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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 11261150 of 1773 papers

TitleStatusHype
Long Warm-up and Self-Training: Training Strategies of NICT-2 NMT System at WAT-20190
Our Neural Machine Translation Systems for WAT 20190
LTRC-MT Simple \& Effective Hindi-English Neural Machine Translation Systems at WAT 20190
Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back-TranslationCode0
Idiap NMT System for WAT 2019 Multimodal Translation Task0
UCSYNLP-Lab Machine Translation Systems for WAT 20190
Benefits of Data Augmentation for NMT-based Text Normalization of User-Generated Content0
Sentiment Aware Neural Machine Translation0
Masked Language Model ScoringCode1
Document-level Neural Machine Translation with Associated Memory Network0
A Latent Morphology Model for Open-Vocabulary Neural Machine TranslationCode0
Adapting Multilingual Neural Machine Translation to Unseen LanguagesCode0
Findings of the Third Workshop on Neural Generation and Translation0
Multitask Learning For Different Subword Segmentations In Neural Machine Translation0
Promoting the Knowledge of Source Syntax in Transformer NMT Is Not Needed0
Controlling the Output Length of Neural Machine Translation0
Robust Neural Machine Translation for Clean and Noisy Speech Transcripts0
Controlling Utterance Length in NMT-based Word Segmentation with Attention0
A language processing algorithm for predicting tactical solutions to an operational planning problem under uncertainty0
On the Importance of Word Boundaries in Character-level Neural Machine TranslationCode0
From the Paft to the Fiiture: a Fully Automatic NMT and Word Embeddings Method for OCR Post-CorrectionCode0
Novel Applications of Factored Neural Machine Translation0
Overcoming the Rare Word Problem for Low-Resource Language Pairs in Neural Machine Translation0
Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back Translation0
On Leveraging the Visual Modality for Neural Machine Translation0
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