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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

Showing 776800 of 1773 papers

TitleStatusHype
Sentiment-based Candidate Selection for NMTCode0
Better Neural Machine Translation by Extracting Linguistic Information from BERTCode0
Attention Forcing for Machine TranslationCode0
Efficient Unsupervised NMT for Related Languages with Cross-Lingual Language Models and Fidelity Objectives0
Domain Adaptation for NMT via Filtered Iterative Back-Translation0
Measuring and Improving Faithfulness of Attention in Neural Machine Translation0
MUCS@ - Machine Translation for Dravidian Languages using Stacked Long Short Term Memory0
Towards Personalised and Document-level Machine Translation of Dialogue0
Context-aware Neural Machine Translation with Mini-batch EmbeddingCode0
Complex Question Answering on knowledge graphs using machine translation and multi-task learning0
Alignment verification to improve NMT translation towards highly inflectional languages with limited resources0
OPUS-CAT: Desktop NMT with CAT integration and local fine-tuning0
Why Find the Right One?0
An Exploration of Data Augmentation Techniques for Improving English to Tigrinya Translation0
Leveraging Neural Machine Translation for Word AlignmentCode0
Contextual Text Embeddings for Twi0
PENELOPIE: Enabling Open Information Extraction for the Greek Language through Machine TranslationCode0
Low-Resource Machine Translation Training Curriculum Fit for Low-Resource Languages0
Repairing Pronouns in Translation with BERT-Based Post-Editing0
Monolingual and Parallel Corpora for Kangri Low Resource LanguageCode0
Token-wise Curriculum Learning for Neural Machine Translation0
Crowdsourced Phrase-Based Tokenization for Low-Resourced Neural Machine Translation: The Case of Fon Language0
Unsupervised Transfer Learning in Multilingual Neural Machine Translation with Cross-Lingual Word Embeddings0
Learning Feature Weights using Reward Modeling for Denoising Parallel Corpora0
Self-Learning for Zero Shot Neural Machine Translation0
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