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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 326–350 of 1773 papers

TitleStatusHype
Attention based Sequence to Sequence Learning for Machine Translation of Low Resourced Indic Languages -- A case of Sanskrit to Hindi—0
CUNI Systems in WMT21: Revisiting Backtranslation Techniques for English-Czech NMT—0
CUNI Transformer Neural MT System for WMT18—0
Curriculum Learning and Minibatch Bucketing in Neural Machine Translation—0
Context Based Machine Translation With Recurrent Neural Network For English-Amharic Translation—0
Analysing concatenation approaches to document-level NMT in two different domains—0
Context in Neural Machine Translation: A Review of Models and Evaluations—0
Context-Adaptive Document-Level Neural Machine Translation—0
Attention Link: An Efficient Attention-Based Low Resource Machine Translation Architecture—0
A Multi-task Multi-stage Transitional Training Framework for Neural Chat Translation—0
Contextual Refinement of Translations: Large Language Models for Sentence and Document-Level Post-Editing—0
Contextual Text Embeddings for Twi—0
Continual Learning for Neural Machine Translation—0
Content Word Aware Neural Machine Translation—0
Continual Learning in Multilingual NMT via Language-Specific Embeddings—0
A Two-Stage Curriculum Training Framework for NMT—0
Content-Equivalent Translated Parallel News Corpus and Extension of Domain Adaptation for NMT—0
ContraCAT: Contrastive Coreference Analytical Templates for Machine Translation—0
Contrastive Learning for Context-aware Neural Machine TranslationUsing Coreference Information—0
Contrastive Learning for Context-aware Neural Machine Translation Using Coreference Information—0
Contrastive Token Learning with Similarity Decay for Repetition Suppression in Machine Translation—0
Contrastive Word Embedding Learning for Neural Machine Translation—0
Controlling Formality in Low-Resource NMT with Domain Adaptation and Re-Ranking: SLT-CDT-UoS at IWSLT2022—0
Controlling Japanese Honorifics in English-to-Japanese Neural Machine Translation—0
A Transformer-Based Multi-Source Automatic Post-Editing System—0
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