Multi-Source Neural Machine Translation With Missing Data

IEEE/ACM Transactions on Audio, Speech, and Language Processing, pp. 569-580, 2020.

Cited by: 0|Bibtex|Views13|Links
EI WOS
Keywords:
TrainingDecodingStandardsSpeech processingEuropeMore(2+)

Abstract:

Machine translation is rife with ambiguities in word ordering and word choice, and even with the advent of machine-learning methods that learn to resolve this ambiguity based on statistics from large corpora, mistakes are frequent. Multi-source translation is an approach that attempts to resolve these ambiguities by exploiting multiple in...More

Code:

Data:

Your rating :
0

 

Tags
Comments