Linguistic Knowledge-Aware Neural Machine Translation

Recently, researchers have shown an increasing interest in incorporating linguistic knowledge into neural machine translation (NMT). To this end, previous works choose either to alter the architecture of NMT encoder to incorporate syntactic information into the translation model, or to generalize th...

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Veröffentlicht in:	IEEE/ACM transactions on audio, speech, and language processing speech, and language processing, 2018-12, Vol.26 (12), p.2341-2354
Hauptverfasser:	Li, Qiang, Wong, Derek F., Chao, Lidia S., Zhu, Muhua, Xiao, Tong, Zhu, Jingbo, Zhang, Min
Format:	Artikel
Sprache:	eng
Schlagworte:	Attention gate Coding Decoding Encoding Knowledge knowledge block knowledge gate Linguistics Machine translation neural machine translation (NMT) Recurrent neural networks Speech processing Syntactics
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