Structural Biases for Improving Transformers on Translation into Morphologically Rich Languages

Proceedings of the 4th Workshop on Technologies for MT of Low Resource Languages (LoResMT2021) Machine translation has seen rapid progress with the advent of Transformer-based models. These models have no explicit linguistic structure built into them, yet they may still implicitly learn structured r...

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Hauptverfasser:	Soulos, Paul, Rao, Sudha, Smith, Caitlin, Rosen, Eric, Celikyilmaz, Asli, McCoy, R. Thomas, Jiang, Yichen, Haley, Coleman, Fernandez, Roland, Palangi, Hamid, Gao, Jianfeng, Smolensky, Paul
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computation and Language
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