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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 501–525 of 1773 papers

TitleStatusHype
Sometimes We Want Ungrammatical TranslationsCode0
How should human translation coexist with NMT? Efficient tool for building high quality parallel corpus—0
Empirical Analysis of Korean Public AI Hub Parallel Corpora and in-depth Analysis using LIWC—0
Adaptive Bridge between Training and Inference for Dialogue—0
Continual Learning in Multilingual NMT via Language-Specific Embeddings—0
Multilingual Domain Adaptation for NMT: Decoupling Language and Domain Information with Adapters—0
Can Synthetic Translations Improve Bitext Quality?—0
A Two-Stage Curriculum Training Framework for NMT—0
Towards Making the Most of Multilingual Pretraining for Zero-Shot Neural Machine TranslationCode1
Multilingual Neural Machine Translation:Can Linguistic Hierarchies Help?—0
An Empirical Investigation of Multi-bridge Multilingual NMT models—0
Doubly-Trained Adversarial Data Augmentation for Neural Machine TranslationCode0
On the Complementarity between Pre-Training and Back-Translation for Neural Machine TranslationCode1
Sicilian Translator: A Recipe for Low-Resource NMTCode0
Improving Zero-shot Multilingual Neural Machine Translation for Low-Resource Languages—0
Prose2Poem: The Blessing of Transformers in Translating Prose to Persian PoetryCode0
On the Effectiveness of Quasi Character-Level Models for Machine Translation—0
TransSlowDown: Efficiency Attacks on Neural Machine Translation Systems—0
EdinSaar@WMT21: North-Germanic Low-Resource Multilingual NMT—0
Towards Reinforcement Learning for Pivot-based Neural Machine Translation with Non-autoregressive Transformer—0
Faithful Target Attribute Prediction in Neural Machine TranslationCode0
Non-Parametric Online Learning from Human Feedback for Neural Machine TranslationCode0
Learning Domain Specific Language Models for Automatic Speech Recognition through Machine Translation—0
Learning Kernel-Smoothed Machine Translation with Retrieved ExamplesCode1
Modeling Future for Neural Machine Translation by Fusing Target Information—0
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