Dynamic Multi-Branch Layers for On-Device Neural Machine Translation

With the rapid development of artificial intelligence (AI), there is a trend in moving AI applications, such as neural machine translation (NMT), from cloud to mobile devices. Constrained by limited hardware resources and battery, the performance of on-device NMT systems is far from satisfactory. In...

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Veröffentlicht in:	IEEE/ACM transactions on audio, speech, and language processing speech, and language processing, 2022, Vol.30, p.958-967
Hauptverfasser:	Tan, Zhixing, Yang, Zeyuan, Zhang, Meng, Liu, Qun, Sun, Maosong, Liu, Yang
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Conditional computation decoding Electronic devices Hardware Machine translation Mobile handsets natural language processing Performance enhancement Performance evaluation Training Transformers Translations
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