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NMT

Neural machine translation is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.

Papers

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Showing 1641–1650 of 1773 papers

TitleStatusHype
Regularization techniques for fine-tuning in neural machine translation—0
Linguistically Motivated Vocabulary Reduction for Neural Machine Translation from Turkish to English—0
Curriculum Learning and Minibatch Bucketing in Neural Machine Translation—0
Learning Language Representations for Typology PredictionCode0
Machine Translation at Booking.com: Journey and Lessons Learned—0
SGNMT -- A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search StrategiesCode0
Modeling Target-Side Inflection in Neural Machine Translation—0
Improved Neural Machine Translation with a Syntax-Aware Encoder and DecoderCode0
An empirical study on the effectiveness of images in Multimodal Neural Machine Translation—0
Sentence Embedding for Neural Machine Translation Domain Adaptation—0
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