units.

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A Transformer-Based Neural Machine Translation Model for Arabic Dialects That Utilizes Subword Units.

Sensors (Basel, Switzerland)

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Sensors (Basel, Switzerland)

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