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Found 12 papers, 0 papers with code
Attention-based Vocabulary Selection for NMT Decoding
Usually, the candidate lists are a combination of external word-to-word aligner, phrase table entries or most frequent words.
Ensemble Distillation for Neural Machine Translation
Knowledge distillation describes a method for training a student network to perform better by learning from a stronger teacher network.
Temporal Attention Model for Neural Machine Translation
Attention-based Neural Machine Translation (NMT) models suffer from attention deficiency issues as has been observed in recent research.
Zero-Resource Translation with Multi-Lingual Neural Machine Translation
In this paper, we propose a novel finetuning algorithm for the recently introduced multi-way, mulitlingual neural machine translate that enables zero-resource machine translation.
Coverage Embedding Models for Neural Machine Translation
In this paper, we enhance the attention-based neural machine translation (NMT) by adding explicit coverage embedding models to alleviate issues of repeating and dropping translations in NMT.
