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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 11511175 of 1773 papers

TitleStatusHype
KNU-HYUNDAI's NMT system for Scientific Paper and Patent Tasks onWAT 20190
Our Neural Machine Translation Systems for WAT 20190
Exploiting Multilingualism through Multistage Fine-Tuning for Low-Resource Neural Machine Translation0
Exploiting Monolingual Data at Scale for Neural Machine Translation0
NICT's participation to WAT 2019: Multilingualism and Multi-step Fine-Tuning for Low Resource NMT0
Sarah's Participation in WAT 20190
Mixed Multi-Head Self-Attention for Neural Machine Translation0
Adaptively Scheduled Multitask Learning: The Case of Low-Resource Neural Machine Translation0
ESPnet How2 Speech Translation System for IWSLT 2019: Pre-training, Knowledge Distillation, and Going Deeper0
Document-level Neural Machine Translation with Associated Memory Network0
Adapting Multilingual Neural Machine Translation to Unseen LanguagesCode0
A Latent Morphology Model for Open-Vocabulary Neural Machine TranslationCode0
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
A language processing algorithm for predicting tactical solutions to an operational planning problem under uncertainty0
Controlling Utterance Length in NMT-based Word Segmentation with Attention0
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
Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back Translation0
Overcoming the Rare Word Problem for Low-Resource Language Pairs in Neural Machine Translation0
On Leveraging the Visual Modality for Neural Machine Translation0
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