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From feature to paradigm: Deep learning in machine translation (Extended Abstract)

Autor
Ruiz, M.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
27th International Joint Conference on Artificial Intelligence, IJCAI 2018
Any de l'edició
2018
Data de presentació
2018-07-13
Llibre d'actes
IJCAI International Joint Conference on Artificial Intelligence
Repositori
http://hdl.handle.net/2117/125670 Obrir en finestra nova
Resum
n the last years, deep learning algorithms have highly revolutionized several areas including speech, image and natural language processing. The specific field of Machine Translation (MT) has not remained invariant. Integration of deep learning in MT varies from re-modeling existing features into standard statistical systems to the development of a new architecture. Among the different neural networks, research works use feed- forward neural networks, recurrent neural networks and the encoder-de...
Grup de recerca
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
TALP - Centre de Tecnologies i Aplicacions del Llenguatge i la Parla
VEU - Grup de Tractament de la Parla

Participants